{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "960ceacb-3c3f-484c-95b9-172bd009b1a4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This is a generic code for drawing a state's Home Districts for neutral map estimation\n",
      "In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\n"
     ]
    }
   ],
   "source": [
    "#  THIS IS THE PRIMARY VERSION TO USE FOR ALL STATES  #from VA 5/15/24\n",
    "print(\"This is a generic code for drawing a state's Home Districts for neutral map estimation\") #Jan'24\n",
    "print(\"In this code, we use the term 'tract' generically to refer the base building block, usually vtd's\")\n",
    "import shapely\n",
    "from shapely.geometry import Point, LineString, Polygon\n",
    "from shapely.ops import nearest_points, transform\n",
    "from shapely.affinity import translate, scale\n",
    "import geopandas as gpd\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from numpy import random\n",
    "from scipy.stats import norm\n",
    "from scipy.optimize import minimize, minimize_scalar\n",
    "import math\n",
    "import time\n",
    "import ast\n",
    "# from HDmethods import *   #I want to implement this, but my HDmethods require shapely functions\n",
    "# see https://stackoverflow.com/questions/66877728/proper-way-to-use-import-when-calling-external-function for a future workaround\n",
    "\n",
    "dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "#handy function for plotting Polygon or multiPolygon tracts and precincts\n",
    "def plotPoly(inputPoly,LW=1):\n",
    "    dummyPoly = Polygon([(0,0),(0,1),(1,1)])\n",
    "    if inputPoly.geom_type == dummyPoly.geom_type:\n",
    "        x,y = inputPoly.exterior.xy\n",
    "        plt.plot(x,y,lw=LW)\n",
    "    else:\n",
    "        for geom in inputPoly.geoms:\n",
    "            if geom.area > 0:  #to avoid error with LineString geom parts\n",
    "                x,y = geom.exterior.xy\n",
    "                plt.plot(x,y,lw=LW)  \n",
    "def plotCenter(t,geom,FONTSIZE=10):\n",
    "    plt.text(geom.centroid.x,geom.centroid.y,t,ha='center',fontsize=FONTSIZE)\n",
    "    \n",
    "def r3(number):\n",
    "    result = round(number,3)\n",
    "    return result\n",
    "\n",
    "def r5(number):\n",
    "    result = round(number,5)\n",
    "    return result\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "2ab4a3d5-f4e7-4aec-b81c-0e786cd35b57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "def getWeightedAvgAndSD(LIST, WEIGHTS):  #from IN\n",
    "    nWeights = len(WEIGHTS)\n",
    "    normWeights = [WEIGHTS[i] / np.sum(WEIGHTS) for i in range(nWeights) ]\n",
    "    AVG = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        AVG += normWeights[i] * value\n",
    "    sumVar = 0.\n",
    "    for i, value in enumerate(LIST):\n",
    "        sumVar += normWeights[i] * (value - AVG)**2\n",
    "    SD = sumVar ** 0.5     #don't need to normalize again since weights were normalized\n",
    "    return AVG, SD\n",
    "\n",
    "def squish(shapeList, cutLINE, farLINE, newFarLINE):\n",
    "    \"\"\"\n",
    "    This method compresses a list of shapes lying between the cutLINE and the farLINE)\n",
    "    such that the Polygons now lie between the cutLINE and the newFarLINE, which is closer to the cutLINE\n",
    "    Used to compress state outcroppings into a more compact state representation.\n",
    "     (I tried doing this point by point (see #'s), but this overdistorted geometries.)\n",
    "      (#This was a manual alternative to shapely.affinity.scale and .translate operations)\n",
    "       So instead, we run this AFTER established untransformed map topology, and \n",
    "        we simply scale and translate each unit.  This loses true connectivity.\n",
    "        Scaling is all lengths scale by compression of distance\n",
    "    The cut, far, and newFar LineString segments are preferably parallel\n",
    "    The method returns the modified shapes of all pollys\n",
    "    \"\"\"\n",
    "    if cutLINE.intersects(farLINE) or cutLINE.intersects(newFarLINE):\n",
    "        print(\"cutLine,farLine, newFarLine were\",cutLINE, farLINE, newFarLINE)\n",
    "        raise Exception(\"ERROR: the proposed cutLine intersects the current or proposed far line\")\n",
    "    newPollys = list()\n",
    "    for polly in shapeList:\n",
    "        pollyCP = polly.centroid\n",
    "        cutPt =     nearest_points(cutLINE,   pollyCP)[0]\n",
    "        farPt =     nearest_points(farLINE,   pollyCP)[0]\n",
    "        newFarPt =  nearest_points(newFarLINE,pollyCP)[0]\n",
    "        curr_cutX, curr_cutY =            pollyCP.x - cutPt.x, pollyCP.y -  cutPt.y\n",
    "        currFar_CutX , currFar_CutY  =    farPt.x - cutPt.x, farPt.y   -  cutPt.y\n",
    "        new_currFarX, new_currFarY =      newFarPt.x - farPt.x, newFarPt.y - farPt.y\n",
    "        newFar_CutX,  newFar_CutY =       newFarPt.x - cutPt.x, newFarPt.y   -  cutPt.y\n",
    "        distanceRatio = newFarPt.distance(cutPt)/farPt.distance(cutPt) #scale area ^length^2\n",
    "        XOFF,YOFF = 0., 0.\n",
    "        XFACT, YFACT = 1., 1.  #default = no stretch\n",
    "        # basic equation: (new-cut)/(curr-cut) = (newFar-cut)/(currFar - cut)\n",
    "        #  or: (new-curr)  = (curr-cut)*(newFar-currFar)/(currFar - cut)   # -1 to both sides\n",
    "        if currFar_CutX != 0:\n",
    "            XOFF =  curr_cutX * new_currFarX / currFar_CutX\n",
    "            XFACT =              newFar_CutX / currFar_CutX\n",
    "        if currFar_CutY != 0:\n",
    "            YOFF =  curr_cutY * new_currFarY / currFar_CutY\n",
    "            YFACT =              newFar_CutY / currFar_CutY\n",
    "        newPolly = translate(polly,xoff=XOFF,yoff=YOFF)\n",
    "        newPolly = scale(newPolly, xfact=XFACT, yfact=YFACT, origin='centroid')\n",
    "        newPollys.append( newPolly )       \n",
    "    return newPollys\n",
    "\n",
    "def getHDcp(TRACTCP,TRACTPOP, TRACTLIST, SPLITTRACTNO = -777,SPLITTRACTUSE = 1.):  #population centerpoint of a Home District or county (cluster)\n",
    "    cpx, cpy, sumPop = 0.,0., 0.\n",
    "    for tt in TRACTLIST:\n",
    "        USE = 1.\n",
    "        if tt ==    SPLITTRACTNO:\n",
    "            USE =   SPLITTRACTUSE\n",
    "        sumPop += USE*TRACTPOP[tt]\n",
    "        cpx +=    USE*TRACTPOP[tt] * TRACTCP[tt].x\n",
    "        cpy +=    USE*TRACTPOP[tt] * TRACTCP[tt].y\n",
    "    HDCP_ = Point(cpx/sumPop, cpy/sumPop)\n",
    "    return HDCP_\n",
    "\n",
    "#  The below four methods are TO SNAP to HD SHAPES without any solving / iteration\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    The optional xScale parameter is the ratio of longitude to latitude lengths scales (<<1 for far from equator)\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def buildPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a 4-tri polygon from four HD wedges emanating from the centerpoint\n",
    "    Pt = [Point(0,0)]*12                      #xScale has same meaning as in buildWedge\n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW]  #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ]  \n",
    "        Pt[nW*2] =   Point(CP.x + RADII[nW]/XSCALE*math.cos(ccwAngle), CP.y + RADII[nW]*math.sin(ccwAngle) )\n",
    "        Pt[nW*2+1] = Point(CP.x + RADII[nW]/XSCALE*math.cos( cwAngle), CP.y + RADII[nW]*math.sin( cwAngle) )        \n",
    "    POLLY = Polygon([Pt[0],Pt[1],Pt[2],Pt[3],Pt[4],Pt[5],Pt[6],Pt[7] ])\n",
    "    return POLLY\n",
    "\n",
    "def buildArcPoly(CP, RADII, ANGLES, XSCALE = 1.0):  #reconstructs a fuller polygon from four HD wedges emanating from the centerpoint\n",
    "    twoPi = 2. * 3.1415926   #xScale has same meaning as in buildWedge\n",
    "    POINTS = list()                   \n",
    "    for nW in range(4): \n",
    "        ccwAngle = ANGLES[nW] % twoPi                 #these two are the angles at start and end of nth wedge\n",
    "        cwAngle =  ANGLES[ int((nW+1)%4) ] % twoPi \n",
    "        midAngle = [0.75*ccwAngle + 0.25*cwAngle , 0.25*ccwAngle + 0.75*cwAngle ]  #avoid s sampling cone center for wide angles\n",
    "        if abs (ccwAngle - cwAngle) > 3.1415926 :  #angles straddle angle=0\n",
    "            midAngle = [0.75*(ccwAngle - twoPi) + 0.25*cwAngle , 0.25*(ccwAngle -twoPi) + 0.75*cwAngle ]\n",
    "        angList = [ccwAngle] + midAngle + [cwAngle]\n",
    "        for ang in angList:\n",
    "            POINTS.append(Point(CP.x + RADII[nW]/XSCALE*math.cos(ang), CP.y + RADII[nW]*math.sin(ang) ) )\n",
    "                          \n",
    "    POLLY = Polygon(POINTS)\n",
    "    return POLLY\n",
    "\n",
    "def getPolyPop(POLLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points contained by a polygon\n",
    "    WPOP, WLIST = 0., list()\n",
    "    for tt in CANDIDATELIST:\n",
    "        if POLLY.contains(TRACTCP[tt]):\n",
    "            WPOP += TRACTPOP[tt]\n",
    "            WLIST.append(tt)\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonCPP(POLLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county in getPolyPop\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if POLLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getNonHCunits(POLLY, HC, UNITLIST, UNITCP, UNITPOP, ALLFUSEDCOUNTIES, AREAFRAC, COUNTYGEOM, \n",
    "                  NEIGHBORCOUNTYLIST, COUNTYUNITLIST):\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a POLLY polygon for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county.  This should be more efficient than probing every unit in the map\n",
    "    After each county is checked, it goes into the checked list so we don't re-check, then we recursively probe county neighbors\n",
    "    \"unit counties\" are added as whole units if a sufficient area fraction is captured.  For non-unitCs, we probe each component vtd / tract\n",
    "    \"\"\"\n",
    "    UPOP, ULIST = 0., list()\n",
    "    checkedClist = [HC]   #dynamic list of counties we've already checked.  We probed the home county before we called this method\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        #1/9/24 - DO WE NEED TO MODIFY THE ORDER BELOW TO AVOID CREATING HOLES AND ENCLAVES ??  #\n",
    "        \n",
    "        for c in latestClist:\n",
    "            for cc in list( set(NEIGHBORCOUNTYLIST[c]).difference(set(ALLFUSEDCOUNTIES)) ):\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        if cc+0.5 in UNITLIST:\n",
    "                            if POLLY.intersection(COUNTYGEOM[cc]).area >=  AREAFRAC[cc] * COUNTYGEOM[cc].area :\n",
    "                                intersectedClist.append(cc)   #for unit counties, intersections count only if they capture sufficient area\n",
    "                                newClist.append(cc)\n",
    "                                UPOP += UNITPOP[UNITLIST.index(cc+0.5)]\n",
    "                                ULIST.append( UNITLIST.index(cc+0.5) )\n",
    "                        else:                           \n",
    "                            intersectedClist.append(cc)\n",
    "                            newClist.append(cc)\n",
    "                            if POLLY.contains(COUNTYGEOM[cc]):\n",
    "                                unitsToAdd = COUNTYUNITLIST[cc]\n",
    "                                UPOP += np.sum(  [ UNITPOP[uu] for uu in unitsToAdd ]  )\n",
    "                                ULIST += unitsToAdd\n",
    "                            else:\n",
    "                                for uu in COUNTYUNITLIST[cc]:\n",
    "                                    if POLLY.contains(UNITCP[uu]):\n",
    "                                        UPOP += UNITPOP[uu]\n",
    "                                        ULIST.append(uu)\n",
    "        latestClist = newClist.copy()\n",
    "        \n",
    "    return UPOP, ULIST\n",
    "\n",
    "def clusterSwell(CP_, CCBgeom, CCBpop, allUnits, unitCP, unitPop, unitNbrs, borderUnits, TGTPOP):\n",
    "    \"\"\"\n",
    "    This method grows a Home District by \"swelling\" from a corner county cluster.  First, we add the full cluster,\n",
    "     then we add closest neighbor units to the home district centerpoint CP_ until we reach the TGTPOP\n",
    "     new for MN 4/7/24 - don't enforce contiguity here -- too slow -- fix in cleanup stage instead\n",
    "     \"\"\"\n",
    "    hd_CCBdist = [CP_.distance(geo) for geo in CCBgeom]\n",
    "    CCBno = hd_CCBdist.index(np.min(hd_CCBdist))  #ID's the closest cluster to this HD center.  Should contain the HD, but rarely will not\n",
    "    unitNo = allUnits.index(CCBno+0.25)\n",
    "    newList, prevList, addedList, addedPop = [unitNo], [unitNo], [unitNo], unitPop[unitNo]  #seed with the cluster pop and unit\n",
    "    while addedPop < 0.99 * TGTPOP and len(newList) > 0:\n",
    "        tryList = getAdjoiners(addedList,unitNbrs)\n",
    "        tryDist = [ CP_.distance(unitCP[UU]) for UU in tryList ]\n",
    "        idx = np.argsort(tryDist)\n",
    "        idxNo, newList = 0, list()\n",
    "        haveNotAdded = True\n",
    "        while idxNo < len(tryList) and haveNotAdded:\n",
    "            UU = tryList[idx[idxNo]]\n",
    "            if unitPop[UU] + addedPop < 1.01 * TGTPOP :  #and wontEnclave(UU, addedList, unitNbrs, borderUnits) :  #we'll post-fix contig'y\n",
    "                newList.append(UU)\n",
    "                addedList.append(UU)\n",
    "                addedPop += unitPop[UU]\n",
    "                haveNotAdded = False\n",
    "            idxNo +=1\n",
    "        prevList = newList.copy()\n",
    "        \n",
    "    return addedPop, addedList\n",
    "            \n",
    "def getFakeHC(HDPOLLY, HC, CCBlist, countyGeom, MAP) :\n",
    "    \"\"\"\n",
    "    This method is for setting a fake home county for counties in corner clusters, so that county neighbors can be found budding from the \"home county\"\n",
    "    We pick the county in the cluster closest to the map center and intersecting the HDpoly.  This will be an active county on the cluster boundary   \n",
    "    \"\"\"\n",
    "    MAPcenter = MAP.centroid\n",
    "    for L in CCBlist:\n",
    "        if HC in L:\n",
    "            distList, cList = list(), list()\n",
    "            for C in L:\n",
    "                if HDPOLLY.intersects(countyGeom[C]):\n",
    "                    distList.append(countyGeom[C].distance(MAPcenter))\n",
    "                    cList.append(C)\n",
    "    fakeHC = cList[distList.index(np.min(distList)) ]\n",
    "    return fakeHC\n",
    "\n",
    "def getLongDist(CP1, CP2, xScale = 1.0): #distance between two points with EW distance scaled down by latitude\n",
    "    #LAT = MAP.centroid.y\n",
    "    #xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "    dist = ( xScale*xScale * (CP1.x - CP2.x)*(CP1.x - CP2.x)  +  (CP1.y - CP2.y)*(CP1.y - CP2.y) ) **0.5 \n",
    "    return dist\n",
    "\n",
    "# THESE ARE THE METHODS USED IN SOLVING HD SHAPES\n",
    "def buildWedge(CP,STARTANGLE, ENDANGLE, RR,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    This method creates triangular wedges from a centerpoint, wedge start and end angles, and wedge radius.\n",
    "    It passes back a SINGLE wedge polygon\n",
    "    \"\"\"\n",
    "    A0 = STARTANGLE\n",
    "    A1 = ENDANGLE\n",
    "    PT1 = Point(CP.x + RR/XSCALE*math.cos(A0),  CP.y + RR*math.sin(A0) )\n",
    "    PT2 = Point(CP.x + RR/XSCALE*math.cos(A1),  CP.y + RR*math.sin(A1) )\n",
    "    WEDGEPOLY = Polygon( [CP,PT1, PT2 ])\n",
    "    return WEDGEPOLY\n",
    "\n",
    "def getCountyWP(T, WEDGEPOLY, TRACTCP, TRACTPOP, CANDIDATELIST ):  #simple capture of pop points in a wedge excluding a point\n",
    "        WPOP, WLIST = 0., list()\n",
    "        for tt in CANDIDATELIST:\n",
    "            if tt != T and WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                WPOP += TRACTPOP[tt]\n",
    "                WLIST.append(tt)\n",
    "        return WPOP, WLIST\n",
    "\n",
    "def getNonCWP(WEDGEPOLY, HC, TRACTCP, TRACTPOP, COUNTYGEOM, COUNTYPOP, COUNTYTRACTLIST, NEIGHBORCOUNTYLIST) : #nonCounty wedgePop\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by an infinite polygonal wedge for counties contiguous with the Home County (no hop-overs)\n",
    "    , EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def isIncludedA(STARTa, ENDa, TESTa): #determines if a test angle is between a start and end angle (True)\n",
    "    \"\"\"\n",
    "    The start angle must be less than the end angle when placed on the [0, 2 pi] interval  (ccw convention)\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    STARTa, ENDa, TESTa = STARTa % (2.*pi), ENDa % (2.*pi), TESTa % (2.*pi)  #place on the 2pi interval\n",
    "    isIncludedA = False\n",
    "    if STARTa  > ENDa :  #included angle straddles east\n",
    "        if   TESTa  >= STARTa or TESTa < ENDa :  #near-east between the two\n",
    "            isIncludedA = True\n",
    "    else:\n",
    "        if TESTa >= STARTa and TESTa < ENDa :  #normal case\n",
    "            isIncludedA = True\n",
    "    return isIncludedA\n",
    "\n",
    "def getNonCWP_c(STARTANGL, ENDANGL, HC, TRACTCP,TRACTPOP,COUNTYGEOM,COUNTYPOP,COUNTYTRACTLIST,\n",
    "                                    NEIGHBORCOUNTYLIST, UUDIST, UUANGLE, WEDGEPOLY) :\n",
    "    \"\"\"\n",
    "    This method computes the total pop captured by a polygonal wedge for counties contiguous with the Home County (no hop-overs),\n",
    "    EXCLUDING the home county for the centerpoint of the wedge.  This should be more efficient than going tract-by-tract\n",
    "    After each county is checked, it goes into the checked list so we don't re-check.  Next round = nonchecked neighbors of current round\n",
    "    Unlike its getNonCWP vanilla parent, this one uses angles rather than infinite wedges for units (still wedges for counties)\n",
    "    \"\"\"\n",
    "    WPOP, WLIST = 0., list()\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if WEDGEPOLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "                        if WEDGEPOLY.contains(COUNTYGEOM[cc]):\n",
    "                            WPOP += COUNTYPOP[cc]\n",
    "                            WLIST += COUNTYTRACTLIST[cc]\n",
    "                        else:\n",
    "                            for tt in COUNTYTRACTLIST[cc]:\n",
    "                                if isIncludedA(STARTANGL, ENDANGL, UUANGLE[tt]): #WEDGEPOLY.contains(TRACTCP[tt]):\n",
    "                                    WPOP += TRACTPOP[tt]\n",
    "                                    WLIST.append(tt)\n",
    "        #below is temp debug\n",
    "        #print(len(intersectedClist),WPOP, len(WLIST),\"counties probed, pop, len(tractList)\")\n",
    "        latestClist = newClist.copy()\n",
    "    return WPOP, WLIST\n",
    "\n",
    "def getExitAngle(CP,WEDGEPOLY, MAP, A0, A1):\n",
    "    \"\"\"\n",
    "    This code determines the orientation angle from a CenterPoint to the intersection of a wedge with an exterior boundary\n",
    "    If an intersection is not found, we just take the average angle of the wedge start/stop angles A0, A1 as this orientation angle\n",
    "    MAP must be a single polygon for this to work in the revised code (tho could run thru all polygons in MAP if a multipolygon)\n",
    "    \"\"\"\n",
    "    EXITANGLE = 0.5* (A0 + A1) #this will be the angle from the x-axis to the exit beeline\n",
    "    if WEDGEPOLY.intersects(MAP.exterior):\n",
    "        edgeLine = WEDGEPOLY.intersection(MAP.exterior) #true state boundary line where wedge crossed it\n",
    "        closePoint = nearest_points(edgeLine,CP)[0]\n",
    "        dx = closePoint.x - CP.x       #this and below lines were indented in original code***\n",
    "        dy = closePoint.y - CP.y\n",
    "        EXITANGLE =  pi/2. * np.sign(dy)  #default in case dx=0\n",
    "        if (dx != 0. ):\n",
    "            EXITANGLE = math.atan(dy/dx) + random.uniform(-0.01,0.01) #add wiggle to avoid exact NESW orientation in gridded states\n",
    "            if dx < 0. :  #use complementary atan solution; boundary is west of tract centroid\n",
    "                EXITANGLE = pi + EXITANGLE\n",
    "    return EXITANGLE # this reorients 0th wedge to face boundary's closest point\n",
    "\n",
    "def getNewAngles(mWP, tWP, ADP, LEVEL_L, MINADJRATIO, MAXANGLE, MAXANGLERATIO, nUNFILLEDWEDGES): \n",
    "    \"\"\"\n",
    "    This method classifies Home Districts based on how their post-reoriented equi-angle max wedge pops stack up vs targets,\n",
    "     then changes wedge angles in some situations to pick up more population along the boundary\n",
    "    If there is one wedge that will fall short of a quarter district pop, then we adjust angles if it is sufficiently short    \n",
    "    (Using \"HD2\" code, the opposite wedge's pop will be constrained as well.)\n",
    "    If there are two opposite-facing constrained wedges, we do not adjust angles\n",
    "    If there are two adjacent constrained wedges, we classify as a corner (no angle change) if the adjacent wedge is sufficiently constrained,\n",
    "      otherwise we treat as a single constrained wedge\n",
    "    If there are three constrained wedges, the angles are unchanged; we use the 4th wedge to pick up all pop\n",
    "    If all four wedges are constrained, there is an error and we raise a flag.\n",
    "    mWP is the quadlist of maxWedgePops we would get by extending each wedge to the MAP boundary\n",
    "    tWP is the quadlist of targetWedgePops\n",
    "    LEVEL_L is the non-dimensional distance to the boundary at which we no longer adjust wedge angles to drive more near-boundary pop\n",
    "    MAXANGLERATIO is the max ratio of the wide angle (facing the boundary) to the normal angle (e.g. 90deg for four wedges) ...\n",
    "    but this is truncated near-boundary to MAXANGLE (e.g. 1.8 pi/2 instead of increasing all the way to 1.9 pi/2)\n",
    "      NOTE THAT this code does not consider nearly-shorted wedges -- those are a separate method called later if all mWP's > tWP's\n",
    "    \"\"\"   \n",
    "    isChange = False   #default; we are NOT changing angles\n",
    "    printDebuggg = False\n",
    "    NWEDGES = len(mWP)\n",
    "    avgWedgeAngle = 2.*math.pi / NWEDGES\n",
    "    minW = mWP.index(np.min(mWP))  #index of the wedge with the lowest max wedge pop\n",
    "    oppW = int( int(minW + NWEDGES/2) % NWEDGES )  #and its opposing wedge\n",
    "    Lstar = ( mWP[minW] / (0.25*ADP) )**0.5  #shortest wedge's nondim'l distance to boundary\n",
    "    \n",
    "    case = \"keep same wedge angles\" #default; no unfillable wedges or all but one are unfillable\n",
    "    if nUNFILLEDWEDGES >= NWEDGES:\n",
    "        raise Exception(\"ERROR! ALL WEDGES ARE CONSTRAINED for tract\",t,\".  IMPOSSIBLE!!\")\n",
    "    if nUNFILLEDWEDGES == 1:\n",
    "        case = \"constrain opp wedge\"\n",
    "        if Lstar >= levelL :\n",
    "            case = \"keep same wedge angles\"  #not close enough to boundary to distort HD shape\n",
    "    if nUNFILLEDWEDGES == 0 or nUNFILLEDWEDGES == NWEDGES - 1:  #far from boundary or with only one wedge w/large pop\n",
    "        case = \"keep same wedge angles\"   \n",
    "    if nUNFILLEDWEDGES == 2:  #must determine if opposite or adjacent           \n",
    "        if mWP[oppW] < tWP[oppW]:  #shorted wedges oppose each other, so ...\n",
    "            case = \"keep same wedge angles\" #...the HD shape will naturally widen to pick up adjacent pop\n",
    "        else:  #we have 2 adjacent (non-opposing) shorted wedges... but how shorted?  ID the adjacent wedge\n",
    "            for nW in range(NWEDGES):\n",
    "                if mWP[nW] < tWP[nW] and nW != minW :\n",
    "                    adjW = nW  #this is the adjacent wedge\n",
    "                    adjRatio = mWP[adjW] / tWP[adjW]\n",
    "            if adjRatio < minAdjRatio:  #we're close to a corner (this adjacentWedge is significantly constrained)\n",
    "                case = \"keep same wedge angles\"\n",
    "                if printDebuggg :\n",
    "                    print(\"Not adjusting wedge angles for tract\",t,\"as 2nd-sparsest wedge\",adjW,\"has pop\",mWP[adjW] )\n",
    "            else:\n",
    "                case = \"constrain opp wedge\"  #we will set the angles and target pops as if the adj wedge were not constrained\n",
    "    \n",
    "    if case == \"keep same wedge angles\":\n",
    "        isChange = False\n",
    "        WEDGEANGLE = [avgWedgeAngle for w in range(NWEDGES) ]\n",
    "\n",
    "    if case == \"constrain opp wedge\":  #Here, we modify wedge angles.  MWP's will be recalc'd outside the method\n",
    "        isChange = True  \n",
    "        wideAngle = min(MAXANGLE, avgWedgeAngle*max(  1,( 1.+(MAXANGLERATIO-1.)*(LEVEL_L - Lstar)/(LEVEL_L - 0.) )  ) )\n",
    "        WEDGEANGLE = [(2.*pi - 2. * wideAngle)/ (NWEDGES - 2.) for w in range(NWEDGES) ]  \n",
    "        WEDGEANGLE[minW] = wideAngle\n",
    "        WEDGEANGLE[oppW] = wideAngle\n",
    "    \n",
    "    return isChange, WEDGEANGLE\n",
    "\n",
    "def rebalanceTWPs(MWP, TWP, BARREDLIST=list()):\n",
    "    \"\"\"\n",
    "    This method iteratively increases targetWedgePops to accommodate wedges that have maxWedgePop < targetWedgePop.\n",
    "    The wedgePop gap is distributed equally among wedges that have some capacity and are not BARRED (e.g. an opposite wedge in HD2 method)\n",
    "     (If this pushes some wedges over capacity, this will be fixed in a later run through loop inside this method)\n",
    "    We also flag which wedges \"will fill\" = have sufficient capacity after the rebalancing of the targets to not use the entire maxWedgePoly\n",
    "    \"\"\"\n",
    "    DEBUGrTWP = False\n",
    "    NWEDGES = len(MWP)\n",
    "    unorderedCapacity = [MWP[w] - TWP[w] for w in range(NWEDGES) ]\n",
    "    idx = np.argsort(unorderedCapacity)\n",
    "    #for nn in range(NWEDGES):\n",
    "    #    print(MWP[idx[nn]])\n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        for nn in range(NWEDGES):\n",
    "            print(\"barred list, orig MWP, TWP\",BARREDLIST, r3(MWP[nn]),r3(TWP[nn]) )\n",
    "    \n",
    "    for nn in range(NWEDGES):  #going from least to most maxWedgePop here ...\n",
    "        nW = idx[nn]\n",
    "        if MWP[nW] < TWP[nW]: #need to redistribute extra target to higher-capacity wedges ...\n",
    "            wedgePopGap = TWP[nW] - MWP[nW]\n",
    "            TWP[nW] = MWP[nW]  #max out this wedge\n",
    "            nReceivers = 0.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....\n",
    "                    nReceivers += 1.\n",
    "            for WW in range(NWEDGES):\n",
    "                if MWP[WW] > TWP[WW] and WW not in BARREDLIST:  #this wedge could take at least a little more ....                    \n",
    "                    TWP[WW] += wedgePopGap / nReceivers  #... so give it equal share of the gap, even if this goes over; we'll correct in later loop\n",
    "                    \n",
    "    WILLFILL = [1]*NWEDGES\n",
    "    for nW in range(NWEDGES):\n",
    "        if MWP[nW] < 1.001* TWP[nW]:  #required pop nearly or truly requires the entire wedge\n",
    "            WILLFILL[nW] = 0 \n",
    "    if np.min(TWP) < 0.99 * np.average(TWP) and DEBUGrTWP:  #debug\n",
    "        print(\"adjusted TWP's are\",TWP)\n",
    "    return TWP, WILLFILL\n",
    "\n",
    "def solveWedge(nontractTWP,t, hC, STARTANGLE, ENDANGLE, MAXD, TOLERPOPS, tractCP, tractPop,\n",
    "               countyTractList, countyGeom, countyPop, neighborCountyLIST,XSCALE=1.0):\n",
    "    \"\"\"\n",
    "    #### NO LONGER USED; SEE FASTER SOLVEWEDGEB BASED ON UNIT-UNIT DISTANCES  *********\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop (which excludes the home tractPop)\n",
    "    The wedge has a fixed starting and ending angle.  Its maximum diameter is angle-related to max diameter of the state map\n",
    "    It uses bisection, NOT scipy minimize to minimize the square error in the wedge pop vs. target\n",
    "    The method passes back the final wedge pop and list of tracts in the wedge\n",
    "    \"\"\"\n",
    "    chgLoopNo, maxLoopNo = 10., 22.  #when we will start relaxing the pop tolerance, and when we give up\n",
    "    includedAngl = ENDANGLE - STARTANGLE\n",
    "    guessedR = MAXD / math.cos(0.5*includedAngl)  #max possible wedge radius, accounting for possible wide angle\n",
    "    popTol = TOLERPOPS[0]  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    #                      We loosen toward half the MAX tractPop if not converging\n",
    "    \n",
    "    offsetPop = 88888888.  #to force a reduction the first time through the loop\n",
    "    dr = guessedR\n",
    "    loopNo = 0\n",
    "    while abs(offsetPop) > popTol and loopNo < maxLoopNo:\n",
    "        loopNo +=1\n",
    "        popTol = max(TOLERPOPS[0], TOLERPOPS[0] + (TOLERPOPS[1] - TOLERPOPS[0]) * (loopNo - chgLoopNo) / (maxLoopNo - chgLoopNo) )\n",
    "        dr = 0.5*dr\n",
    "        guessedR -= dr*np.sign(offsetPop)\n",
    "        \n",
    "        guessedPoly = buildWedge(tractCP[t],STARTANGLE, ENDANGLE, guessedR,XSCALE) \n",
    "        iCP, iClist =  getCountyWP(t,guessedPoly, tractCP, tractPop, countyTractList[hC])\n",
    "        nonCP, nonClist = getNonCWP(guessedPoly, hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyLIST)\n",
    "        offsetPop = iCP + nonCP - nontractTWP\n",
    "        #print(t,loopNo,r5(guessedR),int(iCP),int(nonCP),r3(offsetPop+nontractTWP),r3(nontractTWP),\"t,loop,R,iCP,nonCP,pop,target\")\n",
    "        if loopNo >= maxLoopNo-1:\n",
    "            print(\"WARNING. Looped\",loopNo,\"times for t,angles,R\",t,r3(STARTANGLE),r3(ENDANGLE),r5(guessedR),\n",
    "                  \"wedgePop offset, target are\",int(offsetPop), int(nontractTWP) )    \n",
    "    finalPop = iCP + nonCP\n",
    "    finalList = iClist + nonClist\n",
    "    return finalPop, finalList, guessedR, loopNo\n",
    "\n",
    "#above = bisection.  Below solveWedgeB uses static unit-unit distances\n",
    "# Also tried scipy minimize, which doesn't seem any faster\n",
    "\n",
    "def solveWedgeB(nontractTWP,T, HC, POLLY, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that intersect,\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2x2 array\n",
    "    \"\"\"\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    \n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList = 0, 0, list()\n",
    "    notFull = True\n",
    "    while notFull :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist    \n",
    "\n",
    "def solveWedgeC(nontractTWP,T, HC, POLLY, STARTANGL, ENDANGL, TOLERPOP, TRACTCP, TRACTPOP, COUNTYNO,\n",
    "               COUNTYTRACTLIST, COUNTYGEOM, NEIGHBORCOUNTYLIST, UUDIST, UUANGLE):\n",
    "    \"\"\"\n",
    "    This heart of the code solves the wedge radius that gives the closest wedgePop to the TargetWedgePop\n",
    "    We first determine which counties intersect the maxWedgePop to reduce the candidate list\n",
    "    We then go through the tract list from closest to farthest, adding any (from candidate counties) that\n",
    "    fall within the angle range (in lieu of wedgeB's check for intersection),\n",
    "     until the target pop is reached. Note that the passed UUDIST is the slice for unit t, not the full 2D array\n",
    "    \"\"\"\n",
    "    pi = 3.141592653\n",
    "    popTol = TOLERPOP  #default tolerance = e.g. within 0.7 an AVERAGE tract's population.\n",
    "    STARTANGL, ENDANGL = STARTANGL % (2.*pi), ENDANGL % (2.*pi)\n",
    "    #preliminary - restrict the found units to those in contiguous counties to the home county\n",
    "    checkedClist = [HC]\n",
    "    intersectedClist = [HC]\n",
    "    latestClist = [HC]\n",
    "    while len(latestClist) > 0:\n",
    "        newClist = list()    #we loop until we don't find any more neighbors with intersection\n",
    "        for c in latestClist:\n",
    "            for cc in NEIGHBORCOUNTYLIST[c]:\n",
    "                if cc not in checkedClist:\n",
    "                    checkedClist.append(cc)\n",
    "                    if POLLY.intersects(COUNTYGEOM[cc]):\n",
    "                        intersectedClist.append(cc)\n",
    "                        newClist.append(cc)\n",
    "        latestClist = newClist.copy()\n",
    "    \n",
    "    idx = np.argsort(UUDIST)  #sort order from closest to farthest to the home unit\n",
    "    \n",
    "    i, capturedPop, capturedList, latestDist = 0, 0, list(), 0.00001  #dummy value\n",
    "    notFull = True\n",
    "    while notFull and i < len(UUDIST) - 2 :  #capturedPop < nontractTWP - popTol : \n",
    "        i +=1    #this skips over the home tract\n",
    "        TT = idx[i]\n",
    "        if COUNTYNO[TT] in intersectedClist and TT != T:  #just to be sure\n",
    "            if isIncludedA(STARTANGL, ENDANGL, UUANGLE[TT]) : #POLLY.contains(TRACTCP[TT]):\n",
    "                capturedPop += TRACTPOP[TT]\n",
    "                capturedList.append(TT)\n",
    "                latestDist = UUDIST[TT]\n",
    "            if capturedPop > nontractTWP - popTol:\n",
    "                notFull = False\n",
    "                \n",
    "    return capturedPop, capturedList, latestDist \n",
    "\n",
    "\n",
    "def getPartialTract(t, HDTRACTLIST, offsetPop, UUDIST, tractPop, neighborLIST):\n",
    "    \"\"\"\n",
    "    If offsetPop is >0, this method identifies the tract with centroid farthest from Home t that can jettison at least offsetPop ...\n",
    "    ... by slicing out part of this tract.\n",
    "    If offsetPop <0, we ID a tract CLOSEST to Home t among neighbors of in-HD tracts to pick up a partial\n",
    "    We return the tractID and its new partial use\n",
    "    We have updated this method to pass the uuDist slice for tract t instead of computing tract distances inside here\n",
    "    \"\"\"\n",
    "    debugGPT = False\n",
    "    NTRACTS = len(tractCP)\n",
    "    bigDist = 9999999.\n",
    "    qualifyingTractList = list()\n",
    "    isWholeTract = False\n",
    "    if offsetPop > 0:\n",
    "        homeDist = [0.]*NTRACTS  #default = 0 to not get picked\n",
    "        for TT in HDTRACTLIST:\n",
    "            if tractPop[TT] > offsetPop:\n",
    "                qualifyingTractList.append(TT)\n",
    "        for TT in qualifyingTractList:\n",
    "            homeDist[TT] = UUDIST[TT]\n",
    "        if len(qualifyingTractList) == 0:  #very rare case where all in-HD tracts are too small.  Jettison nearly the whole farthest one\n",
    "            isWholeTract = True\n",
    "            for TT in HDTRACTLIST:\n",
    "                if tractPop[TT] > 0.9*np.average(tractPop): #set arbitrary min qualifying pop\n",
    "                    homeDist[TT] = UUDIST[TT]\n",
    "        targetT = homeDist.index(np.max(homeDist))\n",
    "        partialUseFrac = max(0.0001,(tractPop[targetT] - offsetPop)/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(\"positive offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    else: #pick up a partial\n",
    "        homeDist = [bigDist]*NTRACTS\n",
    "        for TT in HDTRACTLIST:\n",
    "            for TTT in neighborList[TT]:\n",
    "                if TTT not in qualifyingTractList and TTT not in HDTRACTLIST and tractPop[TTT] > abs(offsetPop):\n",
    "                    qualifyingTractList.append(TTT)\n",
    "        for TTT in qualifyingTractList:\n",
    "            homeDist[TTT] = UUDIST[TTT]\n",
    "        if len(qualifyingTractList) == 0 :  #rare case where most nearby tracts are small.  Add nearly the whole biggest one\n",
    "            isWholeTract = True\n",
    "            maxPop = 0.\n",
    "            targetT = -999\n",
    "            for TT in HDTRACTLIST:\n",
    "                for TTT in neighborList[TT]:\n",
    "                    if TTT not in qualifyingTractList and TTT not in HDTRACTLIST : # we'll take just one, even if doesn't fill gap\n",
    "                        qualifyingTractList.append(TTT)\n",
    "            for TTT in qualifyingTractList:\n",
    "                if tractPop[TTT] > maxPop:\n",
    "                    targetT = TTT\n",
    "                    maxPop = tractPop[targetT]\n",
    "        else:\n",
    "            targetT = homeDist.index(np.min(homeDist))\n",
    "        partialUseFrac = min(0.9999, -1.* offsetPop/tractPop[targetT] )\n",
    "        if debugGPT:\n",
    "            print(t,\"'s negative offsetPop =\",offsetPop,\", ID'd tract\",targetT,\"with pop\",tractPop[targetT] )\n",
    "    \n",
    "    return targetT, partialUseFrac\n",
    "\n",
    "def getAdjoiners(UNITLIST, UNITNBRS): #returns all units that neighbor a UNITLIST but are not in the UNITLIST \n",
    "    allNbrs = list()\n",
    "    for U in UNITLIST:\n",
    "        allNbrs = allNbrs + UNITNBRS[U]\n",
    "    adjoiners = list( set(allNbrs).difference(set(UNITLIST)) )\n",
    "    return adjoiners\n",
    "\n",
    "def get2nbrs(ULIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    Get the combined list of first- and second-level neighbors of a LIST, using neighborList connectivity.  Excludes the source list\n",
    "    \"\"\"\n",
    "    firstList =  getAdjoiners(ULIST, UNITNBRS)\n",
    "    secondList = getAdjoiners(firstList, UNITNBRS)\n",
    "    twoLevelList = list( set(firstList + secondList).difference(set(ULIST) ) )\n",
    "    return twoLevelList\n",
    "\n",
    "def getContigFromStarter(starter, VLIST, NEIGHBORLIST):  #all contiguous units in VLIST, starting from starter unit\n",
    "    foundList, newList, prevList = [ starter ], [ starter ], [ starter ]\n",
    "    while len(newList) > 0:\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()        \n",
    "    return foundList   \n",
    "\n",
    "def isContiguous(VLIST,NEIGHBORLIST,returnBiggestPiece=False):\n",
    "    \"\"\"\n",
    "    This method determines if all items in a list form a continuous chain of neighbors based on the passed neighborlist\n",
    "    Empty lists are considered contiguous.  If discontiguous, a less-than-majority piece list is returned,\n",
    "     unless giveBig=True, in which case we return the biggest piece\n",
    "    \"\"\"    \n",
    "    isUnbroken, newList, foundList = True, list(), list()\n",
    "    if len(VLIST) > 0:\n",
    "        foundList, newList, prevList = [ VLIST[0] ], [ VLIST[0] ], [ VLIST[0] ]\n",
    "    while len(newList) > 0:  #this round's list of neighbors\n",
    "        newList = list()\n",
    "        for V in prevList:\n",
    "            for VV in NEIGHBORLIST[V]:\n",
    "                if VV in VLIST and VV not in foundList:\n",
    "                    newList.append(VV)\n",
    "                    foundList.append(VV)\n",
    "        prevList = newList.copy()      \n",
    "    pickedPieceList = foundList.copy()  #default contiguous sublist to pass back to main\n",
    "    \n",
    "    if len(foundList) < len(VLIST):  #not contiguous\n",
    "        isUnbroken  = False\n",
    "        pieceLists, remainingList = [foundList], list( set(VLIST).difference(set(foundList) ) )\n",
    "        if returnBiggestPiece == True:  #we were asked for the biggest piece, not a random small one, so we must find them all\n",
    "            if len(foundList) < 0.5*len(VLIST):\n",
    "                while len(remainingList) > 0:\n",
    "                    newList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                    pieceLists.append(newList)\n",
    "                    remainingList = list(set(remainingList).difference(set(newList)))\n",
    "                pieceLengths = [len(pL) for pL in pieceLists]\n",
    "                pickedPieceList = pieceLists[ pieceLengths.index(np.max(pieceLengths)) ]\n",
    "            \n",
    "        else: #quickly return a contiguous sub-list that's at most half the total units in the list\n",
    "            if len(foundList) > 0.5*len(VLIST): #pick a different piece; this one is the majority\n",
    "                pickedPieceList = getContigFromStarter(remainingList[0], remainingList, NEIGHBORLIST)\n",
    "                \n",
    "    return isUnbroken, pickedPieceList\n",
    "\n",
    "def enclaveCheck(UNITLIST,UNITNBRS,maxLoops=4):\n",
    "    \"\"\"\n",
    "    This method determines if a list of units has an unbroken boundary AND whether its complement has an unbroken boundary\n",
    "    If the complement boundary is broken, there is an enclave or the district is so disconnected its adjoining units aren't contiguous\n",
    "    The method returns contiguity of boundary and of its adjoiners.  Also returns the lists of boundary and complement-boundary units\n",
    "      If either of these is broken, only a contiguous sublist is returned that is guaranteed to be smaller than half (for finding enclaves)\n",
    "      maxLoops is the number of loops for expanding neighbors-of-neighbors for contiguity of the units outside the passed unit-list\n",
    "    \"\"\"\n",
    "    UNITSET = set(UNITLIST)\n",
    "    ADJLIST =  get2nbrs(UNITLIST, UNITNBRS)  #in case direct adjoiners are only queen-adjacent\n",
    "    #adjoinersOfAdjoiners = getAdjoiners(ADJLIST,  UNITNBRS)\n",
    "    #BDRYLIST = list( set(UNITLIST).intersection(set(adjoinersOfAdjoiners)) )  #this might fail for queen-adjacent boundary units\n",
    "    BDRYLIST = list (set(get2nbrs(ADJLIST,UNITNBRS)).intersection(UNITSET) )  #in case inHD boundary is only queen-adjacent\n",
    "    noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)  \n",
    "    unbroken, smallPieceList = isContiguous(BDRYLIST, UNITNBRS)\n",
    "    if not unbroken: #could be that district's boundary intersects the state boundary or there is a nonHD enclave inside the HD\n",
    "        unbroken, smallPieceList = isContiguous(UNITLIST, UNITNBRS)  #slower check for full district, not just its boundary \n",
    "    nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "    while nLoops <= maxLoops and not noEnclave:\n",
    "        nLoops +=1\n",
    "        newSet = set(ADJLIST)\n",
    "        for UU in ADJLIST:\n",
    "            newSet = newSet.union( set(UNITNBRS[UU]).difference(UNITSET) )\n",
    "        ADJLIST = list(newSet)\n",
    "        noEnclave, enclaveList =   isContiguous(ADJLIST, UNITNBRS)\n",
    "    #isJiggy = noEnclave and unbroken\n",
    "    return unbroken, noEnclave, smallPieceList, enclaveList\n",
    "\n",
    "def getBdryNonEdgers(UNITLIST, UNITNBRS): #all in-district boundary units that neighbor a non-district unit\n",
    "    ALLnonHDnbrs = set()\n",
    "    for UUU in UNITLIST:\n",
    "        ALLnonHDnbrs = ALLnonHDnbrs.union(set(UNITNBRS[UUU])).difference(set(UNITLIST))\n",
    "    BdryNonEdgerSet = set()\n",
    "    for UUU in UNITLIST:\n",
    "        if len(set(UNITNBRS[UUU]).intersection(ALLnonHDnbrs)) > 0:\n",
    "            BdryNonEdgerSet.add(UUU)\n",
    "    return list(BdryNonEdgerSet)\n",
    "\n",
    "def getEnclaveLists(UNITLIST, UNITNBRS):\n",
    "    \"\"\"\n",
    "    finds ALL units enclaved by a UNITLIST, parsed into lists of contiguous pieces\n",
    "    We assume the largest contiguous complement to the UNITLIST is not an enclave, but rather the majority of the HD complement\n",
    "    if the UNITLIST's complement (all couldBeEnclaved) is contiguous, the returned list will be blank\n",
    "    \"\"\"\n",
    "    eSets, nU = list(), len(UNITNBRS)\n",
    "    offmapList = list()\n",
    "    for i,L in enumerate(UNITNBRS):\n",
    "        if len(L) == 0:\n",
    "            offmapList.append(i)  #offmap list are units with no neighbors (were surrounded)\n",
    "    complementSet = set([i for i in range(nU)] ).difference( set(UNITLIST + offmapList) )    \n",
    "    remaining2nbrs = get2nbrs(UNITLIST, UNITNBRS)\n",
    "    \n",
    "    isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS) #quicker than contig check on entire complement\n",
    "    while not isContig:  #this will kick out before writing the final sublist = map majority\n",
    "        starter = shortList[0]\n",
    "        newEnclaveList = getContigFromStarter(starter, list(complementSet), UNITNBRS)\n",
    "        eSets.append(set(newEnclaveList))\n",
    "        remaining2nbrs = list(set(remaining2nbrs).difference(set(shortList)) )\n",
    "        isContig, shortList = isContiguous(remaining2nbrs,UNITNBRS)\n",
    "        \n",
    "        # couldBeEnclaved = list( set(couldBeEnclaved).difference(set(newEnclaveList)) )  #revised 18-Feb-24 -- was slower\n",
    "    fused_eSets = set()\n",
    "    for i, eSet in enumerate(eSets):\n",
    "        fused_eSets = fused_eSets.union(eSet)\n",
    "        for j in range(i+1, len(eSets) ) :\n",
    "            eSets[j] = eSets[j].difference(eSet)  #in case contiguity occurs, but not in 2-neighbor list; avoid double-count\n",
    "    remnant_eSet = complementSet.difference(fused_eSets) \n",
    "    eLengths = [len(eSet) for eSet in eSets]\n",
    "    if len(eSets) > 0:\n",
    "        if len(remnant_eSet) < np.max(eLengths):  #exchange the small remnant for the biggest found \"enclave\" (usually the major complement) \n",
    "            eSets[eLengths.index(np.max(eLengths))] = remnant_eSet.copy()\n",
    "    eLists = [list(eSet) for eSet in eSets]\n",
    "    return eLists\n",
    "\n",
    "def wontEnclave(proposedU, dList, NBRLIST, mapBDRYLIST):\n",
    "    \"\"\"\n",
    "    This method checks if adding a proposedU to a dList (list of units in a district) will create an \"enclave\" of units in the dList's complement\n",
    "    via two problems:  A) the dList will now have a discontiguous set of units on the map boundary.  The full map boundary list is mapBDRYLIST\n",
    "      B) The non-dList neighbors of dList units aren't contiguous\n",
    "    The method doesn't require that the dList wontEnclave without the proposedU included; it just checks the proposedU + dList combination\n",
    "    It also doesn't check that the dList is itself contiguous with or without proposedU\n",
    "    In that sense, it is more limited than enclaveCheck\n",
    "    \"\"\"\n",
    "    wontEnclave = True\n",
    "    newList, newSet = dList + [proposedU], set(dList + [proposedU])\n",
    "    unitsOnBoundary = list( set(mapBDRYLIST).intersection(newSet) )\n",
    "    wontEnclave, __ = isContiguous(unitsOnBoundary,NBRLIST)  #first check - does district touch MAP boundary in multiple places? (quick FAIL)\n",
    "    if wontEnclave: #slower check below for internal enclaves\n",
    "        adjoiners = get2nbrs(newList, NBRLIST)  #2-level to protect for queen adjacency in boundary        \n",
    "        wontEnclave, __ = isContiguous(adjoiners,NBRLIST)\n",
    "        if not wontEnclave:\n",
    "            nLoops = 1 #could be that fragmented adjoining districts are underestimating true contiguity.  Widen the contig search\n",
    "            maxLoops, ADJLIST = 6, adjoiners #unlike enclaveCheck, here we just arbitrarily set a number of loops for search expansion\n",
    "            while nLoops <= maxLoops and not wontEnclave:\n",
    "                nLoops +=1\n",
    "                adjSet = set(ADJLIST)  #align nomenclature w enclaveCheck\n",
    "                for UU in ADJLIST:\n",
    "                    adjSet = adjSet.union( set(NBRLIST[UU]).difference(set(newList)) )\n",
    "                ADJLIST = list(adjSet)\n",
    "                wontEnclave, __ =   isContiguous(ADJLIST, NBRLIST)\n",
    "        \n",
    "    return wontEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "d041d328-83e0-45db-a869-e0956c23ee26",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the state postal code; e.g. OH  WA\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, enter 1 below to use wa_pl2020_vtd.dbf as this state's population data file\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "  1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "attempting to read in state unit geometries.  Stand by ...\n",
      "I read in the Census popn data. WA has 7705281 peeps and is divided into 7434 shapes.\n"
     ]
    }
   ],
   "source": [
    "STATE = str(input(\"Enter the state postal code; e.g. OH \")).upper()\n",
    "popFilename = STATE.lower()+\"_pl2020_vtd.dbf\"\n",
    "print(\"OK, enter 1 below to use\",popFilename,\"as this state's population data file\")\n",
    "enter1 = input(\" \")\n",
    "if int(enter1) != 1:\n",
    "    popFilename = input(\"OK, then enter the pop data file.  Typically a xx_pl2020_vtd.dbf\")\n",
    "print(\"attempting to read in state unit geometries.  Stand by ...\")\n",
    "tractPopFile = gpd.read_file(\"state_map_files/\"+popFilename)\n",
    "trueTractGeom = tractPopFile['geometry']\n",
    "nTracts = len(trueTractGeom)\n",
    "tractPop = tractPopFile['P0010001']\n",
    "statePop = np.sum(tractPop)\n",
    "censusGEOID20 = tractPopFile['GEOID20']\n",
    "print(\"I read in the Census popn data.\",STATE,\"has\",statePop,\"peeps and is divided into\",nTracts,\"shapes.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3bfdea9d-b0ea-497a-a556-6b488a3e333e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter the number of districts in the state.  My guess is 10 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 39 counties in WA .  I will assign them county Nos 0 - 38\n"
     ]
    }
   ],
   "source": [
    "tractGeom = trueTractGeom.copy()   #for some states, we will modify geom, so preserve original\n",
    "#tractNAME20 = tractPopFile['NAME20']\n",
    "tractPop = tractPopFile['P0010001']\n",
    "inputfileCountyNo = tractPopFile['COUNTYFP20']\n",
    "vtdGEOID20 =  tractPopFile['GEOID20'] \n",
    "nDistricts = int(round(statePop/760000,0))\n",
    "nCutDistricts = 0\n",
    "nDistricts = int(input(\"Enter the number of districts in the state.  My guess is \"+str(nDistricts)))\n",
    "tractArea = [tractGeom[t].area for t in range(nTracts)]\n",
    "trueTractCP =   [tractGeom[t].centroid for t in range(nTracts)]\n",
    "tractCP = trueTractCP.copy()  #for some states, we move secluded corners into the map, so save the true data\n",
    "tractCPx =  [tractCP[t].x for t in range(nTracts)]\n",
    "tractCPy =  [tractCP[t].y for t in range(nTracts)]\n",
    "inputCountyNumbers = list()\n",
    "for t in range(nTracts):\n",
    "    if inputfileCountyNo[t] not in inputCountyNumbers:\n",
    "        inputCountyNumbers.append(inputfileCountyNo[t])\n",
    "nCounties = len(inputCountyNumbers)\n",
    "print(\"There appear to be\",nCounties,\"counties in\",STATE,\".  I will assign them county Nos 0 -\",int(nCounties-1))\n",
    "sortedICNs = list(np.sort(inputCountyNumbers))\n",
    "countyNo = [sortedICNs.index(inputfileCountyNo[t]) for t in range(nTracts) ]\n",
    "\n",
    "isSkippedTract = [0] *nTracts  #this will house a temporary list of tracts for manipulation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "adffc7a4-a78c-477f-8ea4-7f8e5109fa2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now build the county-by-county geometries, hoping there are no islands\n",
      "Building county geom for county 0\n",
      "Building county geom for county 20\n",
      "Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop < 4.5\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "There appear to be 4 unpopulated coastal tracts.\n",
      "Lets plot them and their parent counties\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"We will now build the county-by-county geometries, hoping there are no islands\")\n",
    "skipList = list()  #a list of units we previously know to skip in the map\n",
    "isAlteredCounty = [False for c in range(nCounties)]\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "countyPop =       [0. for c in range(nCounties)]\n",
    "countyGeom =      [dummyPoly for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    if t not in skipList:\n",
    "        c = countyNo[t]\n",
    "        countyTractList[c].append(t)\n",
    "        countyPop[c] += tractPop[t]\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Building county geom for county\",c)\n",
    "    for t in countyTractList[c]:\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            countyGeom[c] = tractGeom[t]\n",
    "        else:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "origMAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    origMAP = origMAP.union(countyGeom[c])\n",
    "    if countyGeom[c] == dummyPoly:\n",
    "        print(\"WARNING! county\",c,\"is empty!\")\n",
    "    else:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "minTractPop = 4.5\n",
    "print(\"Here is your original county-based map b4 any triage; e.g eliminating coastal unpopulated tracts w pop <\",minTractPop)\n",
    "plt.show()\n",
    "if origMAP.geom_type == dummyPoly.geom_type:\n",
    "    mapExterior = origMAP.exterior\n",
    "else:\n",
    "    for i,geo in enumerate(origMAP.geoms):\n",
    "        if i == 0:\n",
    "            mapExterior = geo.exterior\n",
    "        else:\n",
    "            mapExterior = mapExterior.union(geo.exterior)\n",
    "\n",
    "for c in range(nCounties):\n",
    "    for t in countyTractList[c]:\n",
    "        if tractPop[t] < minTractPop:\n",
    "            if tractGeom[t].intersects(mapExterior):\n",
    "                isAlteredCounty[c] = True\n",
    "                skipList.append(t)\n",
    "print(\"There appear to be\",len(skipList),\"unpopulated coastal tracts.\")\n",
    "if len(skipList) > 0:\n",
    "    print(\"Lets plot them and their parent counties\")\n",
    "    for t in skipList:\n",
    "        plotPoly(tractGeom[t])\n",
    "        plotCenter(t,tractGeom[t],6)\n",
    "    plotPoly(origMAP,0.2)\n",
    "    for c in range(nCounties):\n",
    "        if isAlteredCounty[c]:\n",
    "            plotPoly(countyGeom[c])\n",
    "    plt.show()\n",
    "trueMAP = origMAP  #use these terms interchangeably"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ef152e62-23e4-4345-a67a-00ba98b1d9d5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plotPoly(tractGeom[3084])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "7a6c93c4-af08-47d5-90f7-dc0b4513aad5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Last chance to alter the skipList, otherwise the above 4 units will be axed\n",
      "here is the proposed skipList [3084, 1109, 1956, 146]\n",
      "here is the final skipList [146, 3084]\n"
     ]
    }
   ],
   "source": [
    "print(\"Last chance to alter the skipList, otherwise the above\",len(skipList),\"units will be axed\")\n",
    "print(\"here is the proposed skipList\", skipList)\n",
    "skipList = [146, 3084] #...  #alter here if needed - other two for WA are not worth cutting out\n",
    "print(\"here is the final skipList\", skipList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "2989f381-466b-4882-bf1d-cfa37a7ba8ef",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I will now preserve the original county unit lists and geoms, then rebuild as needed\n",
      "removing coastal units from countyNo 7\n",
      "removing coastal units from countyNo 11\n",
      "removing coastal units from countyNo 23\n",
      "removing coastal units from countyNo 36\n",
      "Here is the revised state county map after eliminating coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Excellent!  We have no populated islands.  SKIP the below code block.\n",
      "we will scale longitudinal distance by 0.67778\n"
     ]
    }
   ],
   "source": [
    "print(\"I will now preserve the original county unit lists and geoms, then rebuild as needed\")\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "trueCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "for c in range(nCounties):\n",
    "    trueCountyTractList[c] = countyTractList[c].copy()\n",
    "    if isAlteredCounty[c]:\n",
    "        print(\"removing coastal units from countyNo\",c)\n",
    "        countyTractList[c] = list()\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in trueCountyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                countyTractList[c].append(t)\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "        if countyGeom[c] == dummyPoly:\n",
    "            print(\"Uh oh! county\",c,\"didn't have any usable tracts\")\n",
    "MAP = countyGeom[0]\n",
    "for c in range(nCounties):\n",
    "    plotPoly(countyGeom[c])\n",
    "    plotCenter(c,countyGeom[c])\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "origPopMAP = MAP   #origPopMAP is the map after eliminating coastal unpopulated tracts, with original islands\n",
    "print(\"Here is the revised state county map after eliminating coastal tracts\")\n",
    "plt.show()\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    print(\"Excellent!  We have no populated islands.  SKIP the below code block.\")\n",
    "else:\n",
    "    print(\"We appear to have some populated islands.  Separate out the main state geom in next block.\")\n",
    "LAT = MAP.centroid.y\n",
    "xScale = (1. - 1.089* abs(LAT/90)**1.9)\n",
    "print(\"we will scale longitudinal distance by\",r5(xScale))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "8a562a21-4107-4a3c-a320-90442a473387",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\n",
      "unit 3739 is a true island.  We will move it to adjoin the mainland in same county.\n",
      "unit 3759 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 3068 has island pieces.  We will reduce the tract to its main state component\n",
      "unit 3097 has island pieces.  We will reduce the tract to its main state component\n"
     ]
    },
    {
     "data": {
      "image/png": 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CT7vvgJ8mHfqW7+D2PlOv+b5+Pv7IKW+P0oJd8naokW08mIlxb/+CIf/ZgZ+OnXd1OURXYKiREefUELkno8WKFzcdw18/SXTYP+LVXbj9zT2oMF+6VFvp67jKsLXYhPKUXGha+UIbbQAA/HL0WwR6nUfbmI/Qr/PQWtWg9OmPYN1RVJgqGtgb1/jqwDn8Y/1B9GsXhBta+ePhD37Ds18f5i9y5FYaFGqWLl0KSZIwe/Zs+74VK1ZgyJAhMBgMkCQJBQUF122ndevWkCTpim3mzJn2YyoqKjBz5kwEBQXB19cX48ePx/nz7vWbAufUELmnw+eK8M6ONAxo3wI7/z4Ep5eOwbdPDAAApJwrRMwzm7Do26Ow2QRw2WmpirQCWC6UwzsuGApvtX3/hdzdyC8PQdfo7rV6f5vNBqu1DBqlCcfOHpK3c43g8LlCzP4sGT2iAvD+5JvwwZSb8PzYrli9Px3TP05ksCG3Ue9Qk5CQgOXLlyMuLs5hf1lZGeLj47FgwYI6tZWVlWXftmzZAgC455577MfMmTMH33zzDdatW4edO3ciMzMTd911V33LdwrOqSFyTxdLK+eAPHNbF0QH+QAAYlv64dSS0VgwOgYA8O6eU3j80yQAgLXUjLKDF6AO9XaYKGyxWlBQchG+OIByRc9avXe5qRwf//AIwpWfIdM8Ht2ia/c6dxLup4NWpYBNCGhVCkiShIf6tsa7k3phe2oO1vya7uoSiQDU85LukpISTJw4EStXrsSiRYscnqsetdmxY0et2wsODnZ4vHTpUrRr1w6DBw8GABQWFuK9997DmjVrcOuttwIAVq1ahc6dO2Pfvn3o06dPfbohOyXn1BC5pQpL5eklL43jPZokScL0Qe0wvkcrjP3fz4hr5Q9JrYQ5qxRecY73hvrl923I+OM5tPDKhL8O8DUMuO77Zl3MxE8/T0aY9gzKvBfgwevMvXFXQb5azB7WES9uOoYKs83+5zikUwju7RmJV7Ycxx03RMDfu2E3CCVqqHqN1MycORNjxozBsGHD5K4HJpMJn3zyCR5++GH7D5TExESYzWaH94uJiUFUVBT27t1bYztGoxFFRUUOm7OpOKeGyC0pqn6WVFzlNgdBvlrsmXcrZgxuB21bP+ja+9t//mRdzMSH301BedZ0AJf+/84r+P2a73nwjwTs23cHfFU5CIx+97qTid2dRqWATq24Ihg+ObIjzBYbXt92wkWVEV1S51Czdu1aJCUlYcmSJc6oB1999RUKCgowefJk+77s7GxoNBr4+/s7HBsaGors7Owa21myZAn8/PzsW2RkpFPqvZySc2qI3FLvNoFQSMBPx3Jq/RqL1YIvdr2GxF+HI0iVgCLNXNwdvxP55SEAAD/beuQV59X42k2/rUVm2oOosPqie88NuKnjQFn64UoXS00I8tFesT9Er8PMW9vj471ncDKnxAWVEV1Sp1CTkZGBWbNmYfXq1dDpdE4p6L333sOoUaMQERHRoHbmz5+PwsJC+5aRkSFThVen5pwaIrcU5KtF//Yt8O+NR3DHW3vw4qZjV12nBqi8KeVnP4yBv+VN5Fn64ebe2zBuwEwolUqYtJUjxlqlEZv2verwOpvNhjVbn4O66GnkGHvg9qHfIiq4jVP71lhyS4wI8FHX+NzD/dsg3F+Hhd8ccbiSjKix1SnUJCYmIicnBz169IBKpYJKpcLOnTvxxhtvQKVSwWpt2D/mM2fOYOvWrXjkkUcc9oeFhcFkMl1xJdX58+cRFhZWY1tarRYGg8FhczbOqSFyX2/d3wOzhnZAiF6Hd3akYdF3vyOn6MrLq39IWI3fU8bCS5kHr/AVmDRmJUL8Q+3P9+h4NwDgojEYAeJL5BZdGv35ZNPjCFV8jPO2B/Dg6E/g6+Xr/I41kiOZRegUWvPPUZ1aiadHd8HuE7no+uxmfHXgXCNXR1SpTqFm6NChSElJQXJysn3r1asXJk6ciOTkZCiVyus3cg2rVq1CSEgIxowZ47C/Z8+eUKvV2LZtm31famoq0tPT0bdv3wa9p5w4p4bIffl5qTHzlvZ4d1Iv/GtMZ7y35xRu+c8OvPL6W4iLi4PBYICv3hdPTpqKn34JxpCBP6Jf56FXLCfxrznPIy0zCIG6HGhVRmza919s27YN3XvdiBl3L8P4u3NwcEsFbLZLv+A899xzNS5b4ePj48I/kdo7mVOMw5mF6Ncu6KrHxMeGYcNj/dCvXRCe+eowvk/JuuZoGJEz1CnU6PV6xMbGOmw+Pj4ICgpCbGwsgMr5L8nJyTh58iQA2ENQfn6+vZ2hQ4firbfecmjbZrNh1apVmDRpElQqx4uy/Pz8MHXqVMydOxfbt29HYmIipkyZgr59+7rNlU9A5UgN59QQub9HBrbFxN5RMFsFIiNbYenSpdi3fy+e/09XxHRrgTcX70XWmSwANS8n8Z8lmfa2ys6sxujRo9EmRsJ/3+yMzz//Ahs3bsQ///lP+zFPPfWUw7IVWVlZ6NKli8OyFbVVXGHGyZwrV0J2pre3pyFUr8NtN4Rf87juUQF4cXwcWrfwwWOrk/BXrmFDjUz2u3QvW7YMCxcutD8eNGgQgMpRmOrJv2lpacjNzXV43datW5Geno6HH364xnZfffVVKBQKjB8/HkajESNHjsTbb78td/kNolYqOFJD1ET8kpaHEV1Dcc9dPQAAa7cvRrf2eRh4y6fYsWUs9u3bh1atWl11OYkjGYvRMeID7Niej8hoFR6dXIIC9QyMGDwCL730Eu699148++yz0Ov18PX1ha/vpVNRBw8exNGjR7Fs2bJa1Xqx1ITb39qDrMIK+y9Op5eOQUZ+Gc4VlKNP26uPoDRURn4Zvj6YiadHd4ZWdf3R+Ah/L3zzxAD8eCQbj65Owss/pmL+qM5Oq4/ocg0ONX9ej+a5557Dc889d83XnD59+op9I0aMuOZQpU6nw//+9z/873//q0eVjYNzaoiahgvFRpzKLYXRbIXRYsWZ3PPwt3yITPNtyEs6h9LSUvTt2/eay0lY83VoP/xrFFfcAi9tBSxCiV4xY2Gz2eDl5YWKigokJiZiyJAhV7z/u+++i44dO2LgwNpdFXWhxIizF8tx+w0ROJ5djNTzxRBC4KXNqfjmYCZuiwvH/93ZDX7eNU/kbYhlO9Pg76XGhJuj6vS6EV3D8I+RnbB00zEM6RiCvtc4dUUkF977SUYqnn4iahKC9VrMHxWDnGIjRr++G08vX4Fxd5zA1DvewowZM7BhwwZ06dLlustJtI+IwRMzPsTRo0bs2XkRJw6NwP8+m43nn38eAJCVlXXFe1dUVGD16tWYOvXKdWtsNoEykwW7jl/Ah7+cRnah40Tmyf2iMXVA5dVUQgDe6sqRkx2pFzDkP9ux/4+aLzGvr8PnCrHut7N4eECbK9anqY1pA9vi5taBeOLTA/jtdP71X0DUQAw1MuINLYmajr8Obofv/jYQfl5qaPwqsGxFJPbu3Y1HH30UkyZNwtGjR2vVzogRI/Dyy//Ba68VY1T8Kfzj4bfQsdMRAMDug6twLt9xOYkNGzaguLgYkyZNurTvwFncsPBHtF3wPbr8ezMeev9XPLvxCPos2YZNh7Mw57NkAIBBp0b1Isc2IaBQAHGt/PDTk4PhrVHh64OZkEN+qQmPr0nCbW/uQbBei4f6RterHYVCwv8m9kDrIG889P6vSDlbKEt9RFfDUCMjlZKL7xE1JZ3C9Fg/ox+eHOqF1tFRuOmmvliyZAluuOEGvP7667VeTmLu3LkoKS7F6dPpeOOTe9CvnzcAoGvUERxOHIbVW/+FbT+1w7af2mHpK4vQq38c9p78EmdzK++ZdOR0AoK1xzCwQwssHtcNKx/qZR+RmfFJEtIulOC1v9yIDqF6+0rHlb9ASRACCDHoEKzXynL6Oyn9Isa8sRs/n8zFy3fH4aenBkOvq/9prRa+Wnw8tTc6huox5YMEZOSXNbhGoqthqJGRSiHBzDk1RE2KQiHBWpEGqzUPNpsZQOXVmEajsU7LSUiShMjISEwd9ykOHR2PyMhI3DMhCdnGHghTfAoAyMoyIyXxKG4bfg5643+QlHgbPvz2QfT1ewqzenyCj6f2xv29ozC8Syieua0LAn0q76U0Lz4Gd3ZvCaDy5pIAMPr13dh+LAei6tYNaqUEi7Vhv1SdL6rAA+/uR4S/F76fNRD39Iqs1eTg6/HSKPHepF7w1Sox6f1fkVdibHCbRDWR/eqn5oyXdBM1PfPnz0enGBPU6hIkJPyAr77aix07dmDz5s0Oy0kEBgbCYDDgiSeeuGI5iZdffhnx8fFQKBT48ssv8fbrb+Pzzz9HSEAoHhy9Gln551BSUYiPP1+CgKDvMf3xFPz466tQmn+BWlTe6sWg87qito2P90dmQQV6RQfY9/Vv3wLLH+yJrw6cg1qpwMAOLQAAKoUC5gb+/Hlt6wkoJAmrptwEQwNGZ2oS5KvFhw/fjPHv7MWdb/+Mdx+6CZ3C9LK+BxFDjYy4+B5R05OTk4NPPvkJ589fgL//I4iLi8PmzZsxfPhwALVbTuKHH37A//3f/8FoNOKGG27A119/jVGjRgEAFAoFWraIhM3WEtu+24UZ0x9DsF8wJg5fbH/9sWPPIufCz1fU1irAG60CvK/YP7JrGEZ2dVxNXaWUYLU5jhQLIVBqsuK30/no3Sboism+5wrKcTKnBPmlRmQWVODTX9MxLz5G9kBTLTrIB1/N7IdHPvwN9y7fi3ce6IF+7Vo45b2oeZJEM1nysaioCH5+figsLHTaLRMWbEjB4XOF2Pj4AKe0T0TOcSz1eZw//yMGD9rjovd/Djk5uzFo4LbrH3wV0z/6DT8dy0HbYB+0D/GFVqXET8dyUFheeUrNV6vC+B4tMa5HK5zMKcHRzCJ8+ms6yqvu1eSlViIy0AsrH+qF6CDnrnScW2LE42uSkJRegPcn3YQBHRhs6Orq8vnNkRoZVc6paRYZkcij5OX9Bj+/7i57fwlSg9t45rYuGNihBU7klODE+RJYbSbodSpEBnrhjhsikF1oxMf7TuPDvWcAANFB3hjRNRSPDmmH6ECfel2yXV8tqk5F/fXjRDzyUQJWTb6Z69iQLBhqZFQ5p4YThYmaEpvNiIqK44iKHO/CKiQADfuFKDLQGw/2bX3NY6YObIO8EiPaBfvCR+vaH/9alRLLHuiJaR/9hoc/SMCHD9+Mm9sEurQmavp49ZOMOKeGqOkpKj4MwOzSkZrKxWec/7Ojpb8X4lr5uzzQVNOplVjxYC/cGOmPhz9IwOFzXMeGGoahRkZcp4ao6cnN3QGFwhe+vl1cVoMkSY2RadySl0aJlZN6oV2wDya9/ytO55a6uiRqwhhqZKRSNHydCCJqXNnZPyIwcDAUCleOXkj29WaaI1+tCqum3Aw/LzWmfJCAgjKTq0uiJoqhRkaVt0ngnBqipsJsLoDRmIaQ4MEurUOSYU5NUxfoo8GqKTehoMyE6R8nwmixurokaoIYamTEG1oSNS0FBb8BEPD3v9nVpRAq17F5d1IvJGcU4O/rDqGZrDhCMmKokZFKqeBEYaImoqIiE4dS/goJauh0rVxbjNTwS7o9Rc/oQLx6743YeDATr2457upyqIlxjynwHoJzaoiajrz83QCALl1ftt8k0nV4+ulyY+LCkZ4fgxc3HUN0kA/G93Rx6KQmg6FGRpxTQ9R05OcnQKvtgLDQ211dShWGmsvNGNwWp3NL8c8vDyHC3wslRgtubh0IP2/n3MKBPANDjYw4p4aoafjj1BvIydmAFkGjXV0KAE4UrokkSVg0LhZnC8owYeU+3Je6GcYLhzFyxxaoZbhzOHkmhhoZKRWcU0Pk7mw2C06deh0A0LHjvHq3I4SAEGbYbEZYreWw2SpgtVZc9rUcVlsFbFYjrLZy2Byeq4DFWg6zuQzCZkZJ6WG5uudR1EoF3p7YEx99uh3DvtoCANi0YCluf+lpF1dG7oqhRkYqpQQhAKtNQKlw9Tl6IqrJxYt7AQAd2j8NL6/KuRoFBb+hpOQYLJZiWCzFMJkKKzdzISyWElitZbDZjBDCBCEqqr4aAdT+dLMkaao2XdVXLRQKLRQKDSTJD+Hh8c7obpOnhwXDPnsZaBuNNF0LtN/4CbaEh2H4nKmuLo3cEEONjFRVQcZis0Gp4PAokTsyGOIgSVoUF6cCACyWEiQlPQABKxQKHygkHyiUPlCpDFCrDPDxiYJa5QuV2htKhQ5KpRcUCh0USh2U9q9eUCi0UCp1UCi8qr5qLx2r0EKSeLFpfZxbvAgi+zzabfgKHSKjsGXknWix6g2kjxyCqC7tXF0euRmGGhlVj85wXg2R+1Kr/dC27Rykpb0ItSYAKpUPBMzo2+cneHtHu7o8ukzRli0oWfclwhc+B23btgCA3qtX4cjttyF12iPQfboGIVHhLq6S3Al/dZCRSlH5x8l5NUTuLTpqKiIjp+Ps2U9w6tRr0GqjGWjcjPl8Ds4+PR+aWwfB/9577fsDw4MR9Or/YCgtwMH770f2qbMurJLcDUONjFTKqtNPXKuGyK1JkgIdO/wDQwYnY8CA/ejb51tXl0SXEUIg/d8LAJUK0f+39Ip1hLoM7AXDW+/Cu6wEx++5GycTOdGaKjHUyOjyOTVE5P4UChW0mhZQKr1dXQpdpvTnX2Da+TNaPfc8VAEBNR7TeUBPRK35DBa1GrlTH8LvexIbuUpyRww1MuKcGiKihsv79ivYosKhHz78msdFxrRF3Lr1KNL7o+SxqUjZtreRKiR3xVAjI/ucGp5+IiKqFyEESnbsRNCIUbW6fUWLVqG46Yt1yAsMgWn2DCR9t8P5RZLbYqiRkX1ODUdqiIjqxVZYCEVBMbxju9X6NQEhQej35Tpkh0ZCmvcEfv1isxMrJHfGUCMjlf30E+fUEBHVi310pm4LmBoC/TDki7U4G9ke2meexOalb8PGn8XNDkONjJQKjtQQETWIsmrhUpu1zi/18fPF8C/W4I+uPRD1wZv4esIjMFUYZS6Q3BlDjYw4p4aIqGGkqp+jwlq/URadtxfGrfsIWX97Gu1S9mPzuPtwMTtPzhLJjTHUyIhzaoiIGqgBIzWXu/WxB1C+8L8IO3cKKbffhnPHTze8NnJ7vE2CjDinhojoSjaTCWW/JkAYKyDM5srNZL70vX2fCcJUebqoviM1l+t9TzzOdGmPjIfux5n77sb5F/6DHmOGNLhdcl8MNTKyz6nh6SciIruijRuR9a9nrtgvFApArYJQKQG1ClCpINRKSG1aQduhgyzvHd21PbTrvkDStL8i4h+P44D0P3QfPViWtsn9MNTIqHpODRffIyK6xGY0QigU6PjzHkhqdeWmUkGqPtXkZGFtIzHk6/XYPvZuhPxzFo4HfYiOvW9olPemxsU5NTKqnlNjZqghIrKrnvyrCgiA0tcXCq220QJNNW9fb/T79GMU+vqhZOqD+CP5WKO+PzUOhhoZcU4NEVENJAmA63/ZCwgJQuwnn6BCrUX69IeRk57l6pJIZgw1MuKcGiKimkjukGkAVJ6KavnxGuhMFUj5y31I/Ha7q0siGTHUyIhzaoiIaiBJkIT7/FyMju0A9Qv/ASQblPP+huTNe1xdEsmEoUZGnFNDRFSDut3xoFH0vP1W9N28CVkhLWGc9zekHfjd1SWRDBoUapYuXQpJkjB79mz7vhUrVmDIkCEwGAyQJAkFBQW1auvcuXN44IEHEBQUBC8vL3Tr1g2//fab/fnJkydDkiSHLT4+viHly07JOTVERFewrxLsRqM1AOCt98HNn3yEMp03sh6ZhJOJR1xdEjVQvUNNQkICli9fjri4OIf9ZWVliI+Px4IFC2rd1sWLF9G/f3+o1Wr88MMPOHr0KP773/8iICDA4bj4+HhkZWXZt08//bS+5TuFinNqiIiuVH2TSjf8hS+oZQg6fbwGJo0WuVMfwu97El1dEjVAvdapKSkpwcSJE7Fy5UosWrTI4bnqUZsdO3bUur0XX3wRkZGRWLVqlX1fmzZtrjhOq9UiLCysPiU3iksjNQw1RESXVIUaNxupqRbRIQqadetx4C/3we+RB7Ch50Dc8eE7UKoa97Jzarh6jdTMnDkTY8aMwbBhw2QpYuPGjejVqxfuuecehISEoHv37li5cuUVx+3YsQMhISHo1KkTHn30UeTlXf0mZUajEUVFRQ6bs0mSBJVC4pwaIqLLSe4dagCgRatQhL2wFAAQk7gb+9d97+KKqD7qHGrWrl2LpKQkLFmyRLYi/vjjD7zzzjvo0KEDNm/ejEcffRR/+9vf8OGHH9qPiY+Px0cffYRt27bhxRdfxM6dOzFq1ChYrTXf9GzJkiXw8/Ozb5GRkbLVey1KhQSrDPcsISLyGPUINe+88w7i4uJgMBhgMBjQt29f/PDDD/bnKyoqMHPmTAQFBcHX1xfjx4/H+fPnr2jngw8+QFxcHHQ6HUJCQjBz5kyH5zdv3ow+ffpAr9fj1r/chqe7dEaCrx/yPnq/fn0ll6pTqMnIyMCsWbOwevVq6HQ62Yqw2Wzo0aMHFi9ejO7du2P69OmYNm0ali1bZj/mvvvuwx133IFu3brhzjvvxLfffouEhISrnuaaP38+CgsL7VtGRoZs9V6LSiHxLt1ERJeRqk7N1+UnY6tWrbB06VIkJibit99+w6233oqxY8fiyJHKybxz5szBN998g3Xr1mHnzp3IzMzEXXfd5dDGK6+8gqeffhr//Oc/ceTIEWzduhUjR460P3/q1CmMHTsWt956K5KTk7F582bk5eXhhZzzaH/qGL6a/iSslobdLZwamaiDDRs2CABCqVTaNwBCkiShVCqFxWKxH7t9+3YBQFy8ePG67UZFRYmpU6c67Hv77bdFRETENV/XokULsWzZslrVXlhYKACIwsLCWh1fX92e3SSW7Tjp1PcgImpKCr7+WhztFCOsFRUNaicgIEC8++67oqCgQKjVarFu3Tr7c7///rsAIPbu3SuEECI/P194eXmJrVu3XrW9devWCZVKJaxWq33fxo0bhSRJ4ut//0ekxHQWX42dIEqLShpUNzVMXT6/6zRSM3ToUKSkpCA5Odm+9erVCxMnTkRycjKU9byXR//+/ZGamuqw7/jx44iOjr7qa86ePYu8vDyEh4fX6z2dRa1UcKSGiOhyDbz6yWq1Yu3atSgtLUXfvn2RmJgIs9nsMK8zJiYGUVFR2Lt3LwBgy5YtsNlsOHfuHDp37oxWrVrh3nvvdRi179mzJxQKBVatWgWr1YrCwkJ8/PHHGDZsGO5Y+CQuzluE6BOHsPOOu5B79spTW+R+6hRq9Ho9YmNjHTYfHx8EBQUhNjYWAJCdnY3k5GScPHkSAOwhKD8/397O0KFD8dZbb9kfz5kzB/v27cPixYtx8uRJrFmzBitWrLCf+ywpKcHf//537Nu3D6dPn8a2bdswduxYtG/f3mEo0R0oFRIv6SYiclC/icIpKSnw9fWFVqvFjBkzsGHDBnTp0gXZ2dnQaDTw9/d3OD40NBTZ2dkAKudq2mw2LF68GK+99hrWr1+P/Px8DB8+HCaTCUDlVbY//vgjFixYAK1WC39/f5w9exaff/45AGDg5LsgvbYcARdzcfiucbwJZhMg+4rCy5YtQ/fu3TFt2jQAwKBBg9C9e3ds3LjRfkxaWhpyc3Ptj2+66SZs2LABn376KWJjY/HCCy/gtddew8SJEwEASqUShw4dwh133IGOHTti6tSp6NmzJ3bv3g2tVit3FxpEpZC4+B4R0eXqefVTp06dkJycjP379+PRRx/FpEmTcPTo0Vq91mazwWw244033sDIkSPRp08ffPrppzhx4gS2b6+831N2djamTZuGSZMmISEhATt37oRGo8Hdd99tXyjwhuH9EfbRpxCShAuT78eBH3bVqQ/UuOq1Ts3l/jxR97nnnsNzzz13zdecPn36in233XYbbrvtthqP9/LywubNm+tZYeNSKjlRmIjocvaJwnX80ajRaNC+fXsAlaeKEhIS8Prrr+Mvf/kLTCYTCgoKHEZrzp8/b1/LrHpqQpcuXezPBwcHo0WLFkhPTwcA/O9//4Ofnx9eeukl+zGffPIJIiMjsX//fvTp0wcA0DquI/RfbsD+Bych4qnHsOv8QgyaPL5unaFGwXs/yUyt4JwaIiIH1SM1DbxVt81mg9FoRM+ePaFWq7Ft2zb7c6mpqUhPT0ffvn0BVM7VrN5fLT8/H7m5ufb5mmVlZVAoHD8Gq+eG2v404h7UMgRDNn6BzLDWCHzxGRzYvLtBfSHnYKiRGefUEBH9ST0mCs+fPx+7du3C6dOnkZKSgvnz52PHjh2YOHEi/Pz8MHXqVMydOxfbt29HYmIipkyZgr59+9pHVzp27IixY8di1qxZ+OWXX3D48GFMmjQJMTExuOWWWwAAY8aMQUJCAp5//nmcOHECSUlJmDJlCqKjo9G9e/cravL29UbfTz9Eeng08ORj2P3Blw3/syFZMdTITMk5NUREf1L3OTU5OTl46KGH0KlTJwwdOhQJCQnYvHkzhg8fDgB49dVXcdttt2H8+PEYNGgQwsLC8OWXjiHjo48+Qu/evTFmzBgMHjwYarUamzZtglqtBgDceuutWLNmDb766it0794d8fHx0Gq12LRpE7y8vGqsKyAkCIM3rEN6m84IXPo0vnvmZd4I041IQrjxutUyKioqgp+fHwoLC2EwGJz2Pre9uRtxrfyxeFw3p70HEVFTUrT5R5ybNQsd9+2F8k9XLDVVVosV3/ztaXT66WsAQMmLb+KmsfLcOogc1eXzmyM1MlMpFLDy9BMR0SX2icKe87NRqVLizreX4o97pgIATAvnI+HrrVyB2MUYamTG2yQQETmS7BOFPc+YF55CwPc/otRHD995T2DbLcO5no0LMdTIjHNqiIj+pAncpbshwtpGYsiWH1D0wqvQmIzIf/Av2PPRBleX1Swx1MhMpZRg5kgNEdElDbxNQlOg0WnR+5543PDNRpxrHYOgxQvw1d0P4UTCYVeX1qww1MiMc2qIiP7Ms0dqLhcQEoTbNqzBmUlPIOh0Kooenohd76+/Yt0bcg6GGplxTg0R0Z944ETha1GqlIif/xhu+PFHnIvqgOCXnsF3Y+7CiV8Pubo0j8dQIzPOqSEicmSfKNw8Mo2dIdAPt33zOS7MewGG3PMwPfQXfDPyDpw+dNzVpXkshhqZqXjvJyIiRzLdJqEpUigUGDTlbty0fRsypz0Jw8ULyHnwL9i/bpOrS/NIDDUyUykUvE0CEdHlPPzqp9rw9vXG8CcfQdzGb5ETFgXDM3OwYcIjXI1YZgw1MlMpJFg5UkNEdIlU9VHDU/MICAvCiK8/x6m/TENIajIqHrgHX939EI79kuzq0jwCQ43MlAoJFv6P22wsXboUkiRh9uzZAIDTp09DkqQat3Xr1rm2WCJXsZ994i98QOXl36MXzkX3XbuQ8cBjCDp9DOLhCfj+1pH45qkXOOemARhqZMY5Nc1HQkICli9fjri4OPu+yMhIZGVlOWwLFy6Er68vRo0a5cJqiVyneqIwM40jb19vjHr6cdy8excyps6GReeNVps+R+m9Y7FhwiM4d/y0q0tschhqZMY5Nc1DSUkJJk6ciJUrVyIgIMC+X6lUIiwszGHbsGED7r33Xvj6+rqwYiIXasYThWtD66XDiL//FXd8vwEdf96L9AceQ/jvSbgw7jZ8/cQCXMzOc3WJTQZDjcyUnFPTLMycORNjxozBsGHXvitvYmIikpOTMXXq1EaqjMgNcaJwrfn4+WLUv55A563bcObWOxD900Zk3DoIG+6dwpGbWmCokZmKc2o83tq1a5GUlIQlS5Zc99j33nsPnTt3Rr9+/RqhMiL3I4S4FGb4s7HW/FoEYOybixH27SZk3DUZYScOIeeu2/HNPxYhP+uCq8tzWypXF+BplJxT49EyMjIwa9YsbNmyBTqd7prHlpeXY82aNXjmmWcaqToi93H8ofth+S0Z0mU/DyWVe3zk2Gw2WExmVJRVwFhaBmNZBUzlRlhNJlgsFgirDQqlCkqVApJSCaVKBYVKCWXVVvlc9X4FlColgMrsJoSAQiFB66WDUq2CQnH1sYPqOkwVRpgrqr4ajbAYzTAbTbAYjbAYTWg1uB8qbuyGrGVvo/3G1Ti/cTUOGVrA5+lncdPYa48WNzfu8S/Mg6gUEufUeLDExETk5OSgR48e9n1WqxW7du3CW2+9BaPRCKWy8gfc+vXrUVZWhoceeshV5RK5jDntFAyDh0A/9FZAqYLS3w+qiIg6t2Msr0BxXiFKC4pQerEQ5QVFMJaUwlJuhKm4GJbiElhKSmArKYWttBiirBhSeQmUFaVQG8uhNhmhsligtlqgtlihtlqhtlqueZpCQuXsH0t1X+rR/2rVY1PCPq/oEmUtTsdVf0hrABgu2x9alAvMewLWMYftoYoYamSnUig4p8aDDR06FCkpKQ77pkyZgpiYGMybN88eaIDKU0933HEHgoODG7tMokYjhEC52YriCguKK8woLK/8GppXgJLt23E0IgY2kwk2owm2jTshTCYIkxnCbATMRgiLGTCboDCWQVVRBrWxHFpTBbQmE7xMZmhsVvt7SQC8q7ZqZoUC5WoNKjQamDQamLResOq8YfH1hzW4FYzeekg6HSStFgqNBgqtFgqtDkqdFkqtBkqdFmovLyg16spNrYakkGCzWGGzVm7i8u+tVtgsNvv31VtlgVLlZrPBajLDZq6KQ/aPBBuE/QycgKRUQqHRVL23pnLTVj5WaTVQVX2vUCgghIDNagOEgKga4fGPCGWg+ROGGpnxhpaeTa/XIzY21mGfj48PgoKCHPafPHkSu3btwvfff9/YJRJBCIH8UhOyiyqQU2REsdECk8VWtVlhstrsj41V2+X7TH96bLTaYDQ7vq76e6PFVuMvcj9UfQ1duwIWhRIWpQIWpQoWpRJWpQJWpQo2pQpWpQpCpYJV6w1TUBjMXnpU+Oih8PWFUu8LtV4Ptd4XOj89vPwN8A4wQK3VwtvPF/ogf+i8vRr3D5fcGkONzCrn1HAyXHP3/vvvo1WrVhgxYoSrSyE3Vj3KUWayosxoRanJUvn9ZV9LjVaUmyqfq/5aZqx8zaV9l73GaEGZ2VrjhUaSBGiUCmhUCmhVCvv39k2pgFaltD/281ZDq3R8vvK1l47RqhTQ61TQ61Qw6NTQ69TQ61TwffYgvNRKqDmSQI2IoUZmKoUEK+fUNCs7duy4Yt/ixYuxePHixi+mmRFCwGwVKCg3odxUeQrAbBUwW22wWAVMVhssVlvlPpsNZosNFlvl82arqHrOduk1NgGTxQaL7dK+6rYuHWODySKqjrE5vJ/9eJuA2WKD2SZgswnYhIAAYLNVfhUCsNoEKiw1h4/LKSTAR6OCt1YJb40K3hpl1aaCr1aFEL0OPjU8F+SrQahBh1CDFnqdGhqlAmqldOmO2UQeiKFGBkaLFbuP56LCYsWx7GKefqImTwiBnGIjUrOLkV1YAeMVpyasDqchjFXfV3+4i6o2qj/AxWXtwr5PoPpqX1F1hM0GmG1XBoTLA4qlOqBYhSzz19RKCSpF5Qe+WqmAWqmASilBU/W18rECmqrjqp/TqhTw1aqqXiNVHaOASiFBrVJArajcp1RIkCRAIUmQUPW16rHXZSHER6OEt9YxmHhrlNCqFAwiRLXEUCOD7cdyMOOTJPvj1kHe1ziayL2dL6rAX5bvxem8Mvs+lUKyn25QKxX2D/U/n5ao/oCXIEFSVH6ISxIqH1d9Llc/rvqv8t5YVfsVknRFKLAHDIVj2FApK49RKxXw0apg0KkACZUhRHEpoPw5rFy+T6XgyAWRJ2GokYHRUjmH5tenh8JXq4KW55CpibJYbXhizQGUm61Y9kBPxITp0SrACyol1+kkIvfHUCMjvVYNLw0DDTVdL/+YisT0i1g7vQ9uah3o6nKIiOqEv34REQBgy9HzWL7zD/wzPoaBhoiaJIYaIkJ6Xhme/DwZI7qE4pGBbVxdDhFRvTDUEDVzFWYrHluTCH9vDV6+5wZOnCWiJotzamTEzwJqihZ//zuOny/Bl4/2g5+X2tXlEBHVG0dqiJqx/FIT1uxPx9zhHRHb0s/V5RARNQhDDVEz9n1KFgSAu3u2cnUpREQNxlAjg1rcPZ7ILW1MzsSA9i3Qwlfr6lKIiBqMoYaomTp7sQy/ns7H2BsjXF0KEZEsGGqImqlvDmZBp1ZgRNcwV5dCRCQLhhqiZiinuALrEzMwrHMofLW8CJKIPANDDVEz8+ORbAx8cTtyio14eAAX2iMiz9GgULN06VJIkoTZs2fb961YsQJDhgyBwWCAJEkoKCioVVvnzp3DAw88gKCgIHh5eaFbt2747bff7M8LIfDvf/8b4eHh8PLywrBhw3DixImGlC8bAc4UpqahzGTBv78+gj5tg7Bn3q3oERXg6pKIiGRT71CTkJCA5cuXIy4uzmF/WVkZ4uPjsWDBglq3dfHiRfTv3x9qtRo//PADjh49iv/+978ICLj0A/ell17CG2+8gWXLlmH//v3w8fHByJEjUVFRUd8uEDU77+xIQ36ZCYvujOVCe0Tkcep1Mr2kpAQTJ07EypUrsWjRIofnqkdtduzYUev2XnzxRURGRmLVqlX2fW3aXBoWF0Lgtddew7/+9S+MHTsWAPDRRx8hNDQUX331Fe677776dEN2XFGY3FlGfhmW7/oD0we2RWSgt6vLISKSXb1GambOnIkxY8Zg2LBhshSxceNG9OrVC/fccw9CQkLQvXt3rFy50v78qVOnkJ2d7fB+fn5+6N27N/bu3Vtjm0ajEUVFRQ4bUXO25td0+GiUeOyWdq4uhYjIKeocatauXYukpCQsWbJEtiL++OMPvPPOO+jQoQM2b96MRx99FH/729/w4YcfAgCys7MBAKGhoQ6vCw0NtT/3Z0uWLIGfn599i4yMlK1eoqbol7Q8DOwQDG8Nr3YiIs9Up1CTkZGBWbNmYfXq1dDpdLIVYbPZ0KNHDyxevBjdu3fH9OnTMW3aNCxbtqzebc6fPx+FhYX2LSMjQ7Z6/4wrCpO7K6owI+VsAfq2C3J1KURETlOnUJOYmIicnBz06NEDKpUKKpUKO3fuxBtvvAGVSgWr1VqvIsLDw9GlSxeHfZ07d0Z6ejoAICyscnGw8+fPOxxz/vx5+3N/ptVqYTAYHDZnk8BJNeSeEk7lwyaAvm0ZaojIc9Up1AwdOhQpKSlITk62b7169cLEiRORnJwMpVJZryL69++P1NRUh33Hjx9HdHQ0gMpJw2FhYdi2bZv9+aKiIuzfvx99+/at13sSNSd70/IQ4adDdBAnCBOR56rTyXW9Xo/Y2FiHfT4+PggKCrLvz87ORnZ2Nk6ePAkASElJgV6vR1RUFAIDAwFUhqNx48bh8ccfBwDMmTMH/fr1w+LFi3Hvvffi119/xYoVK7BixQoAsK+Fs2jRInTo0AFt2rTBM888g4iICNx5550N+gMgag5+SctDn3ZBkHiJHhF5MNlXFF62bBm6d++OadOmAQAGDRqE7t27Y+PGjfZj0tLSkJuba3980003YcOGDfj0008RGxuLF154Aa+99homTpxoP+Yf//gHnnjiCUyfPh033XQTSkpKsGnTJlnn9tQX59SQOzuTV4rfs4t46omIPJ4kRPP4SC4qKoKfnx8KCwtln1/zReJZPLnuII4vGgWNineeIPdxsdSEu975BUIIfP34AC64R0RNTl0+v3ltp4w4sk/uZn3iWWQWlOPHOYMYaIjI43FYgciD/Z5VhM7hBkQH+bi6FCIip2OoIfJgv2cXIyZM7+oyiIgaBUONDJrFpCRqcsxWG9JyShhqiKjZYKgh8kBmqw2Lvj0Kk9WGuEh/V5dDRNQoOFFYRpwnTO4gp7gCM1cn4UB6AZ4f2xU9ogJcXRIRUaNgqCHyIEnpFzHj40QAwGd/7YOe0YEuroiIqPEw1BB5CKPFihkfJ6JlgBeWP9gTIXrXL0xJRNSYGGpk0EzWLyQ39/WBTOQUG7FmWh8GGiJqljhRWEa8rw65is0msGL3HxjWORTtQ3xdXQ4RkUsw1BB5gO8PZ+FkTgn+Oritq0shInIZhhqiJq6owoznvzmKYZ1DcVNrTgwmouaLoYaoifvv5lSUGC14fmxXV5dCRORSDDUy4DRhcpWTOcX4aN8ZzB3eERH+Xq4uh4jIpRhqZMRpwtTY3vzpJMINOjzYN9rVpRARuRxDDVETlZFfhm8OZuLRIe2gVSldXQ4Rkcsx1BA1UYfPFcImgNHdwl1dChGRW2CokQMn1ZALpOeXwVerQqCPxtWlEBG5BYYaoiYqPb8MkYHeXPSRiKgKQ42M+NlCjSnjYjmiAnnFExFRNYYaoiaouMKMo5lFiA7ycXUpRERug6GGqAl69usjqDBbMbF3lKtLISJyG7xLtwwEZwpTI8kvNWFtQjq+PHAOr/7lBo7UEBFdhqFGRpywSXIoLDPjyXXJMFsFArzVCNZroVUpsfePPCSlX4QQwAN9ojCueytXl0pE5FYYaojczOpfz2DXiVwM6RiMzIIKHDxbiOIKM3pGB2DpXd1wS6cQhBh0ri6TiMjtMNQQuRGz1YaPfjmDcTe2xIt3x7m6HCKiJoUThYncyPcpWcguqsDDA9q4uhQioiaHoUYGgvOESQZCCLy35xQGdmiBTmF6V5dDRNTkMNQQuYnEMxdx6GwhHu7PURoiovpgqCFyE+/tOYW2wT4Y3DHY1aUQETVJDDVEbiAjvwybj2Tj4f5toFBwaQAiovpgqCFysbwSI2auSUKAtwbje3DtGSKi+uIl3TIoqjDDR6N0dRnkxmw2ga8PnsOvpy6iTQtvdAjRo0d0AEqMFjz43n4UlVvw0dSb4cV/R0RE9cZQI4MykxV6ndrVZZCbstoE/rH+EL5IOov2Ib74OvkcykxWKBUSvDVK+HmpsX5GX7RuwVseEBE1BEONDHhJN12N1Sbw93UH8VXyObx+340Ye2NL2GwCZy+WY9eJCziZU4JHh7RDKFcIJiJqMIYamfC2T1STj/eexobkc3jjvu64/YYIAIBCISEqyBsPBEW7uDoiIs/CicIy4EAN1SSvxIhXthzHhJuj7IGGiIich6FGJhyoocsJITDvixQoFBKeGtHJ1eUQETULPP0kB06qoSpCCGz9PQcrd/+BX0/l492HeiHQR+PqsoiImgWGGplInFTT7P16Kh8vbjqGxDMXcVPrACx/sCeGdQl1dVlERM1Gg04/LV26FJIkYfbs2fZ9K1aswJAhQ2AwGCBJEgoKCq7bznPPPQdJkhy2mJgYh2OGDBlyxTEzZsxoSPmy4ThN82ax2vDEpwdw7/K9MFqs+HjqzVg3ox9Gdg1zdWlERM1KvUdqEhISsHz5csTFxTnsLysrQ3x8POLj4zF//vxat9e1a1ds3br1UmGqK0ubNm0ann/+eftjb2/velROJK//bjmO71Oy8Mq9N+DOG1vyNgdERC5Sr1BTUlKCiRMnYuXKlVi0aJHDc9WjNjt27KhbISoVwsKu/Zutt7f3dY9xBU6pab42H8nGOzvSMH9UDO7iLQ6IiFyqXqefZs6ciTFjxmDYsGGyFXLixAlERESgbdu2mDhxItLT0684ZvXq1WjRogViY2Mxf/58lJWVXbU9o9GIoqIih81ZBATXqWmGTuWW4qnPDyK+aximD2rr6nKIiJq9Oo/UrF27FklJSUhISJCtiN69e+ODDz5Ap06dkJWVhYULF2LgwIE4fPgw9Ho9AOD+++9HdHQ0IiIicOjQIcybNw+pqan48ssva2xzyZIlWLhwoWw1ElUTQuDwuSI8te4ggvVavHxPHCeKExG5gTqFmoyMDMyaNQtbtmyBTiffsu6jRo2yfx8XF4fevXsjOjoan3/+OaZOnQoAmD59uv2Ybt26ITw8HEOHDkVaWhratWt3RZvz58/H3Llz7Y+LiooQGRkpW82XE4IrCns6m03gQEYBNh3Owg+Hs3H2Yjla+GqxZlpv3veLiMhN1CnUJCYmIicnBz169LDvs1qt2LVrF9566y0YjUYolQ2/y7C/vz86duyIkydPXvWY3r17AwBOnjxZY6jRarXQarUNroWaJyEE0vPLsP9UPn49lY89J3KRXVSBFr5ajOwaitHdwtG7TSBUSq5fSUTkLuoUaoYOHYqUlBSHfVOmTEFMTAzmzZsnS6ABKicip6Wl4cEHH7zqMcnJyQCA8PBwWd6zIQQAiWsKewyz1YbZa5PxXUoWJAnoHGbA6G7hGNk1FL1aB0LJq5uIiNxSnUKNXq9HbGyswz4fHx8EBQXZ92dnZyM7O9s+ypKSkgK9Xo+oqCgEBgYCqAxH48aNw+OPPw4AeOqpp3D77bcjOjoamZmZePbZZ6FUKjFhwgQAQFpaGtasWYPRo0cjKCgIhw4dwpw5czBo0KArLiknagiz1YbH1yRh+7ELeOnuOIzsGgY/L55eIiJqCmRfUXjZsmUOE3QHDRoEAFi1ahUmT54MoDKk5Obm2o85e/YsJkyYgLy8PAQHB2PAgAHYt28fgoODAQAajQZbt27Fa6+9htLSUkRGRmL8+PH417/+JXf59cI5NZ7h8kDzzgM9MLQzVwMmImpKJCGaxyorRUVF8PPzQ2FhIQwGg6xtL/3hGH44nIWdf79F1nap8dhsAnM/rzzltOyBngw0RERuoi6f37z3kwwEBGfUNGFCCCz85gi+PpiJtyZwhIaIqKnipRsy4TolTderW0/gw71nsHhcN4yJc/3EcyIiqh+GGjk0ixN4nun9PafwxrYT+OeoGEy4OcrV5RARUQMw1Mig8pJuamrWJ57F898exV8Ht8WMwVeudURERE0LQw01S5sOZ+Mf6w9iws2R+Gd8jKvLISIiGTDUyEAIwaGaJuTsxTI8te4g4mPDsOjObpwPRUTkIRhqqFmx2QT+vu4QDDoVlo6P4+rAREQehJd0y4ADNU3HB7+cxt4/8rDmkd4w8EaUREQehSM11GyczCnBi5uOYXK/1ujXvoWryyEiIpkx1MhAgOvUuDshBP6+/iBa+nthHicGExF5JIYaahaS0i/iQHoBnrm9C7w08txNnoiI3AtDjQw4p8b9rd6XjqhAbwzuEOzqUoiIyEkYasjjXSw14duULNzfOwoKXu1EROSxGGpkICDAKTXu64uksxBC4J6erVxdChERORFDDXk0i9WG1fvTMSo2HEG+WleXQ0RETsRQI4PKOTUcqnFHH+09g9N5pXhkYBtXl0JERE7GUEMeK6uwHP/9MRUP9I5GXCt/V5dDREROxlAjE86pcT/PbTwCb60Kf4/v5OpSiIioETDUyEAI4eoS6E+2p+Zg85Hz+PdtXXg7BCKiZoKhhjzSWz+dRK/oANwWF+7qUoiIqJEw1MiA4zTuJSn9IhLPXMRfB7fj7SuIiJoRhhqZ8MPTfew+ngs/LzWGxoS4uhQiImpEDDUy4JQa93Iipxidw/VcPZiIqJlhqJEJPz7dR26JESF6navLICKiRsZQIwPeJsG9lBqt8NGqXF0GERE1MoYa8jhlJgu8NUpXl0FERI2MoUYGQnDxPXdSbrLCh6GGiKjZYaiRAecJu5dSkxVeGp5+IiJqbhhqZMIbWroHIQTKTVaefiIiaoYYamTAS7rdR26JCSarDaEGratLISKiRsZQIxPOqXEPf1woAQC0C/Z1cSVERNTYGGpkwaEad1FUYQEA+HtrXFwJERE1NoYamXCgxj2UGitDjS/XqSEianYYamTAOTXuo9RkgUICdGr+0yYiam74k18unFTjFoxmG3RqJW8wSkTUDDHUkEepsFihVfGfNRFRc8Sf/uRRjGYbtCquUUNE1Bwx1MiAc2rch9Fig5bzaYiImiX+9JcJZ3C4h1O5JQjRc+E9IqLmiKGGPEaF2YrdJ3IxpFOIq0shIiIXaFCoWbp0KSRJwuzZs+37VqxYgSFDhsBgMECSJBQUFFy3neeeew6SJDlsMTExDsdUVFRg5syZCAoKgq+vL8aPH4/z5883pHzyMPv+yEOZyYphnUNdXQoREblAvUNNQkICli9fjri4OIf9ZWVliI+Px4IFC+rUXteuXZGVlWXf9uzZ4/D8nDlz8M0332DdunXYuXMnMjMzcdddd9W3fNnxCmLX2/Z7Dlr6e6FjKG+RQETUHNVr2dWSkhJMnDgRK1euxKJFixyeqx612bFjR90KUakQFhZW43OFhYV47733sGbNGtx6660AgFWrVqFz587Yt28f+vTpU+c+yEnwNgluYe8feRjSKZhr1BARNVP1GqmZOXMmxowZg2HDhslWyIkTJxAREYG2bdti4sSJSE9Ptz+XmJgIs9ns8H4xMTGIiorC3r17ZauBmi6bTeB0bik6heldXQoREblInUdq1q5di6SkJCQkJMhWRO/evfHBBx+gU6dOyMrKwsKFCzFw4EAcPnwYer0e2dnZ0Gg08Pf3d3hdaGgosrOza2zTaDTCaDTaHxcVFclWL7kfhUKCTq1EqdHq6lKIiMhF6jRSk5GRgVmzZmH16tXQ6XSyFTFq1Cjcc889iIuLw8iRI/H999+joKAAn3/+eb3bXLJkCfz8/OxbZGSkbPXWhCc8XC+ulR8STue7ugwiInKROoWaxMRE5OTkoEePHlCpVFCpVNi5cyfeeOMNqFQqWK3y/Jbs7++Pjh074uTJkwCAsLAwmEymK66kOn/+/FXn4cyfPx+FhYX2LSMjQ5baasLF99zDgA4tsO+PPJgsNleXQkRELlCnUDN06FCkpKQgOTnZvvXq1QsTJ05EcnIylEp5lqcvKSlBWloawsPDAQA9e/aEWq3Gtm3b7MekpqYiPT0dffv2rbENrVYLg8HgsJFnG9g+GGUmKw6kX3R1KURE5AJ1mlOj1+sRGxvrsM/HxwdBQUH2/dnZ2cjOzraPsqSkpECv1yMqKgqBgYEAKsPRuHHj8PjjjwMAnnrqKdx+++2Ijo5GZmYmnn32WSiVSkyYMAEA4Ofnh6lTp2Lu3LkIDAyEwWDAE088gb59+7r8yidyH10jDAjwVmPPyVz0bhvk6nKIiKiR1euS7mtZtmwZFi5caH88aNAgAJWXYE+ePBkAkJaWhtzcXPsxZ8+exYQJE5CXl4fg4GAMGDAA+/btQ3BwsP2YV199FQqFAuPHj4fRaMTIkSPx9ttvy11+vfEyYtdTKCR0CNXjTF6Zq0shIiIXkIRoHjNCioqK4Ofnh8LCQtlPRT217iBO5Zbii0f7ydou1Y0QAv2X/oTR3cLxr9u6uLocIiKSQV0+v3nvJ/IYqeeLkVlYgf7tW7i6FCIicgGGGvIIQgi88O1RRAZ6oW87zqchImqOGGpkwhk1rvXzyTz8fDIPz97WFTq1PFfhERFR08JQQ01eYZkZ8zccQo8ofwztHOLqcoiIyEVkv/qpOWoeU63dk8Vqw9zPk1FUbsGaR/rwKjQiomaMoUYm/CxtfMUVZjzx6QHsPpGLdx/qhchAb1eXRERELsRQQ02KzSaQnl+G/afy8PaONOSXmLBq8k0Y1DH4+i8mIiKPxlBDbi8jvwzrEs9i94kLSM0uRpmp8h5jQ2NCsGByZ7QL9nVxhURE5A4YamQgwEk1zrLhwFnM+yIFGqUCt8aEYFRsGDqFGXBDKz/4e2tcXR4REbkRhhqZSLyoW3b7/sjDk58fxF09WuH5sV3hreE/VyIiujp+SpBbyisxYtbaA+jdJggvjo+DUsHQSERE18Z1asjt2GwCT647CItV4LX7bmSgISKiWuFIDbmdj/edwY7UC/hgyk0INehcXQ4RETURHKkht1JhtuKt7SdxT89WGNKJqwMTEVHtMdTIgRc/yeaLpLPILTHi0SHtXF0KERE1MQw15DYsVhuW7/wDo2LD0JZrzxARUR0x1JDb2HYsB+n5ZXh0cHtXl0JERE0QQ41ceIFOg317KAsxYXp0a+Xn6lKIiKgJYqght1BhtmLb7+cxplu4q0shIqImiqGG3MKO1ByUmawYHcdQQ0RE9cNQQ27hu5RsxITpeXNKIiKqN4YaGfCK7oapPvV0G0dpiIioARhqyOXsp544n4aIiBqAoYZc7ttDWegcbuDaNERE1CAMNTLhFd31U26y4qdjORjTLczVpRARURPHUEMuxVNPREQkF4YacqnvUnjqiYiI5MFQIwMheP1TfWQWlGMrr3oiIiKZMNSQS6RmF2P8O78gyEeLe3q1cnU5RETkAVSuLoCaF5PFhme+Ooz1SWfRIcQXHz58M0L0OleXRUREHoChhurFZhPYcTwH3xzMwu9ZRWjp74Xbb4jAiK6h8NbU/M/KYrVh1toD2PZ7DhaM7owJN0de9VgiIqK64icK1ZnFasNT6w7iq+RMtA/xRe82gUjNLsbsz5Lho1FieJdQSJKE3BIjurX0Q1wrPxRXWPDxvjM4mlmEZQ/0xLAuoa7uBhEReRiGGplIzWihms9+y8DGg5l4Y0J33HFDhH1/el4ZNhw4hx8OZ0EhSQj302F94lm8vSMNAHBz60CsmdYHN7cJdFXpRETkwRhqZNCcrn0SQuD9PacQHxvmEGgAICrIG7OGdcCsYR0c9ucUVcBLo4Rep27MUomIqJnh1U9UJznFRqRdKMXYG1vW+jUhBh0DDREROR1DDdVJdmEFAKClv5eLKyEiInLEUEP1omhOk4iIiKhJYKihOlEqKsOMxWZzcSVERESOGGqoTgJ9NACAvFKTiyshIiJyxFAjAyEACc3jdIw91JQw1BARkXthqKE60amV0OtUyCsxuroUIiIiBw0KNUuXLoUkSZg9e7Z934oVKzBkyBAYDAZIkoSCgoIGtwkAQ4YMgSRJDtuMGTMaUj7VUwtfLU8/ERGR26l3qElISMDy5csRFxfnsL+srAzx8fFYsGCBbG1WmzZtGrKysuzbSy+9VK/aqWHUSgmlRouryyAiInJQr1BTUlKCiRMnYuXKlQgICHB4bvbs2fjnP/+JPn36yNZmNW9vb4SFhdk3g8FQn/KpAc5eLMPx8yXoEVXz3xEREZGr1CvUzJw5E2PGjMGwYcNkK6Q2ba5evRotWrRAbGws5s+fj7KysqseazQaUVRU5LBRwwgh8PSGwwg1aDG8K29ISURE7qXO935au3YtkpKSkJCQIFsRtWnz/vvvR3R0NCIiInDo0CHMmzcPqamp+PLLL2s8fsmSJVi4cKFsNV5Lc7j3U26JEa9vPYGdxy/gvUm9YOBtD4iIyM3UKdRkZGRg1qxZ2LJlC3Q6nSwF1LbN6dOn27/v1q0bwsPDMXToUKSlpaFdu3ZXHD9//nzMnTvX/rioqAiRkZGy1FwTT15gd9vv5/HUuoMoN1vx3O1dMLQzR2mIiMj91CnUJCYmIicnBz169LDvs1qt2LVrF9566y0YjUYolco6FVDfNnv37g0AOHnyZI2hRqvVQqvV1qmW+hLCM8dqTBYbXtx0DO/tOYWhMSF46e44BPk2zp8pERFRXdUp1AwdOhQpKSkO+6ZMmYKYmBjMmzevzoGmIW0mJycDAMLDw+v8ns7gaSM1GfllmLkmCb9nFeGZ27rg4f6tIXlaJ4mIyKPUKdTo9XrExsY67PPx8UFQUJB9f3Z2NrKzs3Hy5EkAQEpKCvR6PaKiohAYGAigMsiMGzcOjz/+eK3aTEtLw5o1azB69GgEBQXh0KFDmDNnDgYNGnTVy78bk6eN02QXVuC+FfugUABfPNoPca38XV0SERHRdcm+ovCyZcvQvXt3TJs2DQAwaNAgdO/eHRs3brQfk5aWhtzc3Fq3qdFosHXrVowYMQIxMTF48sknMX78eHzzzTdyl19vnnKbhIIyEx56fz+EEPj8r30ZaIiIqMmQhKdOCPmToqIi+Pn5obCwUPb1bWauTkJhuRmfPNJb1nYbW7nJionv7sOp3FKsm9EP7UN8XV0SERE1c3X5/K7zJd1Us6Y+3cRkseGx1Yk4ll2MT6f1YaAhIqImhze0lIFo4rNqKgNNEn4+mYflD/bEDZH+ri6JiIiozhhqZNCUT+BVB5pdxy9g+UM9MbBDsKtLIiIiqheGGpk0xcud/xxobukU4uqSiIiI6o2hRgZNcaSGgYaIiDwNJwrLpKmM0+QUVaCg3IyXNqUy0BARkUdhqJGBgHD7q59MFhte2XIcy3elQQhAo1Qw0BARkUdhqGkGckuMmPrhbzhyrhBzh3VE33ZBCNZrER3k4+rSiIiIZMNQIwMh3Pf0kxACf193EOculmH9o/1wIy/XJiIiD8VQ48GEEPjgl9PYnnoB703qxUBDREQejaFGBgLuc0m3zSbw4uZj+CElGwoJOJ1Xhof6RmNo51BXl0ZERORUDDUycYdIczq3FIu+O4ptx3Lwl16RUCokPHt7KG6J4WRgIiLyfAw1MnDlOjXHsouwctcpZBaU47cz+Wjhq8U7E3siPjbMdUURERG5AEONLFxzSffGg5mYt/4QQgxaxITpMWd4R0zp1wZeGmXjF0NERORiDDVNkNFixcubUvHunlO488YILLkrjkGGiIiaPYYaGQjROBOFzxdVYPW+M1jzazoulpnx7O1dMLlfa7eZpExERORKDDUycVauEELgQEYBPvj5NL5PyYJWpcD4nq0wqV9rtAv2dc6bEhERNUEMNTJwxjxhIQS+Sj6HD34+jYNnCxEd5I0Fozvj7l6tYNCpnfCORERETRtDjUzkHqj5z4+p+N/2NAzs0ALvT+6FIR1DoFDwNBMREdHVMNTIQAgBOWPNu7v/wP+2p+FfYzrjkYFtZWuXiIjIkylcXYAnsApAKdMoSsrZQiz54Rj+OqgtAw0REVEdMNTIQAgh26mhZTvTEB3kjadGdpKlPSIiouaCoUYGVpuAQobLn6w2gR2pObire0uolfyrISIiqgt+csrAJgSUMgzUZOSXodRkRVwr/4Y3RkRE1Mww1MjAZoMsIzVnL5YDAKKDvBvcFhERUXPDUCMDq0xzas4VlEGSgHA/LxmqIiIial54SbcMbELgz5nmQrERmw5noajCgvE9WiHMT3fddv64UIowgw4aFbMmERFRXTHUyMBmE/ZLuq02gY/3nsbSTcdgsQqolQos35mG/xvXDbffEHHVNsxWG344nI0B7Vs0VtlEREQehaFGBjYBJJ65iL+vO4hf0vJwrqAck/pGY+7wThAQePqrw3ji0wP4aO9pDO4YjMhAb5itAuVmK8pNFpSbbDh4tgBnL5bh7Yk9XN0dIiKiJkkSlcvheryioiL4+fmhsLAQBoNB1rZf3XIcPx49D6UC6BEVgLt7tnK4gkkIgZ+O5eD9n08h5WwhiiosACoX7PNWK+GlUcLgpcZTIzoiPjZc1tqIiIiasrp8fjPUNDIhBEpNVmhVCq5FQ0REdB11+fzm6adGJkkSfLX8YyciIpIbhwqIiIjIIzDUEBERkUdgqCEiIiKPwFBDREREHoGhhoiIiDwCQw0RERF5BIYaIiIi8ggMNUREROQRGhRqli5dCkmSMHv2bPu+FStWYMiQITAYDJAkCQUFBQ1uEwAqKiowc+ZMBAUFwdfXF+PHj8f58+cbUj4RERF5kHqHmoSEBCxfvhxxcXEO+8vKyhAfH48FCxbI1iYAzJkzB9988w3WrVuHnTt3IjMzE3fddVd9yyciIiIPU69QU1JSgokTJ2LlypUICAhweG727Nn45z//iT59+sjWZmFhId577z288soruPXWW9GzZ0+sWrUKv/zyC/bt21efLhAREZGHqVeomTlzJsaMGYNhw4bJVsi12kxMTITZbHZ4LiYmBlFRUdi7d2+N7RmNRhQVFTlsRERE5LnqfGfFtWvXIikpCQkJCbIVcb02s7OzodFo4O/v77A/NDQU2dnZNb5myZIlWLhwoWw1EhERkXurU6jJyMjArFmzsGXLFuh0OlkKcEabADB//nzMnTvX/riwsBBRUVEcsSEiImpCqj+3hRDXP1jUwYYNGwQAoVQq7RsAIUmSUCqVwmKx2I/dvn27ACAuXrzY4Da3bdtWY1tRUVHilVdeqVXtGRkZAgA3bty4cePGrQluGRkZ1/2sr9NIzdChQ5GSkuKwb8qUKYiJicG8efOgVCrr0lyt2+zZsyfUajW2bduG8ePHAwBSU1ORnp6Ovn371up9IiIikJGRAb1eD0mSavWaoqIiREZGIiMjAwaDoW4da0LYT8/RHPoIsJ+epDn0EWA/G0IIgeLiYkRERFz32DqFGr1ej9jYWId9Pj4+CAoKsu/Pzs5GdnY2Tp48CQBISUmBXq9HVFQUAgMDAVQGmXHjxuHxxx+vVZt+fn6YOnUq5s6di8DAQBgMBjzxxBPo27dvra+yUigUaNWqVV26a2cwGDz6H2E19tNzNIc+AuynJ2kOfQTYz/ry8/Or1XF1nih8PcuWLXOYoDto0CAAwKpVqzB58mQAQFpaGnJzc+vU7quvvgqFQoHx48fDaDRi5MiRePvtt2Wrm4iIiJo2SYjazLxpnoqKiuDn54fCwkKPTtbsp+doDn0E2E9P0hz6CLCfjYX3froGrVaLZ599Flqt1tWlOBX76TmaQx8B9tOTNIc+AuxnY+FIDREREXkEjtQQERGRR2CoISIiIo/AUENEREQegaGGiIiIPEKzDjXHjx/H2LFj0aJFCxgMBgwYMADbt2+3P5+Xl4f4+HhERERAq9UiMjISjz/++HXvH5WUlIThw4fD398fQUFBmD59OkpKSpzdnatyVj+v125jc0Y/d+zYAUmSatzkvKlrXTjr7xMAvvvuO/Tu3RteXl4ICAjAnXfe6cSeXJ2z+ti6desr/h6XLl3q7O5clTP/LgHAaDTixhtvhCRJSE5OdlIvrs9Z/bzjjjsQFRUFnU6H8PBwPPjgg8jMzHR2d2rkjD6ePn0aU6dORZs2beDl5YV27drh2Wefhclkaowu1chZf5f/93//h379+sHb2/uKm1fXSa1unOShOnToIEaPHi0OHjwojh8/Lh577DHh7e0tsrKyhBBC5Ofni7ffflskJCSI06dPi61bt4pOnTqJCRMmXLXNc+fOiYCAADFjxgxx7Ngx8euvv4p+/fqJ8ePHN1a3ruCMftam3cbmjH4ajUaRlZXlsD3yyCOiTZs2wmazNVbXHDjr73P9+vUiICBAvPPOOyI1NVUcOXJEfPbZZ43RpSs4q4/R0dHi+eefd/j7LCkpaYwu1chZ/az2t7/9TYwaNUoAEAcOHHBiT67NWf185ZVXxN69e8Xp06fFzz//LPr27Sv69u3bGF26gjP6+MMPP4jJkyeLzZs3i7S0NPH111+LkJAQ8eSTTzZWt67grL/Lf//73+KVV14Rc+fOFX5+fvWur9mGmgsXLggAYteuXfZ9RUVFAoDYsmXLVV/3+uuvi1atWl31+eXLl4uQkBBhtVrt+w4dOiQAiBMnTshTfB04q5/1bddZnNXPPzOZTCI4OFg8//zzDaq3vpzVT7PZLFq2bCneffddWeutD2f+XUZHR4tXX31VrlIbxNn/Zr///nsRExMjjhw54tJQ01j/bwohxNdffy0kSRImk6ne9dZHY/bxpZdeEm3atKl3rQ3RGP1ctWpVg0JNsz39FBQUhE6dOuGjjz5CaWkpLBYLli9fjpCQEPTs2bPG12RmZuLLL7/E4MGDr9qu0WiERqOBQnHpj9bLywsAsGfPHnk7UQvO6md92nUmZ/XzzzZu3Ii8vDxMmTJFrtLrxFn9TEpKwrlz56BQKNC9e3eEh4dj1KhROHz4sLO6clXO/rtcunQpgoKC0L17d7z88suwWCxyd6FWnNnP8+fPY9q0afj444/h7e3tjPJrrbH+38zPz8fq1avRr18/qNVqucqvlcbqIwAUFhba76PY2Bqzn/VW7zjkATIyMkTPnj2FJElCqVSK8PBwkZSUdMVx9913n/Dy8hIAxO233y7Ky8uv2ubhw4eFSqUSL730kjAajSI/P1+MHz9eABCLFy92Zneuyhn9rEu7jcVZ/bzcqFGjxKhRo+Qsu86c0c9PP/1UABBRUVFi/fr14rfffhMTJkwQQUFBIi8vz5ndqZGz/i7/+9//iu3bt4uDBw+Kd955R/j7+4s5c+Y4qxvX5Yx+2mw2ER8fL1544QUhhBCnTp1y+eknZ/6/+Y9//EN4e3sLAKJPnz4iNzfXGV24rsb4+XPixAlhMBjEihUr5Cy9Tpzdz4aO1HhcqJk3b54AcM3t999/FzabTdxxxx1i1KhRYs+ePSIxMVE8+uijomXLliIzM9OhzaysLPH777+Lr7/+WnTp0kU8+uij16xh9erVIjQ0VCiVSqHRaMRTTz0lQkNDxdKlSz2mn3Vptyn383IZGRlCoVCI9evXy9Y/d+nn6tWrBQCxfPly+76KigrRokULsWzZMo/oY03ee+89oVKpREVFhSx9dId+vv7666J///7CYrEIIZwXalzdz2oXLlwQqamp4scffxT9+/cXo0ePlm2+m7v0UQghzp49K9q1ayemTp0qS9/ctZ8MNX+Sk5Mjfv/992tuRqNRbN26VSgUClFYWOjw+vbt24slS5Zctf3du3cLALX64M7OzhbFxcWipKREKBQK8fnnnze4f9Vc3c/6tltXru7n5Z5//nkRHBzslPP1ru7nTz/9JACI3bt3O+y/+eabxYIFCxreQeH6Ptbk8OHDAoA4duxYvfv1Z67u59ixY4VCoRBKpdK+ARBKpVI89NBDHtPPmmRkZAgA4pdffql3vy7nLn08d+6c6NChg3jwwQcd5mvKxV36KUTDQ43q2ienmp7g4GAEBwdf97iysjIAcJj7Uv3YZrNd9XXVzxmNxuu+R2hoKADg/fffh06nw/Dhw6/7mtpydT/r225dubqf1YQQWLVqFR566CGnnK93dT979uwJrVaL1NRUDBgwAABgNptx+vRpREdH16oP1+PqPtYkOTkZCoUCISEhtX7N9bi6n2+88QYWLVpkf5yZmYmRI0fis88+Q+/eva9bV225up9yveZa3KGP586dwy233IKePXti1apVV7yHHNyhn7Kpdxxq4i5cuCCCgoLEXXfdJZKTk0Vqaqp46qmnhFqtFsnJyUIIIb777jvx/vvvi5SUFHHq1Cnx7bffis6dO4v+/fvb29m/f7/o1KmTOHv2rH3fm2++KRITE0Vqaqp46623hJeXl3j99dcbvY9COK+ftWnXE/pZbevWrfYhWFdyZj9nzZolWrZsKTZv3iyOHTsmpk6dKkJCQkR+fr5H9PGXX34Rr776qkhOThZpaWnik08+EcHBwbKOXrhDP//M1XNqnNXPffv2iTfffFMcOHBAnD59Wmzbtk3069dPtGvXTtbTia7s49mzZ0X79u3F0KFDxdmzZx2WInAFZ/6bPXPmjDhw4IBYuHCh8PX1FQcOHBAHDhwQxcXFdaqx2YYaIYRISEgQI0aMEIGBgUKv14s+ffqI77//3v78Tz/9JPr27Sv8/PyETqcTHTp0EPPmzRMXL160H7N9+3YBQJw6dcq+78EHHxSBgYFCo9GIuLg48dFHHzVir67krH5er93G5qx+CiHEhAkTRL9+/RqpJ9fmrH6aTCbx5JNPipCQEKHX68WwYcPE4cOHG7Fnlzijj4mJiaJ3797213Tu3FksXry40T8AL+fMf7PVXB1qhHBOPw8dOiRuueUWERgYKLRarWjdurWYMWPGVcOdszmjj6tWrbrqHBdXcda/2UmTJtXYz+3bt9epPkkIIZw/HkRERETkXM12nRoiIiLyLAw1RERE5BEYaoiIiMgjMNQQERGRR2CoISIiIo/AUENEREQegaGGiIiIPAJDDREREXkEhhoiIiLyCAw1RERE5BEYaoiIiMgjMNQQERGRR/h/qrda29juxowAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unit 1006 is a true island.  We will move it to adjoin the mainland in same county.\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#RUN THIS ONLY IF WE FOUND POPULATED ISLANDS\n",
    "nSubGeoms = len(MAP.geoms)\n",
    "subGeoms = [MAP.geoms[n] for n in range(nSubGeoms)]\n",
    "subAreas = [subGeoms[n].area for n in range(nSubGeoms)]\n",
    "mainSubGeomNo = subAreas.index(np.max(subAreas))\n",
    "mainGeom = subGeoms[mainSubGeomNo]\n",
    "nonMainGeom = dummyPoly\n",
    "for geo in subGeoms:  #the \"nonMainGeom is all pieces of the state not in the biggest piece\n",
    "    if geo != mainGeom:\n",
    "        if nonMainGeom == dummyPoly:\n",
    "            nonMainGeom = geo\n",
    "        else:\n",
    "            nonMainGeom = nonMainGeom.union(geo)\n",
    "        \n",
    "print(\"Lets first identify which county each island belongs to.  Then we'll move the island to the closest county mainland\")\n",
    "hasIsland, isIsland = [False for c in range(nCounties)], [False for c in range(nCounties)]\n",
    "isIsland =  [False for t in range(nTracts)]\n",
    "islandXshift, islandYshift = [0. for t in range(nTracts)], [0. for t in range(nTracts)]\n",
    "islandList = list()\n",
    "for c in range(nCounties):\n",
    "    if countyGeom[c].intersects(nonMainGeom):  #this county contains an island.  Find all its island tracts\n",
    "        hasIsland[c] = True\n",
    "        if countyGeom[c].disjoint(mainGeom):  #need to connect the whole county\n",
    "            print(\"county\",c,\"is completely disconnected from mainland.  Move it to adjoin mainland\")\n",
    "            isIsland[c] = True\n",
    "            countyDist = [999999. for cc in range(nCounties)]  #default, to avoid picking island counties as closest to this one\n",
    "            for cc in range(nCounties):\n",
    "                if countyGeom[cc].intersects(mainGeom):\n",
    "                    countyDist[cc] = countyGeom[c].distance(countyGeom[cc].intersection(mainGeom) )\n",
    "            closestCounty = countyDist.index(np.min(countyDist))\n",
    "            p1, p2 = nearest_points(countyGeom[closestCounty],countyGeom[c])\n",
    "            for t in countyTractList[c]:\n",
    "                islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "            for t in countyTractList[c]:\n",
    "                plotPoly(tractGeom[t])\n",
    "                plotCenter(t,tractGeom[t])\n",
    "                plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                tractCP[t] = tractGeom[t].centroid\n",
    "                tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                plotPoly(tractGeom[t],0.2)\n",
    "        else: #move only the county's island tracts to connect with main geom\n",
    "            mainCountyGeom = countyGeom[c].intersection(mainGeom)\n",
    "            plotPoly(mainCountyGeom)\n",
    "            plotCenter(c,mainCountyGeom)\n",
    "            for t in countyTractList[c]:\n",
    "                if tractGeom[t].intersects(nonMainGeom) and t not in skipList:\n",
    "                    if tractGeom[t].intersects(mainCountyGeom):\n",
    "                        print(\"unit\",t,\"has island pieces.  We will reduce the tract to its main state component\")\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "                        tractGeom[t] = tractGeom[t].intersection(mainCountyGeom)\n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                    else:    \n",
    "                        isIsland[t] = True\n",
    "                        print(\"unit\",t,\"is a true island.  We will move it to adjoin the mainland in same county.\")\n",
    "                        islandList.append(t)\n",
    "                        if tractGeom[t].geom_type != dummyPoly.geom_type :  #island tract is multiple geoms.  collapse to its largest isle\n",
    "                            isleGeos = [geo for geo in tractGeom[t].geoms]\n",
    "                            isleAreas = [geo.area for geo in isleGeos]\n",
    "                            biggestIsleNo = isleAreas.index(np.max(isleAreas))\n",
    "                            tractGeom[t] = isleGeos[biggestIsleNo]\n",
    "                            tractCP[t] = tractGeom[t].centroid\n",
    "                        p1, p2 = nearest_points(mainCountyGeom, tractGeom[t])\n",
    "                        islandXshift[t], islandYshift[t]  = p1.x - p2.x , p1.y - p2.y\n",
    "                        plotPoly(tractGeom[t])\n",
    "                        plotCenter(t,tractGeom[t])\n",
    "                        plt.arrow(tractCP[t].x, tractCP[t].y,islandXshift[t], islandYshift[t])\n",
    "                        tractGeom[t] = translate(tractGeom[t], xoff=islandXshift[t], yoff=islandYshift[t])                   \n",
    "                        tractCP[t] = tractGeom[t].centroid\n",
    "                        tractCPx[t], tractCPy[t] = tractCP[t].x, tractCP[t].y\n",
    "                        plotPoly(tractGeom[t],0.2)\n",
    "        plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "9a94118d-5863-4458-b77a-67d18cf01c2c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\n",
      "This would need adjustment for multi-county islands like Michigan UP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing with island triage - RUN ONLY WITH ISLANDS\n",
    "print(\"If you like my proposed translations, let's rebuild the MAP with the adjusted county geoms\")\n",
    "print(\"This would need adjustment for multi-county islands like Michigan UP\")\n",
    "for c in range(nCounties):\n",
    "    if hasIsland[c] :  #rebuild the county geom with the translated islands\n",
    "        countyGeom[c] = dummyPoly\n",
    "        for t in countyTractList[c]:\n",
    "            if t not in skipList:\n",
    "                if countyGeom[c] == dummyPoly:\n",
    "                    countyGeom[c] = tractGeom[t]\n",
    "                else:\n",
    "                    countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "MAP = countyGeom[0]\n",
    "plotPoly(countyGeom[0])\n",
    "for c in range(1,nCounties):\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "    plotPoly(countyGeom[c])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "4aebe4ee-ee7b-4bf3-8413-f315556d453e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "computing all county centerpoints, then plot them\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"computing all county centerpoints, then plot them\")\n",
    "countyCP  = list()\n",
    "cutCountyList = list()\n",
    "for c in range(nCounties):\n",
    "    cTL = countyTractList[c]\n",
    "    countyCP.append(getHDcp( [tractCP[v] for v in cTL], [tractPop[v] for v in cTL], [i for i in range(len(cTL) ) ] ) )\n",
    "    if countyCP[c].disjoint(countyGeom[c]):  #possible with weird-shaped county\n",
    "        countyCP[c] = nearest_points(countyGeom[c],countyCP[c])[0]\n",
    "    plotPoly(countyCP[c].buffer(0.03))\n",
    "    plotPoly(countyGeom[c],0.5)\n",
    "plotPoly(MAP)\n",
    "plt.show()   \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "207f3a55-e361-4777-ae46-41fe3d54a4b8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This code block reads in a csv with whole districts to be cut out of the map\n",
      "For WA my input file says to cut out 0 districts out of 10\n",
      "There were no cut districts in WA\n"
     ]
    }
   ],
   "source": [
    "print(\"This code block reads in a csv with whole districts to be cut out of the map\")\n",
    "unclippedMAP = MAP\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "nCutDistricts = nCuts\n",
    "nStops = trimDF[\"nStopLines\"][DFrow]\n",
    "nDistricts = trimDF[\"nDistricts\"][DFrow]\n",
    "stopLines = list()  #the 'stoplines' stop wedge growth that hops across concave map areas (not currently used)\n",
    "cutCountyList = list()\n",
    "allCutLists, allCutPops = list(), list()\n",
    "print(\"For\",STATE,\"my input file says to cut out\",nCuts,\"districts out of\",nDistricts)\n",
    "if nCuts > 0:\n",
    "    cutList = list()\n",
    "    cutXs = ast.literal_eval(trimDF[\"cutXs\"][DFrow])\n",
    "    cutYs = ast.literal_eval(trimDF[\"cutYs\"][DFrow])\n",
    "    cutPoints = [Point(cutXs[i],cutYs[i]) for i in range(len(cutXs)) ]\n",
    "    for cutNo in range(nCuts):\n",
    "        print(\"performing cut no\",cutNo,\"for state\",STATE)  #first two cutPoints must form the cutLine\n",
    "        cutNotDone = True\n",
    "        thisCutPoints = [ cutPoints[int(4*cutNo)],cutPoints[int(4*cutNo+1)],cutPoints[int(4*cutNo+2)],cutPoints[int(4*cutNo+3)]  ]\n",
    "        while cutNotDone:\n",
    "            cutPoly = Polygon([thisCutPoints[0],thisCutPoints[1],thisCutPoints[2],thisCutPoints[3] ])\n",
    "            cutLine = LineString([thisCutPoints[0], thisCutPoints[1] ] )\n",
    "            cutList = list()\n",
    "            cutPop = 0.\n",
    "            for c in range(nCounties):\n",
    "                if cutPoly.intersects(countyGeom[c]):\n",
    "                    if cutPoly.contains(countyGeom[c]):\n",
    "                        cutList = cutList + countyTractList[c]\n",
    "                        cutPop += countyPop[c]\n",
    "                    else:\n",
    "                        for t in countyTractList[c]:\n",
    "                            if cutPoly.contains(tractCP[t]):\n",
    "                                cutList.append(t)\n",
    "                                cutPop += tractPop[t]\n",
    "                            if STATE == \"NC\":\n",
    "                                if t == 1828:\n",
    "                                    print(\"special for NC - include vtd 1828 from county 55 in the cut list for contiguity\")\n",
    "                                    cutList.append(t)\n",
    "                                    cutPop += tractPop[t]\n",
    "            print(\"the total proposed cutPop is\",cutPop,\". Compare to\",int(statePop/nDistricts) )\n",
    "\n",
    "            doIcut = input(\"enter 1 to apply the cut\")\n",
    "            if str(doIcut) == str(1):\n",
    "                cutNotDone = False\n",
    "                allCutLists.append(cutList)\n",
    "                allCutPops.append(cutPop)\n",
    "            else:\n",
    "                print(\"Here is the state and the last proposed cutPoly.\")\n",
    "                plotPoly(cutPoly)\n",
    "                plotPoly(MAP)\n",
    "                plt.show()\n",
    "                print(cutPoly)\n",
    "                oldPts = list(cutPoly.exterior.coords)\n",
    "                newPtXs = ast.literal_eval(input(\"enter alternate [ x0, x1 ] for the first two points\") )\n",
    "                newPtYs = ast.literal_eval(input(\"enter alternate [ y0, y1 ] for the first two points\") )\n",
    "                thisCutPoints = [Point(newPtXs[0],newPtYs[0]), Point(newPtXs[1],newPtYs[1]),oldPts[2], oldPts[3] ]\n",
    "allCutVTDs = list()\n",
    "for L in allCutLists:\n",
    "    for v in L:\n",
    "        allCutVTDs.append(v)\n",
    "if nCutDistricts == 0:\n",
    "    print(\"There were no cut districts in\",STATE)\n",
    "else:\n",
    "    print(\"here are your cut districts\")\n",
    "    plotPoly(MAP)\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        cutGeo = tractGeom[L[0]]\n",
    "        for v in L:\n",
    "            cutGeo=cutGeo.union(tractGeom[v])\n",
    "        plotPoly(cutGeo,2)\n",
    "        plotCenter(i,cutGeo)\n",
    "        plotCenter(allCutPops[i],Point(cutGeo.centroid.x,cutGeo.centroid.y-0.5) )\n",
    "    plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "4c915415-6c44-4c43-9826-b565cebed95a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Write the vtd cutlists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Write the vtd cutlists to a file\")\n",
    "cutDistrictNo = list()\n",
    "for v in allCutVTDs:\n",
    "    for i,L in enumerate(allCutLists):\n",
    "        if v in L:\n",
    "            cutDistrictNo.append(i)\n",
    "            break\n",
    "nbrDF = pd.DataFrame( {\"vtdNo\":allCutVTDs,\"cutDistrictNo\":cutDistrictNo} )\n",
    "outname = STATE+\"wholeDistrictCuts.csv\" \n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "nbrDF.to_csv(outpath)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "17721728-e5c0-4787-b430-9d7d94970667",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "10 districts\n"
     ]
    }
   ],
   "source": [
    "countyPop = [0. for c in range(nCounties)]\n",
    "for t in range(nTracts):\n",
    "    countyPop[countyNo[t]] += tractPop[t]\n",
    "print(nDistricts,\"districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "f3073320-8d92-45ba-beb2-fb8c08d7170d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Removed all whole districts.  Finalize stats before squishing in outcroppings.\n",
      "Of the total statePop 7705281.0 we ignore 0.0 as it is cut out of the map\n",
      "This excluded pop comes from a total of 2 tracts\n",
      "Our final adjusted number of state districts, excluded fixed cut-out is 10 rather than original 10\n",
      "Each district will be drawn to house 770528.1 = 1/ 10 of non-cutout state pop 7705281.0 vs original= 7705281.0\n",
      "Here is a county-level modified map with each county's fraction of a district pop\n",
      "working on county 0\n",
      "working on county 20\n",
      "here is the WA map excluding cut and unpop coastal tracts\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Removed all whole districts.  Finalize stats before squishing in outcroppings.\")\n",
    "trueCountyPop = [countyPop[c] for c in range(nCounties)]\n",
    "trueCountyGeom = countyGeom.copy()\n",
    "countyPop = [0. for c in range(nCounties)]\n",
    "trueStatePop, true_nDistricts = np.sum(trueCountyPop), nDistricts\n",
    "trueCountyTractList = [list() for c in range(nCounties)]\n",
    "# minTractPop = 4.5  #already defined above\n",
    "populatedTractList = list()\n",
    "countyTractList = [list() for c in range(nCounties)]\n",
    "statePop, excludedPop = 0., 0.\n",
    "\n",
    "for t in range(nTracts):\n",
    "    trueCountyTractList[countyNo[t]].append(t)\n",
    "    if t in allCutVTDs or t in skipList:  #  or vtdPop[t] < minTractPop:  #need to keep low-pop vtds as VEST may have assigned votes to them\n",
    "        excludedPop += tractPop[t]\n",
    "    else:\n",
    "        populatedTractList.append(t)\n",
    "        countyTractList[countyNo[t]].append(t)\n",
    "        countyPop[countyNo[t]] += tractPop[t]\n",
    "        statePop += tractPop[t]\n",
    "        #tractPop[t] = max(tractPop[t],0.000001)  #avoid possible later div/zero errors for nil-vote vtds\n",
    "print(\"Of the total statePop\",statePop+excludedPop,\"we ignore\",excludedPop,\"as it is cut out of the map\") #,\n",
    "#\"or in sparsely populated areas (<\",minTractPop,\") per geom\")\n",
    "print(\"This excluded pop comes from a total of\",nTracts -len(populatedTractList),\"tracts\")\n",
    "true_nDistricts = nDistricts\n",
    "nDistricts -= nCutDistricts\n",
    "print(\"Our final adjusted number of state districts, excluded fixed cut-out is\",nDistricts,\"rather than original\",true_nDistricts)\n",
    "aDP = statePop/float(nDistricts)\n",
    "print(\"Each district will be drawn to house\",r3(aDP),\"= 1/\",nDistricts,\"of non-cutout state pop\",statePop,\"vs original=\",trueStatePop)\n",
    "print(\"Here is a county-level modified map with each county's fraction of a district pop\")\n",
    "\n",
    "vtdGeom = tractGeom.copy()\n",
    "nVTDs = len(vtdGeom)\n",
    "\n",
    "cutCountyList, uncutCountyList = list(), list()\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"working on county\",c)\n",
    "    if len(countyTractList[c]) == 0:  #no vtds added to county b/c all were in cut lists:\n",
    "        cutCountyList.append(c)\n",
    "    else:\n",
    "        uncutCountyList.append(c)\n",
    "        countyGeom[c] = tractGeom[countyTractList[c][0]]\n",
    "        for t in countyTractList[c]:\n",
    "            countyGeom[c] = countyGeom[c].union(tractGeom[t])\n",
    "uncutMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "print(\"here is the\",STATE,\"map excluding cut and unpop coastal tracts\")\n",
    "\n",
    "for c in uncutCountyList:\n",
    "    plotPoly(countyGeom[c])\n",
    "    FONTSIZE = 8 #11  #reduce for TX\n",
    "    if countyPop[c] / statePop < 0.02:\n",
    "        FONTSIZE = 5 #7 #reduce for TX\n",
    "        plotCenter(r3(countyPop[c]/aDP),countyGeom[c], FONTSIZE)\n",
    "    else:\n",
    "        plotCenter(round(countyPop[c]/aDP,2),countyGeom[c], FONTSIZE)\n",
    "plotPoly(trueMAP,0.1)\n",
    "for c in cutCountyList:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "    plotCenter(\"cut\",countyGeom[c],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "91bf5db4-45db-41ba-b790-64b3e46bdea4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "visualizing pops in low-pop coastal county 27\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "visualizing pops in low-pop coastal county 4\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cList = [27, 4]\n",
    "for c in cList:\n",
    "    print(\"visualizing pops in low-pop coastal county\",c)\n",
    "    for t in countyTractList[c]: #San Juan county - is the pop concentrated?\n",
    "        plotPoly(tractGeom[t])\n",
    "        plotCenter(tractPop[t],tractGeom[t],8)\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "0062ac21-3328-4616-99ed-70c53e62b308",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the map topology before any squish operations.  Plot countyPop/aDP\n",
      "Working on county  0 distances\n",
      "Working on county  20 distances\n",
      "the max LAT-scaled distance between counties is 4.85132\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter user-picked max district diameter, or 0 to accept 4.85132  0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Working on county  0 neighbors\n",
      "Working on county  20 neighbors\n",
      "I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#For corners and outcroppings, we fuse county clusters\n",
    "collapsedCountyList = list()  #VA has independent cities that we will reassign to parent counties\n",
    "print(\"Now finalize the map topology before any squish operations.  Plot countyPop/aDP\")\n",
    "preSquishCountyGeom = [countyGeom[c] for c in range(nCounties)]\n",
    "maxD = 0.\n",
    "for c in range(nCounties):\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"distances\")\n",
    "    if c not in cutCountyList:\n",
    "        plotPoly(countyGeom[c],0.2)\n",
    "        plotCenter(r3(countyPop[c]/aDP), countyGeom[c], 7 )\n",
    "        for cc in range(c+1, nCounties):\n",
    "            dist = getLongDist(countyCP[c],countyCP[cc],xScale)\n",
    "            if dist > maxD and cc not in cutCountyList:\n",
    "                maxD = dist\n",
    "                #print(c,cc,maxD)\n",
    "print(\"the max LAT-scaled distance between counties is\",r5(maxD))\n",
    "plotPoly(MAP)\n",
    "plotPoly(MAP.centroid.buffer(0.5*maxD))\n",
    "plt.show()\n",
    "inputD = float( input(\"enter user-picked max district diameter, or 0 to accept \"+str(r5(maxD))+\" \") )\n",
    "if inputD > 0:\n",
    "    maxD = inputD\n",
    "neighborCountyList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"Working on county \",c,\"neighbors\")\n",
    "    for cc in uncutCountyList:\n",
    "        if cc > c and cc not in cutCountyList:  \n",
    "            if countyGeom[c].intersects(countyGeom[cc]) :\n",
    "                neighborCountyList[c].append(cc)\n",
    "                neighborCountyList[cc].append(c)\n",
    "print(\"I have also identified each county's neighbors.  Let's visualize the counties with two or fewer neighbors\")\n",
    "hasFewNeighborCs, has1neighborCs = list(), list()\n",
    "plotPoly(MAP,0.15)\n",
    "for c in uncutCountyList:\n",
    "    if len(neighborCountyList[c]) == 2:\n",
    "        hasFewNeighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.2,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.5)\n",
    "    if len(neighborCountyList[c]) < 2:\n",
    "        has1neighborCs.append(c)\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c+0.1,countyGeom[c])\n",
    "        for cc in neighborCountyList[c] :\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "plt.show()   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "398fbc6d-3b05-4c1f-87cb-72d11cdd98bc",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "f9b3df93-d821-44ca-b4f4-b65d13baaffb",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "continuing from above, develop corner county blocks from each low-pop corner county until it hits 0.25 of 770528\n",
      "checking if county 1 with pop 22285.0 and 1 or 2 neighbors is less pop than 192632\n",
      "checking if county 4 with pop 77155.0 and 1 or 2 neighbors is less pop than 192632\n",
      "checking if county 5 with pop 503311.0 and 1 or 2 neighbors is less pop than 192632\n",
      "checking if county 25 with pop 13401.0 and 1 or 2 neighbors is less pop than 192632\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Below I plot these again by county no, with faded neighboring counties\n",
      "0   [1, 11, 37, 6, 0, 21, 35, 9]\n",
      "1   [4, 15, 27]\n",
      "2   [25, 32, 9, 21, 37, 0, 23, 11]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are 770528.1 192632\n",
      "You may suggest [ [1, 11, 6, 37, 35], [4,15], [25,32,9], [27] ] \n",
      "let's decide whether to delete, accept, or modify list [1, 11, 37, 6, 0, 21, 35, 9] with pop 177747.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) [1, 11, 6, 37, 35]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, I will replace [1, 11, 37, 6, 0, 21, 35, 9] with [1, 11, 6, 37, 35]\n",
      "let's decide whether to delete, accept, or modify list [4, 15, 27] with pop 127920.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) [4,15]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, I will replace [4, 15, 27] with [4, 15]\n",
      "let's decide whether to delete, accept, or modify list [25, 32, 9, 21, 37, 0, 23, 11] with pop 190876.0\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list) [25,32,9]\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "OK, I will replace [25, 32, 9, 21, 37, 0, 23, 11] with [25, 32, 9]\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if you want to manually add another corner-county cluster 1\n",
      "Type in a [county list], where the corner county is first in the list.  Or type 0 to stop [27]\n",
      "enter 1 if you want to manually add another corner-county cluster 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Our final pops and fused-county lists are...\n",
      "139080.0 [1, 11, 6, 37, 35]\n",
      "110132.0 [4, 15]\n",
      "67024.0 [25, 32, 9]\n",
      "17788.0 [27]\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "aDP = float(statePop)/nDistricts\n",
    "maxCCBratio = 1./4.  #adjustable max fraction of district pop for corner county blocks.  Let's try 3/16\n",
    "maxCCBpop = maxCCBratio * aDP\n",
    "print(\"continuing from above, develop corner county blocks from each low-pop corner county until it hits\",r3(maxCCBratio),\"of\",int(aDP) )\n",
    "CCBlist, CCBpop, passThruList = list(), list(), list()  #\"waiveThru\" counties get chance to join a cluster even if high pop\n",
    "nFuses = 0\n",
    "for c in set(has1neighborCs).difference(set(collapsedCountyList)):\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and only 1 neighbor is less pop than\",int(maxCCBpop),\"vs districtPop\",int(aDP) )\n",
    "    if countyPop[c] > maxCCBpop:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        nc = neighborCountyList[c][0]\n",
    "        plotPoly(countyGeom[nc],0.5)\n",
    "        plotPoly(MAP,0.2)\n",
    "        print(\"county\",c,\"has pop\",countyPop[c],\"and its only neighbor has pop\",countyPop[nc],\"vs districtPop\",aDP,\". Default = keep un-fused\")\n",
    "        print(\"enter 0 to keep\",c,\"as an unfused collection of units, 1 to fuse as one unit and stop, 2 to force-add at least the next closest county\")\n",
    "        fuseChoice = input(\"0, 1, or 2.  Any other input taken as a zero\")\n",
    "        if fuseChoice == 0:\n",
    "            keepUnfused = True\n",
    "            break\n",
    "        elif int(fuseChoice) == 1:\n",
    "            CCBlist.append([c])\n",
    "            CCBpop.append(countyPop[c])  \n",
    "            hasFewNeighborCs.append(c)  #this adds this [c] to the final list of fused units, but will fail to find more in below\n",
    "        elif int(fuseChoice) == 2:\n",
    "            CCBlist.append([c,nc ] )\n",
    "            CCBpop.append(countyPop[c] + countyPop[nc])\n",
    "            hasFewNeighborCs.append(c)\n",
    "            passThruList.append(c)   #pass on thru to the below 2neighbor logic even if too high-pop to qualify\n",
    "    else:\n",
    "        hasFewNeighborCs.append(c)  #normal case; we'll handle in next, more general, for loop            \n",
    "        \n",
    "for c in set(hasFewNeighborCs).difference(set(collapsedCountyList)):\n",
    "    print(\"checking if county\",c,\"with pop\",countyPop[c],\"and 1 or 2 neighbors is less pop than\",int(maxCCBpop) )\n",
    "    if countyPop[c] < maxCCBpop :\n",
    "        CCBlist.append([c])\n",
    "        CCBpop.append(countyPop[c])\n",
    "        CCBno = CCBlist.index([c])\n",
    "    if c in passThruList:\n",
    "        CCBno = CCBlist.index([c,neighborCountyList[c][0] ])\n",
    "    if countyPop[c] < maxCCBpop or c in passThruList:            \n",
    "        CCBstarter = c\n",
    "        canAdd = True\n",
    "        while canAdd:\n",
    "            nbrSet = set()\n",
    "            for cc in CCBlist[CCBno]:\n",
    "                nbrSet = ( nbrSet.union(set(neighborCountyList[cc])) ).difference(set(CCBlist[CCBno]))\n",
    "            nPop = [countyPop[cc] for cc in nbrSet]\n",
    "            nDist = [countyGeom[cc].centroid.distance(countyGeom[CCBstarter].centroid) for cc in nbrSet]\n",
    "            idx = np.argsort(nDist)\n",
    "            nbrList, newList = list(nbrSet), list()\n",
    "            for i in range(len(nDist)):  #add counties, closest to starter that will fit until over\n",
    "                cc = nbrList[idx[i]]\n",
    "                if CCBpop[CCBno] + countyPop[cc] < maxCCBpop:\n",
    "                    newList.append(cc)\n",
    "                    CCBlist[CCBno].append(cc)\n",
    "                    CCBpop[CCBno] += countyPop[cc]\n",
    "                    #print(\"adding county\",cc,\"with pop\",countyPop[cc],\"to list started by\",CCBstarter,\".Cluster pop now\",CCBpop[CCBno]  )\n",
    "            if newList == list():  #no eligible neighbor counties found; stop\n",
    "                canAdd = False\n",
    "                for cc in CCBlist[CCBno]:\n",
    "                    plotPoly(countyGeom[cc])\n",
    "                    plotCenter(CCBno,countyGeom[cc])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "                    \n",
    "print(\"Below I plot these again by county no, with faded neighboring counties\")\n",
    "plotPoly(MAP,0.15)\n",
    "for L in CCBlist:\n",
    "    print(CCBlist.index(L),\" \",L)\n",
    "    for c in L:\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(c,countyGeom[c])\n",
    "        for cc in list(set(neighborCountyList[c]).difference(L) ):\n",
    "            plotPoly(countyGeom[cc],0.4)\n",
    "            plotCenter(cc,countyGeom[cc],8)\n",
    "plt.show()\n",
    "rejectList = list()\n",
    "print(\"Now finalize the corner lists.  Remember, our avgDistrictPop and normal pop threshold are\",r3(aDP), int(maxCCBpop))\n",
    "print(\"You may suggest [ [1, 11, 6, 37, 35], [4,15], [25,32,9], [27] ] \")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if L[0] not in passThruList:  #if we forced the fused-counties list above, don't give option here to modify\n",
    "        print(\"let's decide whether to delete, accept, or modify list\",L,\"with pop\",CCBpop[i] )\n",
    "        isOK = input(\"enter 0 to ax, 1 to accept, or type in a [replacement list] (must start with same c as orig list)\")\n",
    "        if not (isOK == 1 or isOK == str(1)) :\n",
    "            if isOK == 0 or isOK == str(0) :\n",
    "                rejectList.append(L)\n",
    "            else:\n",
    "                notGood = True\n",
    "                while notGood:       \n",
    "                    Lnew = ast.literal_eval(isOK)        \n",
    "                    if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                        notGood = False\n",
    "                    else:\n",
    "                        print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                        isOK = input(\"Try again here \")\n",
    "                print(\"OK, I will replace\",L,\"with\",Lnew)\n",
    "                CCBpop[i] = np.sum( [countyPop[c] for c in Lnew] )\n",
    "                CCBlist[i] = Lnew.copy()\n",
    "for L in rejectList:\n",
    "    del CCBpop[ CCBlist.index(L)]\n",
    "    del CCBlist[CCBlist.index(L)]\n",
    "stillAdding = True\n",
    "while stillAdding:\n",
    "    addMore = input(\"enter 1 if you want to manually add another corner-county cluster\")\n",
    "    if int(addMore) != 1:\n",
    "        stillAdding = False\n",
    "    else:\n",
    "        isOK = input(\"Type in a [county list], where the corner county is first in the list.  Or type 0 to stop\")\n",
    "        if isOK == 0 or isOK == str(0) :\n",
    "            print(\"OK, we'll stop adding corner clusters\")\n",
    "            stillAdding = False\n",
    "        else:\n",
    "            notGood = True\n",
    "            while notGood:       \n",
    "                Lnew = ast.literal_eval(isOK)        \n",
    "                if len(list(set(Lnew).difference(set([c for c in range(nCounties) ] )))) == 0:\n",
    "                    notGood = False\n",
    "                    for L in CCBlist:\n",
    "                        if set(L).intersection(set(Lnew)) != set(list()) :\n",
    "                            notGood = True\n",
    "                            print(\"OOPS! The following inputted counties are already in\",L,\":\",set(L).intersection(set(Lnew)) )\n",
    "                            isOK = input(\"Try again here \")\n",
    "                    if notGood == False:\n",
    "                        CCBlist.append(Lnew)\n",
    "                        CCBpop.append( np.sum( [countyPop[c] for c in Lnew] ) )\n",
    "                else:\n",
    "                    print(\"Oops!  You didn't enter a valid list.  Try again as [\",L[0],\", n1, n2, ... ] where n1, n2 are county integers\")\n",
    "                    isOK = input(\"Try again here \")\n",
    "print(\"Our final pops and fused-county lists are...\")\n",
    "allFusedCounties = list()\n",
    "CCBgeom = [dummyPoly for L in CCBlist ]\n",
    "CCBcp = list()\n",
    "for i, L in enumerate(CCBlist):\n",
    "    CCBcp.append( getHDcp([countyCP[c] for c in L], [countyPop[c] for c in L], [ j for j in range(len(L)) ] ) )\n",
    "    print(CCBpop[i],L)\n",
    "    pops, CPs = list(), list()\n",
    "    for c in L:\n",
    "        if c == L[0]:\n",
    "            CCBgeom[i] = countyGeom[c]\n",
    "        else:\n",
    "            CCBgeom[i] = CCBgeom[i].union(countyGeom[c])\n",
    "        allFusedCounties.append(c)\n",
    "        pops += countyPop[c]       #  IS THIS EVEN USED?\n",
    "        CPs.append(countyCP[c])   #  IS THIS EVEN USED?\n",
    "        plotPoly(countyGeom[c])\n",
    "        plotCenter(i,countyGeom[c])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "206c9372-8ec8-4190-93ed-04df286466e0",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now identify the border counties + border fused units, and interior small counties with pop < 15410\n",
      "We defined a total of 3 unit (but not corner-cluster) counties in the map\n",
      "excluding the cut-out districts and collapsed counties\n"
     ]
    }
   ],
   "source": [
    "maxWholeBorderCountyPop = 0.02 * aDP   #to encourage contiguity, border counties > 0.02 aDP will be forced whole\n",
    "maxInteriorBorderCountyPop = 0.02 * aDP\n",
    "print(\"now identify the border counties + border fused units, and interior small counties with pop <\", int(maxInteriorBorderCountyPop))\n",
    "unitCounties, borderCounties = list(), list()\n",
    "origMAP = MAP\n",
    "if MAP.geom_type == dummyPoly.geom_type:\n",
    "    MAPexterior = MAP.exterior\n",
    "else:\n",
    "    maxArea = 0\n",
    "    for geo in MAP.geoms:\n",
    "        if geo.area > maxArea:\n",
    "            MAPexterior = geo.exterior\n",
    "            maxArea = geo.area\n",
    "            MAP0 = geo\n",
    "    MAP = MAP0\n",
    "for c in set(uncutCountyList).difference(set(collapsedCountyList)):\n",
    "    if countyGeom[c].intersects(MAPexterior):\n",
    "        borderCounties.append(c)\n",
    "        if c not in allFusedCounties:\n",
    "            if countyPop[c] < maxWholeBorderCountyPop:\n",
    "                unitCounties.append(c)\n",
    "    else:\n",
    "        if countyPop[c] < maxInteriorBorderCountyPop and c not in allFusedCounties:\n",
    "            unitCounties.append(c)\n",
    "print(\"We defined a total of\",len(unitCounties),\"unit (but not corner-cluster) counties in the map\")\n",
    "print(\"excluding the cut-out districts and collapsed counties\")        "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "e0ff719c-59dc-4827-a522-11bd352f7524",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For this state, do we have a lot of populated fragmented VTDs?\n",
      "212 fragmented VTDs out of 7434\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FYI, here are the locations of fragmented VTDs with pop > 3000\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"For this state, do we have a lot of populated fragmented VTDs?\")\n",
    "nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "print(len(fragmentedVTDs),\"fragmented VTDs out of\",nVTDs)\n",
    "fragPop = [tractPop[v] for v in fragmentedVTDs]\n",
    "plt.hist(fragPop)\n",
    "plt.show()\n",
    "print(\"FYI, here are the locations of fragmented VTDs with pop > 3000\")\n",
    "for v in fragmentedVTDs:\n",
    "    if tractPop[v] > 3000:\n",
    "        plotPoly(vtdGeom[v])\n",
    "plotPoly(MAP,0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "71d771f8-dbe2-48f9-a702-9f66a62d1174",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\n",
      "I split up 212 fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\n",
      "looking for surrounds, now working on vtd 0\n",
      "looking for surrounds, now working on vtd 501\n",
      "looking for surrounds, now working on vtd 1001\n",
      "looking for surrounds, now working on vtd 1501\n",
      "looking for surrounds, now working on vtd 2001\n",
      "looking for surrounds, now working on vtd 2501\n",
      "looking for surrounds, now working on vtd 3001\n",
      "looking for surrounds, now working on vtd 3502\n",
      "looking for surrounds, now working on vtd 4002\n",
      "looking for surrounds, now working on vtd 4502\n",
      "looking for surrounds, now working on vtd 5002\n",
      "looking for surrounds, now working on vtd 5502\n",
      "looking for surrounds, now working on vtd 6002\n",
      "looking for surrounds, now working on vtd 6502\n",
      "looking for surrounds, now working on vtd 7002\n",
      "On loop 2 for county 12  we found that vtd frag 1716 now has only 1 neighbor 7547\n",
      "On loop 2 for county 20  we found that vtd frag 7580 now has only 1 neighbor 7611\n",
      "After surround checks, we appear to have 7070 building blocks defined. We captured 167 surrounded VTDs\n",
      "working on unit neighbor lists for county 0\n",
      "WARNING - unit 1529  = vtd 7564 in county 12 has only 1 neighbor= [1489] . Optional triage in next block\n",
      "working on unit neighbor lists for county 20\n",
      "All done creating unit lists\n"
     ]
    }
   ],
   "source": [
    "#3/2/24 - split up all multipoly VTDs into fragments, divvy pop by area\n",
    "unitPop, unitCP, unitGeom, nbrUnitGeom, allUnits = list(), list(), list(), list(), list()\n",
    "vtdUnits, countyUnits, borderUnits = list(),list(),list()\n",
    "countyUnitList = [list() for c in range(nCounties) ]\n",
    "surroundedVTDs, surrounders = list(), list()  #vtds that are surrounded by another vtd - problem for later enclaves, xfer their pops to surrounders\n",
    "#These surrounded VTDs don't get transferred to the unit list\n",
    "print(\"Now writing the master list of units, which may be individual vtd's (+surrounds), whole counties, or corner county clusters\")\n",
    "for c in unitCounties:\n",
    "    unitCP.append(countyCP[c])\n",
    "    unitPop.append(countyPop[c])\n",
    "    unitGeom.append(   countyGeom[c] )\n",
    "    nbrUnitGeom.append(countyGeom[c] )\n",
    "    countyUnits.append(c)\n",
    "    allUnits.append(c+0.5)  #use non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nVTDneighbors = [0 for v in range(nVTDs)] #this loop -- just checking for surrounded VTDs\n",
    "lastVTDneighbor = [-999 for v in range(nVTDs)]\n",
    "\n",
    "nFragmentedVTDs,fragmentedVTDs, coastalFragmentedVTDs = 0, list(), list()  #a prev version treated coastal separately\n",
    "fragVTDgeom, parentVTDno, fragVTDpop = vtdGeom.to_list(), [v for v in range(nVTDs)], tractPop.to_list()  #these lists will expand to include vtd fragments \n",
    "origVTDgeom = vtdGeom.copy() #we create a parallel fragVTDgeom list which grabs the 1st fragment, then append fragments to the total list\n",
    "origVTDpop = tractPop.copy()\n",
    "VTDchildren = [[v] for v in range(nVTDs)]  #the list of all fragment numbers associated with the original VTD, including ones that get surrounded\n",
    "countyFragVTDset = [set(countyTractList[c]) for c in range(nCounties)]\n",
    "for v in populatedTractList:\n",
    "    c = countyNo[v]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        if vtdGeom[v].geom_type != dummyPoly.geom_type :  #a multipoly vtd-based unit\n",
    "            nFragmentedVTDs +=1\n",
    "            fragmentedVTDs.append(v)\n",
    "            geos, areas = [geo for geo in vtdGeom[v].geoms ], [geo.area for geo in vtdGeom[v].geoms]\n",
    "            for i, geo in enumerate(geos):\n",
    "                if i == 0:\n",
    "                    fragVTDgeom[v] = geo\n",
    "                    fragVTDpop[v] = tractPop[v] * areas[i] / np.sum(areas)  #overwrite, then distribute balance below\n",
    "                else:\n",
    "                    fNo = len(fragVTDgeom)\n",
    "                    fragVTDgeom.append(geo)\n",
    "                    fragVTDpop.append( tractPop[v] * areas[i] / np.sum(areas) )\n",
    "                    parentVTDno.append(v)\n",
    "                    countyFragVTDset[c].add(fNo )\n",
    "                    VTDchildren[v].append(fNo)\n",
    "                    nVTDneighbors.append(0)\n",
    "                    lastVTDneighbor.append(-999)\n",
    "                    \n",
    "print(\"I split up\",nFragmentedVTDs,\"fragmented VTDs. Now define unit neighbor lists and fuse geometries of surrounds.\")\n",
    "\n",
    "debugV = -7616\n",
    "for kk,V in enumerate(populatedTractList):\n",
    "    if kk%500 == 0:\n",
    "        print(\"looking for surrounds, now working on vtd\",V)\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties:\n",
    "        for v in VTDchildren[V]:\n",
    "            for vv in countyFragVTDset[c].difference({v}) :\n",
    "                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                    nVTDneighbors[v] +=1\n",
    "                    lastVTDneighbor[v] = vv\n",
    "                    if v == debugV:\n",
    "                        print(\"I just added neighbor\",vv,\"to magicV\",v)\n",
    "                #if nVTDneighbors[v] >= 4:  #Enough to have >=2 even after surrounds.  Will do full neighbor list later\n",
    "                #    break\n",
    "            #if STATE == \"TN\":  #Tennessee has a lot of discontiguous county fragments.  Force the nearest intracounty to be a neighbor\n",
    "            #    if nVTDneighbors[v] == 0:\n",
    "            #        listMinusSelf = list( countyFragVTDset[c].difference({v}) )\n",
    "            #        fragDist = [fragVTDgeom[vvv].distance(fragVTDgeom[v]) for vvv in listMinusSelf ]\n",
    "            #        minIndex = fragDist.index(np.min(fragDist))\n",
    "            #        vv = listMinusSelf[minIndex]\n",
    "            #        nVTDneighbors[v] +=1\n",
    "            #        lastVTDneighbor[v] = vv\n",
    "            #        print(\"I am forcing an intracounty neighbor for VTDfrag\",v,\"of vtd\",V,\"in county\",c,\"to be VTDfrag\",vv)\n",
    "            #        forcedPairList.append([v,vv])\n",
    "            if nVTDneighbors[v] < 4:  #OK if a vtd has only 1 intracounty neighbor IF it touches another county, it's not surrounded\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if fragVTDgeom[v].intersects(countyGeom[cc]):\n",
    "                        if cc not in unitCounties + allFusedCounties:\n",
    "                            for vv in countyFragVTDset[cc] :\n",
    "                                if fragVTDgeom[vv].intersects(fragVTDgeom[v]):\n",
    "                                    nVTDneighbors[v] +=1\n",
    "                                    lastVTDneighbor[v] = vv\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                print(\"WARNING. vtd frag\",v,\"in county\",c,\"intersected county\",cc,\"but had no intracounty neighbors\")\n",
    "                                plotPoly(fragVTDgeom[v],2)\n",
    "                                plotCenter(\"iso\",fragVTDgeom[v])\n",
    "                                plotPoly(countyGeom[c])\n",
    "                                plotPoly(countyGeom[cc],0.2)\n",
    "                                plotCenter(cc, countyGeom[cc])\n",
    "                                plt.show()\n",
    "                        else:\n",
    "                            nVTDneighbors[v] +=1\n",
    "                            if nVTDneighbors[v] == 1:\n",
    "                                if STATE == \"TN\":  #for TN, we tolerate some discontiguous counties\n",
    "                                    print(\"vtd fragment\",v,\"with no neighbors in its county\",countyNo[parentVTDno[v]],\n",
    "                                          \"borders a unit or fused county\",cc)\n",
    "                                else:\n",
    "                                    raise Exception(\"ERROR! Neighborless vtd fragment\",v,\"neighbors a unit or fused county\",cc)                                \n",
    "            if v == debugV:\n",
    "                print(v,\"has\",nVTDneighbors[v],\"neighbors.  its last is\",lastVTDneighbor[v])\n",
    "                \n",
    "for loop in range(3): #to catch surrounds of surrounds\n",
    "    for V in populatedTractList:\n",
    "        c = countyNo[V]\n",
    "        if c not in allFusedCounties and c not in unitCounties: \n",
    "            for v in VTDchildren[V]:\n",
    "                if nVTDneighbors[v] == 1:\n",
    "                    vv = lastVTDneighbor[v]\n",
    "                    if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                        for sNo, s in enumerate(surroundedVTDs):\n",
    "                            if surrounders[sNo] == v:\n",
    "                                surrounders[sNo] = vv\n",
    "                    surroundedVTDs.append(v)\n",
    "                    surrounders.append(vv)\n",
    "                    nVTDneighbors[vv] -=1\n",
    "                    nVTDneighbors[v] -=1 #in case this surrounder becomes a later surroundee\n",
    "                    fragVTDpop[vv] += fragVTDpop[v]\n",
    "                    fragVTDpop[v] = 0\n",
    "                    if lastVTDneighbor[vv] == v:  #find another neighbor in case this surrounder is also a surroundee in loop 2\n",
    "                        for vvv in countyFragVTDset[c]:\n",
    "                            if vvv not in [v,vv]:\n",
    "                                if fragVTDgeom[vvv].intersects(fragVTDgeom[vv]):\n",
    "                                    lastVTDneighbor[vv] = vvv\n",
    "                    if lastVTDneighbor[vv] == v:\n",
    "                        print(\"WARNING.  We did not find another neighbor of surrounder\",vv,\"other than surroundee\",v)\n",
    "                    if loop > 0:\n",
    "                        print(\"On loop\",loop+1,\"for county\",c,\" we found that vtd frag\",v,\"now has only 1 neighbor\",vv)\n",
    "if STATE == \"PA\":  #state-specific manual surround enforcement\n",
    "    specialSurrounded = [7240, 7701]\n",
    "    specialSurrounder = 6447\n",
    "    print(\"special for\",STATE,\", I believe that\", specialSurrounded,\"are surrounded by vtd (fragment)\",specialSurrounder,\". Here, let me show you\")\n",
    "    c = countyNo[parentVTDno[specialSurrounder]]\n",
    "    plotPoly(countyGeom[c], 0.5)\n",
    "    for v in specialSurrounded:\n",
    "        plotPoly(fragVTDgeom[v])\n",
    "        plotCenter(v,fragVTDgeom[v])\n",
    "    plotPoly(fragVTDgeom[specialSurrounder],0.2)\n",
    "    plotCenter(specialSurrounder, fragVTDgeom[specialSurrounder], 8)\n",
    "    plt.show()\n",
    "    shouldIcombine = int(input(\"enter 1 to apply the surrounding operation\"))\n",
    "    if shouldIcombine == 1:\n",
    "        for v in specialSurrounded:\n",
    "            vv = specialSurrounder\n",
    "            if v in surrounders:  #transferring surrounded of surrounds to master surrounder\n",
    "                for sNo, s in enumerate(surroundedVTDs):\n",
    "                    if surrounders[sNo] == v:\n",
    "                        surrounders[sNo] = vv\n",
    "            surroundedVTDs.append(v)\n",
    "            surrounders.append(vv)\n",
    "            nVTDneighbors[vv] -=1\n",
    "            nVTDneighbors[v] = 0 #we are capturing all surroundees (some of whom may touch other surroundees)\n",
    "            fragVTDpop[vv] += fragVTDpop[v]\n",
    "            fragVTDpop[v] = 0\n",
    "\n",
    "\n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] >1:\n",
    "                unitCP.append(fragVTDgeom[v].centroid)\n",
    "                unitGeom.append(fragVTDgeom[v])\n",
    "                unitPop.append(fragVTDpop[v])   #for now, ratio pop by area, not block decomposition\n",
    "                vtdUnits.append(v)   #if a border unit, we'll catch in below big loop, after checking for surround\n",
    "                allUnits.append(v)\n",
    "#for V in populatedTractList:\n",
    "#    c = countyNo[V]\n",
    "#    if c not in allFusedCounties and c not in unitCounties:  \n",
    "#        for v in VTDchildren[V]: \n",
    "for V in populatedTractList:\n",
    "    c = countyNo[V]\n",
    "    if c not in allFusedCounties and c not in unitCounties: \n",
    "        for v in VTDchildren[V]:\n",
    "            if nVTDneighbors[v] == 1:  #a surrounded VTD, transfer its pop to surrounder unit.  Don't bother with shifting centerpoints\n",
    "                print(\"somehow we missed 1-neighbor vtd frag\",v,\" with last vtd frag nbr\",lastVTDneighbor[v])\n",
    "            if nVTDneighbors[v] == 0 and v not in surroundedVTDs:\n",
    "                print(\"WARNING. unsurrounded vtd\",v,\"had no found neighbors\")\n",
    "\n",
    "for i, L in enumerate(CCBlist):\n",
    "    unitCP.append( CCBcp[i] )\n",
    "    unitPop.append(CCBpop[i])\n",
    "    unitGeom.append(   CCBgeom[i])\n",
    "    nbrUnitGeom.append(CCBgeom[i])\n",
    "    allUnits.append(i+0.25)  #use alt non-integers to avoid vtd and county and cluster confusion\n",
    "\n",
    "nUnits = len(allUnits)\n",
    "print(\"After surround checks, we appear to have\",nUnits,\"building blocks defined. We captured\",len(surroundedVTDs),\"surrounded VTDs\")\n",
    "\n",
    "unitNbrs = [list() for u in range(nUnits)]\n",
    "countyUnitList = [list() for c in range(nCounties)]\n",
    "for c in uncutCountyList:\n",
    "    for v in countyFragVTDset[c]:\n",
    "        if v in allUnits:\n",
    "            countyUnitList[c].append(allUnits.index(v))\n",
    "\n",
    "sketchyList = list()\n",
    "for c in uncutCountyList:\n",
    "    if c%20 == 0:\n",
    "        print(\"working on unit neighbor lists for county\",c)\n",
    "    if c not in allFusedCounties:  #see a separate loop below for cluster-cluster neighbors\n",
    "        if c in unitCounties:    \n",
    "            u = allUnits.index(c+0.5)\n",
    "            for cc in neighborCountyList[c]:\n",
    "                if cc not in allFusedCounties:\n",
    "                    if cc in unitCounties:\n",
    "                        unitNbrs[u].append(allUnits.index(cc+0.5))  #we'll catch the complement in the cc county's loop\n",
    "                    else:\n",
    "                        for uu in countyUnitList[cc] :\n",
    "                            if countyGeom[c].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu)\n",
    "                                unitNbrs[uu].append(u)\n",
    "            for i,geo in enumerate(CCBgeom):\n",
    "                if geo.intersects(countyGeom[c]):\n",
    "                    unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                    unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "        else:  #non-unit county      \n",
    "            for u in countyUnitList[c] :\n",
    "                for uu in list( set(countyUnitList[c]).difference({u}) ) :\n",
    "                    if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                        unitNbrs[u].append(uu )  #will catch complement later in this county's loop\n",
    "                for cc in neighborCountyList[c]:\n",
    "                    if cc not in allFusedCounties and cc not in unitCounties: #see an above block for handling unitCounties\n",
    "                        for uu in countyUnitList[cc]:\n",
    "                            if unitGeom[u].intersects(unitGeom[uu]):\n",
    "                                unitNbrs[u].append(uu )\n",
    "\n",
    "            for u in countyUnitList[c] :\n",
    "                for i,geo in enumerate(CCBgeom):\n",
    "                    if geo.intersects(unitGeom[u]):\n",
    "                        unitNbrs[u].append(allUnits.index(i+0.25) )\n",
    "                        unitNbrs[allUnits.index(i+0.25) ].append(u)\n",
    "                if len(unitNbrs[u]) == 0:\n",
    "                    print(\"ERROR - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has no neighbors\")\n",
    "                if len(unitNbrs[u]) == 1:  #after fragmentation, this unit appears surrounded.  Next block to confirm it has non-intracounty neighbors                       \n",
    "                    print(\"WARNING - unit\",u,\" = vtd\",allUnits[u],\"in county\", c,\"has only 1 neighbor=\",unitNbrs[u],\". Optional triage in next block\")\n",
    "                    sketchyList.append([u,unitNbrs[u][0] ] )\n",
    "\n",
    "CCBunits = CCBlist.copy()                        \n",
    "for i, geo in enumerate(CCBgeom):  #this loop: only cluster-cluster intersections.  Cluster-vtd and cluster-county neighbors already found above.\n",
    "    for ii in range(i+1,len(CCBgeom) ) :\n",
    "        if geo.intersects(CCBgeom[ii]):\n",
    "            if STATE != \"WA\" or i * ii != 3 :  #In WA, we don't allow ferry connection of Island to Clallam+Jefferson\n",
    "                unitNbrs[allUnits.index(i+0.25) ].append(allUnits.index(ii+0.25) ) #all CCB-county, CCB-vtd intersxns already covered\n",
    "                unitNbrs[allUnits.index(ii+0.25)].append(allUnits.index(i+0.25) )\n",
    "print(\"All done creating unit lists\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "94741893-6835-45ac-9793-64cbaf4823b2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sketchy unit 1529 has neighbor list [1489, 0]\n"
     ]
    }
   ],
   "source": [
    "for L in sketchyList:  #hope that some of these flagged units picked up unit-county or CCB neighbors\n",
    "    print(\"sketchy unit\",L[0], \"has neighbor list\",unitNbrs[L[0]])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "cb4277b4-d6ef-4c8c-aa23-6fde227379ff",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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23vt8cqastLS0BqqpEELoT2ULi34TFrklJHQjNLYF9iNFZCQcYN68eYwaNYrw8PBLPt9ut1NeXs4bb7zBiBEjAPj8888JDQ1l7dq1xMfHc//995OcnMz1119PudWKl6srjz35JLNmzcJgkPxdCNF8qaoqLSxCXIrw/h1BtfP7mgRWr17Nfffd59gXGhpKWVkZubm5Vc7JyMhw9HkJCwsDoFOnTo79QUFBBAYGkpKSAlQuaf/vf/+b0zt2sDqqDYdXrKBv374AtGnTpj6rJ4QQ+qbfXAWQhEXoiNnfgmdFDp//+B3BwcGMHj3asa9Xr164uLiwZs0ax7b9+/eTkpJC//79ARg4cKBj+1nZ2dlkZWURGRlZ5VouXl6EuLjgQmUrTP/+/QkKcu56RUII0ZjovYVFbgkJXfFxK+HHnb9w38P3YjL98fL08fHh3nvvZdq0afj7+2OxWHjkkUfo378//fr1AyA6OpqbbrqJKVOm8O6772KxWJg+fToxMTFce+21AGRlZbF48WIGX3MN+4A5zz/Plxs2sH79ei2qK4QQulE5DYskLEJckqPFBzldlMXEP/252r7XX38dg8HA2LFjsVqtxMfH89Zbb1U55uOPP2bq1KmMHj0ag8HA4MGDWbFiBS4uLo5jPvroIx5//HHspaX0Kilm3bp19OnTp97rJoQQeqaqqqzWLMSluvHm63A1X4tfQfX/NW5ubsydO5e5c+fWer7FYmHevHnMmzevxv2BgYGOYdDpz/2Tos2baXumD4sQQjRrKrq+JSR9WISuhA/sBKqdlE0H6/1a5uhoyo4eRbXZ6v1aQgj9ad26dbWlQOpjOZAff/yRfv364e3tTVBQEGPHjq0yA7de6P2W0BUlLC+++CKKovDYY485tqWnp/PnP/+Z0NBQPD096dmzJ1999dUFy3n22WervWBiYmKuJDTRSLkH+hCoZpC8t/5XTjYFBoDdji0vr96vJYTQn4SEBNLS0hyPVatWAVRZDmTZsmV8+eWXrF+/npMnT3LLLbdUKeO1117j6aef5sknn2T37t2sXr2a+Ph4x/4jR45w0003MXToUJKSkvjxxx/JysqqVo4eqPYmeksoISGBd955p8q05wB33XUXubm5fPvttwQGBrJgwQLGjx/P1q1b6dGjR63lde7cmdWrV/8RmEnuVjVX0d192bjDndO7jhIQ27reruPSqhUApbv34HX1oHq7jhBCn84fGVgfy4EkJiZis9l4/vnnHXM9Pf7449x0002Ul5dX6V+nNbUp3hIqLCxkwoQJvPfee/j5+VXZt3HjRh555BH69OlDmzZtmDFjBr6+viQmJl6wTJOpcg2Zs4/AwMDLCU00AZ1uvxqDrYzdX/1Wr9cxt2+PKTiY4t/q9zpCCP2rr+VAevXqhcFgYP78+dhsNvLy8vjkk08YNmyYrpIVQPerNV9WwjJ58mRGjx5d5Rd51oABA/jiiy/Izs7GbrezcOFCSktLGTJkyAXLPHjwIOHh4bRp04YJEyY4JvqqidVqJT8/v8qjIZ3esZ0Di7+h6ETqxQ8WdWb2txBuzuJwioLdXn8rhyqKAgYDKDpuAxWiCVF0fL+hvpYDiYqKYuXKlTz11FOYzWZ8fX05fvw4ixYtasjqXRIVoCm1sCxcuJBt27Yxe/bsGvcvWrSI8vJyAgICMJvNPPjgg3z99de0a9eu1jL79u3Lhx9+yIoVK/jf//7HkSNHuPrqqykoKKjx+NmzZ+Pj4+N4RERE1LUal82ancXi/51g1WpvPv7nHtb+6wNy9+9rsOs3FzFXt6LIJYATa7fX2zXKMzKoSE/HHB1db9cQQjQOV7ocSHx8PP369ePzzz/n4MGDrF27FqhMfO6//34mTpxIQkIC69evx9XVlVtvvbVyGLGeNKVOt6mpqUyZMoXPPvusyoq353rmmWfIzc1l9erVbN26lWnTpjF+/Hh27txZa7mjRo1i3LhxdO3alfj4eJYvX05ubm6tGej06dPJy8tzPM5tfqtvGdu2U6G6MXaSB317nOLIST8+e/04K/7xAZlbExosjqau3c39cS0vYPcPe+rtGrmLF2Pw9MRr8DX1dg0hxB9UVL7Y/wX/2fYfXb1ZHzt2rN6WA5k7dy4+Pj689NJL9OjRg2uuuYZPP/2UNWvWsGXLlnquWd1U9mHROora1SlhSUxMJDMzk549e2IymTCZTKxfv5433ngDk8lEcnIyb775Jh988AFxcXF069aNmTNn0rt37wvOnXE+X19foqOjOXToUI37zWYzFoulyqOhVJRWNvNZWrWi54N/4q6X4xk8MJtTOV58+X4B3zzxIalr16LW462M5sBodiEyoIiUXG8qSq31cg3roUO4deyI0du7XsoXQlQ1OqpyuY33d75PSUWJxtH8Yf78+fW2HEhxcXG1hVWNRiNAvd7yvhyVE8fpJ5E8X50Slri4OHbu3ElSUpLj0bt3byZMmEBSUhLFxcWVhdbwy6nLL6awsJDk5GRH9qon/u2jAEhL+B0Ak4cHsX8ez4TXb2FEfBGlZSa+/UJl8eOfkfzt99grKrQMt1HrfH0s5SYvDi7ZWC/lm6OisB45oqtPekI0ZXfH3s2LV78InOlDpgN2u5358+czceLEWpcDWbt2LYmJiUyaNKnW5UA2btzIrl27mDhxYpXlQEaPHk1CQgLPPfccBw8eZNu2bUyaNInIyMgLjpzVhL7yp2rqlLB4e3sTGxtb5eHp6UlAQACxsbHExMTQrl07HnzwQX777TeSk5N59dVXWbVqFTfffLOjnLi4ON58803H88cff5z169dz9OhRNm7cyJgxYzAajdxxxx1Oq6iz+HaIIcwrlV9XllB6KtOx3WAy0X7MDYx/9U5uuFXFxWRjxXJ3Pp+2mD0LFmMr0c+nicYibFAsXuVZ7Fh3Elu58xM/ty5dsJ0+TfkFOngLIZxLPdNHQi8dcFevXk1KSgr33HNPtX2vv/46119/PWPHjuWaa64hNDSUJUuWVDnm448/pm/fvowePZrBgwfj4uJSZTmQoUOHsmDBApYuXUqPHj0YOXIkZrOZFStW4O7u3iB1rBN9/Fpq5NTJTlxcXFi+fDlPPvkkN9xwA4WFhbRr146PPvqI6667znFccnIyWVlZjufHjx/njjvu4PTp0wQFBTFo0CA2b96sy9Vzi9PSUBQorPBnz5JV9HxwQpX9isFAq2FxtBoGGVu2sO27Ytb+3IrfNvxAt24ldL5tNK4+vtoE38gYDAb6jQhh9U/lrHl6ESNeutOp5XtcdRUYDBQnJOB63mrOQoj6cbZFUy8tLCNGjKi1ldUZy4EA3H777dx+++1XHGt90/tMt1ecsKxbt67K8/bt2190ZtvzpyReuHDhlYbRIE7vSOKbt4+i4svA3ul0Gjf6gseH9O3LqL59ydmzm9+XHGPztggSk34htkM2XcePwEOHt7z0psNtg8k5+jWJR0Lxe/0brpp6k9PKNnp5YW7fnpLtO/C99VanlSuEuDi9tLCIc6g0nxaWpqwsN4cf3t+Ph6uNG5+4tk7Jhl+nzgzt1Jk+x46y/cu1bN8XQtKs7XRq/QPdx12NpW37eoy88ev3xBhOP/YpCXtDiNpxmMCubZxWtnu3bpQkJTmtPCHEhentlpD4g6qi6063krBcol1ffE9hWSC3T2t92S0jXpGtGfj4JHqdymTXoh/ZvjuAXS8fpV3oL/S8uSeB3bs7N+gmpKxcxdVWhHdksFPLNVq8qahhMTMhhGh21Ca6llBzk5JcQavAk/hGj7zistyCguk9+c90Kyxg75fLSUr05ou3s4n0m0/P0e0JGzAAxSALaZ91ZHkCJ20t6N+jBLOPl1PLLty4EWNAgFPLFELUztFfRMdvjM2Wnidh4QpXa25O8ks88Qtw7o/LxcubrpNuY8JrNzJsWAEFJWa+/rSMJX/7lCPfr0CtsDn1eo2R3W5n45JDWMoz6f7QlSeL51LtdspTj2MZ6dxyhRC1k1tC+qWqqq4XP5QWlkvkYqjAWlo/g9SNrmY63HoT0bfYObZyNdtWqyxf5orfykX0HGCm/ZjRGF3N9XJtvds1byW5phDi490wmIxOLbvo11+xFxTgOXCAU8sVQtTOMUpIEhb9UfW9tJokLJcoNLiE42meqBU2FCe/cZ6lGAy0HjmC1iMhbcMGtn1fypq1IWz5ZRnde5bTadxoXLwbblZfrZUVlrB1czGhLlm0G/OnOp+vlhRT8Pkc8r75ltJTKgafAIwWCwaLBVSV4oQE3Hv3wl1vkzcJ0QzoZVizOIeq6PpWnSQsl6jdgCj2fKGStnEj4ddcXe/XCxs4kNEDB3J6x3Z+//ooG39rScLWdXTpmEvX8fG4h4TUewxa++317yg1+jL63s51Oq908ypyP/wv+ZsPYCtVcPMvw6d7DGrE1dgKCrAX5KOqKoEPPYj/xInSX0iIBiS3hPRL1XkTiyQslyikZw+ULxLIPnqK8AZcKy+gazeGde1G36OHSVq0nqQ9ISQ9u42OrdPpPv4aLFFtGy6YBlSQksmuY5608ckk5KrhFz2+4uQR8j94mdyVv2LNLMfopuLTry2+dz+CeftsCG8PNzzZAJELIS5ElsLQMZ3/aiRhuUSuPr5E+h9nZ6Ibne+sv9tCtfFu3Yar/96Gq05lsuOLFezYE8Cufx+mfdh6eo7pSUDX7g0aT337dc4qFHwZOHVErceo1hIKv3yTvA/nUnDSDVTwirYQNHEsXrc/huLpU3ng9tkNFLUQ4mIcLSw6/iTfbKmKzMPSVPQcHc2ST6xsnPMxAx+fpEkMbkHB9Hn4LnoU5LPny+UkbbNw4K1sIv3n0/O69oQPGqRJXM6U8ds+jhQF0611Ht4tqy/PYE1YTe6H/yVv435sJQpmHxPB/V3xmbkYU6vo6gUqCrr/6CCEEFqTmW6bjrCBA+m341M2b4+k+4lUPFtEaBaLi7eFbvfcTuyfrBxa+gPbNrjx9adlhC79mJ5DQ2g9YliDtwI5yy8fbMWtwp0+U693bLNlnST/w1fIW76GkpNlGM0qlqva4HPXQ7hdfYN8WhOikVBRpf+KTqmSsDQtEVd1YPP2AvKPpmiasJxldDXTYfzNRN9i49iq1WxbA8u/dcHvx8Y5JPrQ1xvIIJyr+5djcnel+Lv55C74iPzt6ag28GzrTYv/uxWvCY9h8PC+xFKVs6t6CSE0pqqqfMDQK53/mZSEpY4Cu3bHzbCco7+lEDZwoNbhOCgmI61HxdN6FJz89Vd+X/7HkOiuXa1EDemFb3SM1mFekK28go3fHcenvJSw/StI7jeV8nwVFwsEXt8Ln3sfxyVahiALIUS90XEuKQlLHWXv2UW53YzBpN+hsOGDBhE+aFDlkOilR9m8rSUbt53E4rKDyJaFtOoWQYtB/XDxutQWivpnPZXGppe/osClE712vsLpbYexdA3F5/Y/43HdRBTTFbxU5dOcELqhqnJLSLdUUPT71iYJS139/NkOfNxc6HXvrVqHclFnh0Rfk5/HiV83k7K9kKPHvdl5xIhx6QbCfdNo1c6NyAFd8Y3p2ODzkVQU5HF05RoOJp7maHYr7GoMLU/8RIc7u2GZ+BFGv+odbi+fzts6hWgmpA+LjkkflqYj7+B+0goiiB9ZhMnDQ+twLpmrxYeo6+KJuq5y/Zzc/ftI2bidYwdh81Y/NmzNwNtlD63CC4jsGk6Lq/vjavGpl1jsVivH16/l4KZUktPDKFd9CfYsYUC/AtrFX41n2LB6uKqO/wcK0cxUTk6mdRSiRioyrLmpyDl0FHAhrFc3rUO5bIrBgF/HTvh17EQ3oLywwNH6knLCk93HXDEs20KY5SSR7Vxo1S8W/9guV9T6otpsZGzZxMGf93EwNYASmw++Zh+6d8knenhHfNsPdV4Faw1Cv/8JhWhupIVFr2QeliajrKgUcMHo4a51KE7j4uVN65HDaX1mweLcA/tI2bCdlAMqv/3uz8Ztp/EyfU2rsDxadQkh4poBuPr6XVLZ2bt2cHB1IgeSPckvD8TDGEB0mwKih7YhqPu1DTdSQPqwCKEb0odFx1R9J5OSsNRBcGw0rE4jbcs2oq6L1zqceuEbHYNvdAxdgYriYk5u3ETK7/mkHPdgz3J3DMsTCPTIIDCwnKCWXgR2aEVA586ODryFx45w8McNHNijkFUahqshiLYtTnHtoDDCB97o9BWXL4lnMJza3/DXFUJUo0p/Mv2SW0JNQ37yQTYv2AS0Jn1/GlHXaR1R/TN5eNBqWBytznQryU8+SMqG38k4Wk5Gphv7UnyxbyxGYTO+5izMpnLSi8IxEkjr4JNcNayMyLhhGN3dtK1I7C3w1b2QuQ+C9T20W4jmQOZh0SeZOK4JOL0jiSX/O46r0UL/HmnE3Fj7+jZNmaVte2Lbtif2zPOK4mKyd+/i1IFjZKWUUFIMcX0KaBM/5JJvGzWImOvBrzUsfxwmLpNbREJoSG4J6Zmi62RSEpaLUCtsrPpgN95mhTEzR2L289c6JN0weXgQfFUfgq/qo3UoF+biBqNfg09vgU1vwoBHtI5IiGZLRWa61StF57eEdDxFjD4cWvY9p0vDGHJblCQrjVm7OBg4BVbOgA1vyKghITSiyv89/VLRdQu0tLBcROruUwS6FxDaf4LWoYgrNWwWKEZY9Qzkn4D4F8DQOBeIFKIxk1tCOqXq+zcjCctFVJQrmF0qtA5DOIOiwLCZ4NMClv8N8k/CLe+CS9MZpi6EEJdNRdf3XXQcmj54eCkUlMgbWpNy1X1w22dwcBV8fDMUZ2sdkRBCaE9V9HxHSBKWiwlpG0B+eSC5+/ZqHYpwppjr4O7vIOsAfHIzlORoHZEQQmhLBYNRv2mBfiPTidYjrsXLlE3Cwk1ahyKcrWXvymHOuanw+Z1QYdU6IiGE0I6qYNBxE4skLBfh4uVNu9YFHD/li72sXOtwhLOFxsIdC+FEInx0A2x+W2bFFaIeyUy3+qWqKoYrWDeuvuk3Mh2JjutGsc2XHR8v1joUUR9a9YU7vwCDqXLY89w+cHC11lEJ0WTJPCw6pSoY5ZZQ4xbUoyfd2h1j49ZAspJ+1zocUR/aXguTlsP0VGjRCzbP1ToiIYRoWCoYdTzVgyQsl6j/o3diVMo5umGX1qGI+uTiDh1vhJTNYJPh7EKI5kNRFYxyS6jxM7qaaRuWzq69HpQX5GsdjqhPIZ2hvBgK0rSORAghGo6K9GFpKmKHd6Sowo/037ZqHYqoT65elV/Li7WNQwghGojNbgPVgNEot4SaBJN75QRyLl4eGkci6pXRtfKrTUaFCSGahzJ7GQqK9GFpKmzWynk67OXSt6FJM7pUfrWVaRuHEE2UvlesaZ7KbGW678MiawnVweGNe3FVAgmM7aF1KBfVunVrjh07Vm37X//6V+bOnUtpaSn/93//x8KFC7FarcTHx/PWW28REhJS5fgPP/yQ1157jQMHDmCxWBg3bhxz51aOoHn22WeZNWtWtWt4eHhQVFRUPxVrCNLCIoTQgSUHl5BVkoVBMWBUjBgUg+Nx9rnjq+GP5woKiqKgoGBQDFWeK0rlNuCPfSgUlBegYMBk1G9aoN/IdOjoMVfatsjE1ddP61AuKiEhAZvN5ni+a9cuhg8fzrhx4wCYOnUq33//PV9++SU+Pj48/PDD3HLLLWzYsMFxzmuvvcarr77Kyy+/TN++fSkqKuLo0aOO/Y8//jgPPfRQlevGxcVx1VVX1W/l6pubT+XX0lxNwxBCNF8FZQXM3DgTLxcvTAYTNtWGXbU7Huc+d5aJ6r/w0PFisFeUsLz44otMnz6dKVOmMGfOHADS09P529/+xqpVqygoKKBDhw48/fTTjB079oJlzZ07l5dffpn09HS6devGf//7X/r06XMl4TldUZkXlgDbxQ/UgaCgoCrPX3zxRdq2bcvgwYPJy8tj3rx5LFiwgKFDhwIwf/58OnbsyObNm+nXrx85OTnMmDGDZcuWERcX5yina9euju+9vLzw8vJyPN++fTt79uzh7bffrufa1TPPwMqvhZnaxiGEaPaeHfAs8a3ja92vqmq1JEZFrdyOHVU97/szMw3b1T+en/36fdJBwrzDGqpqdXbZN6sSEhJ45513qryBAdx1113s37+fb7/9lp07d3LLLbcwfvx4fv+99gnXvvjiC6ZNm8bMmTPZtm0b3bp1Iz4+nsxMfb1heLkWUpjb+G4TlJWV8emnn3LPPfegKAqJiYmUl5czbNgwxzExMTG0atWKTZsq10xatWoVdrudEydO0LFjR1q2bMn48eNJTU2t9Trvv/8+0dHRXH311fVep3pldAF3PyjM0DoSIZocVZWp+S/F2ds2F/t5KUplR1kXowtuJjc8XDzwdPHEy9ULi6sFH7MPvm6++Lv5E+AeQKB7IIHugQR7BBPiGUKoZyhhXmGEe4VXzkCs4+5Fl5WwFBYWMmHCBN577z38/KreHtm4cSOPPPIIffr0oU2bNsyYMQNfX18SExNrLe+1117j/vvvZ9KkSXTq1Im3334bDw8PPvjgg8sJr97Y7AZ03B+pVkuXLiU3N5e7774bqGwFc3V1xdfXt8pxISEhpKenA3D48GHsdjsvvPACc+bMYfHixWRnZzN8+HDKyqp3Ri0tLeWzzz7j3nvvre/qNAz/NnA6WesohGiSpNPtxZ39GcnaS3+4rLffyZMnM3r06Cqf0M8aMGAAX3zxBdnZ2djtdhYuXEhpaSlDhgypsayysjISExOrlGUwGBg2bJjj0/75rFYr+fn5VR71zVZmJa8sgICW3vV+LWebN28eo0aNIjw8/JLPsdvtlJeX88YbbxAfH0+/fv34/PPPOXjwIGvXrq12/Ndff01BQQETJ050ZujaCYqBDJnVWAihjbMtLM7so9LY1TlhWbhwIdu2bWP27Nk17l+0aBHl5eUEBARgNpt58MEH+frrr2nXrl2Nx2dlZWGz2aqNTjn30/75Zs+ejY+Pj+MRERFR12rUWXleHipG3Lwb1xwsx44dY/Xq1dx3332ObaGhoZSVlZGbm1vl2IyMDEJDQwEIC6u8j9mpUyfH/qCgIAIDA0lJSal2nffff5/rr7++2u+x0WpzLaTvgFMHtI5ECNEMScJSXZ0SltTUVKZMmcJnn32Gm5tbjcc888wz5Obmsnr1arZu3cq0adMYP348O3fudErAANOnTycvL8/xuFC/Cmdx8fIG7FgLS+r9Ws40f/58goODGT16tGNbr169cHFxYc2aNY5t+/fvJyUlhf79+wMwcOBAx/azsrOzycrKIjIysso1jhw5wtq1a5vO7SCAjjeAdxisqzkxF0KI+nR2ResGvyWk4ztQdRollJiYSGZmJj179nRss9ls/Pzzz7z55pvs37+fN998k127dtG5c2cAunXrxi+//MLcuXNrHD0SGBiI0WgkI6NqB8dzP+2fz2w2Yzab6xL6FTO6u+NnziItuZhOFz9cF+x2O/Pnz2fixImYTH/8qn18fLj33nuZNm0a/v7+WCwWHnnkEfr370+/fv0AiI6O5qabbmLKlCm8++67WCwWpk+fTkxMDNdee22V63zwwQeEhYUxatSoBq1fvTKZwc0Xdi+B0a+Ch7/WEQnRJJwsOkmZXSZlvBgD0sJyvjq1sMTFxbFz506SkpIcj969ezNhwgSSkpIoLq5ce+X8xZOMRiN2e80/dFdXV3r16lXl077dbmfNmjWOT/t6Ed2hnIMnwsncmqB1KJdk9erVpKSkcM8991Tb9/rrr3P99dczduxYrrnmGkJDQ1myZEmVYz7++GP69u3L6NGjGTx4MC4uLqxYsQIXFxfHMXa7nQ8//JC7775b12tQ1FnSAji1F+JfkGRFCCfadHITVpuV0yWntQ5F1y51lFBzUqcWFm9vb2JjY6ts8/T0JCAggNjYWMrLy2nXrh0PPvggr7zyCgEBASxdupRVq1bx3XffOc6Ji4tjzJgxPPzwwwBMmzaNiRMn0rt3b/r06cOcOXMoKipi0qRJTqii83SfOIYjz3zNN/MqGJ61ktYjR2gd0gWNGDGi1he7m5sbc+fOdcxaWxOLxcK8efOYN29erccYDIYGuSXX4BLnQ/Qo6D9Z60iEaFLu6nwXz216jnd3vMv0vtNrPKagrACrzUqge2C9xXGq+BSHcg9RWlFKWlEad8Tc4bgNowdnY5EWlj84daZbFxcXli9fzpNPPskNN9xAYWEh7dq146OPPuK6665zHJecnExWVpbj+W233capU6f4xz/+QXp6Ot27d2fFihW668Bp8vTixmdGs+z570hcBa1Hah2RqDenD0G0/IKFcLZx0ePYmr6Vfdn7atx/MOcgk36cRJ41j3a+7Xh+0PN0DuhMflk+1gorKQUpdPTviIfL5Q+A2J+9n/tX3k+ONcexrZ1vO/qE6WuyUgUFO5KwnHXFCcu6deuqPG/fvj1fffXVBc85d3r3sx5++GFHi4uemf38CfCvIOu0y8UPFo2XyU0WPxSinrT3a8/a1LWk5qcSYak6yvP9ne/jafJkWq9pfLLnE27/7nY8TB4UVxQ7jmnn246n+z5N79Dedb72wZyDPLDqASrUCl4b8hpeLl78Y+M/+Ofmf/LF9V9cUSLkbAbF0LC3hPTTwFSjRjgNmvZMLgql5Q3b6Vc0MP+2kC7zsAhRH8ZFjyPIPYgx347hwVUP8uWBL6mwVwBwovAEvUN7c0v7W3jx6hcZ1GIQ17e5nntj7+WZfs/w5tA3cTO6MenHSSxLXlan6644soIJyycQ6B7I0puWMjxyOP3D+zOz/0yO5h9lwb4F9VHdy6YoitwSOockLJchoks4+eWBnPz1V61DEfWlw0g4tBoydmsdiRBNjo/ZhwWjF/Bw98pW9X9u+ie3f3c7P6X8RHpRuqPDaQf/Dvxv2P94pv8zPNbrMcZ3GM/giMF8NvozeoX04vvD31/yNdelruNvP/+NayOu5dPrPiXYI9ixb1CLQdzU9ib+s+0/ZBTpZ0kOAwZJWM4hCctliBw+jGCPE6xamE5RavVJ1EQT0HMiBEbD+8Ph2EatoxGiyfEx+3B37N28M/wdPh/9Oa5GV6asnUJGcQaxAbEXPNem2kgvSifUs+apL863LnUd/9jwD1p5t+LFq1/E3VR9ReKOAR0BeOKXJ+pcl8t1tlWpNgbF0ODzsOh5VJIkLJdBMRkZNeVqQOGbVzZiL2t8CyKKi3CzwD0rIKAt/Pq61tEI0aR1DuzMZ9d9xpIbl7B2/Fpui7ntgscnZSZxovAEY9uPBSrfZDed3ERqQfURi4VlhTz1y1MUlRfxaM9Hax0JNKHjBG5seyOJGYl8sKv+17FbtH8R/Rf05/XE2v++KIrSoAmE3td4koTlMnlFtmbw9d7kWIM58HXd7qOKRsLVE9x9obxxzW4sRGOkKArt/dpf0lBmb9fKNd2e3/I8j/z0CLd/fzsPrHqAR9Y8Uu3YAzkHKCgv4ONRHxPfOv6C5d7Y9kb83fz577b/klWSdcFjr0RxeTEvbHmBUlspP6X8VOtxBkVuCZ1LEpYr0PKaQQCU5JdqHImoF2tfgCM/Q299zQckRHMX4x/DjL4ziPSOpMxWRhufNlzd4moO5x2m3F61xftE4QkUFEI8Lz5NRt+wviwbswyjwcjXB7+ur/A5kHMAm2pjWKthFJQV1Hqc9GGpyqnzsDQ3Jg8PWvkdY/9uV7pVVGAwyY+zydj8Nvz8EgybBbFjtY5GCHGe22Juq3LraFnyMn458QvF5cX4mH0c2w/kHKCFV4tLnoTO4mrhuqjrWHRgEZNiJ2EyXPrfdVVVUVEdnYZrsza1csX7VpZWrE5ZjdVmxWysPvJURdXVZHZakxaWK9T7hg5klwbzyysfS1+WpmLf97DiCRjwCAx6TOtohBCXoFdIL9xN7vxt/d+qTPufXZpNkEdQncoa034M6UXp7M/Zf/GDz/HspmcZtHAQ7+98n+Ly4hqPWZa8jM/3fc7A8IFcFXoVAAeya14VvsEXPtR5biQJyxUKGzCAawbmsPtoBN/O+Izywtqb90QjkLEHljwAHW+EYc9pHY0Q4hKFe4Xz5tA3+T3zd4YtHsYTPz/BG9ve4LvD39HOt12dyvJxrWyh+WTPJ5Tbqn4Qtat2Xt36KtPWTeOHIz9QXF7Mryd+5aalN7Hk4BK8XLz4z7b/0HdBXz7b+xlQ2Wdl4b6FvLP9HZ769SmGRAzh1SGv0jesL5GWSO5cfidP/vIkJRVV+8upqqr7jrANSe5hOEHsn8fjF/kz330ezHezljD6mZtxtfhc/EShL8XZsPAO8GsNN/8PDJLPC9GY9Anrw4+3/sh3yd/x5YEvWXVsFXGt4pjWa1qdygnzCmNg+EC+P/w9XQK7MKHjBMe+ZcnL+HD3h0T5RLHq2CrMRjMV9gq6BnXluQHPcWPbGzmaf5S/rv4rryS8Qv+w/jz161PsPl05p9MNbW7gX4P+5bjV88KgF1h+ZDkL9i7AzejGswOedVxLbglVpah6HnR9ifLz8/Hx8SEvLw+LxaJZHGkbNvDtp/l065BJv8cmahaHuAy2cvj0lsqJ4u5fC36RWkckhLhCqnplb/gTvp9AcUUxi65fhIuxcjmWW7+9lRZeLfjP0P+QWpDKN4e+obiimL92+yterl6Oc0sqShjzzRhOFJ4A4I1r38BittAjuEeNfVzmJs3lw10fsurWVfi6+QLQ57M+PNrjUf7U6U+XXYe6mPf4L3QfFkGvka0b5HpQt/dvaWFxorCBA+my+UN27A+ia9pJPMLCtQ5JXKofn66cIO6ubyRZEaKJuNLWiaf6PsXt39/OMxufoU9oH1YeXcn+nP3cHXs3ABHeETzco+Y18NxN7rx0zUu8uvVVAtwDuLbVtRe81h0xd/DJnk94KeElrm97PVvTt1JSUdLgLSx6bsKQhMXJet51HftmbuTnt1YQP+tuFLmtoH97v4Pf3oHRr0HrQVpHI4TQic6BnRkQPoDvD3/P94e/x8vFiwe6PkB85IXnczmra1BXPhr10SUd6+/mz9N9n+apX59i2eFljlaYtMK0y46/rvR+90kSFidzCwrm6uFGVv7YmmMrV9N65AitQxIXoqqw7kVoMwSuulfraIQQOvPO8HdIzk1m/q75/KX7X2jh1aLernVD2xtwMbiwN3svf+n2F9akrKFvWN96u15jIwlLPWg/5gZ2/Pox29aoRI6wSyuLnmXugYydMGGx1pEIIXSqrW9bnh/0fINca2TUSEZGjQRgdJvRDXLNxkLeSetJ7/gw0goiSHznM61DERey73tw9Yaoa7SORAghtKfjPiySsNSTyBHDuarzcbZsb0HKqtVahyNqc3AltL0WTNVnmRRCCKEfkrDUo6sm/4lA9zR2rq2+gqjQgfSdcHwrdBildSRCCCEuQhKWeqQYDHTpbeZodgS5+/dpHY4435p/QkBb6DJO60iEEEJchCQs9Sz65pF4GvP5Zf4m7BUVWocjzirKgkOroP/DcGZCKCGEEPrtxCIJSz0zeXoR1TKXlNxIcvft1ToccdapfaDaIXKg1pEIIYQ+6HwiFklY6pm9ooIT6e608j2Gf2wXrcMRZ52dQrskW9s4hBBCXBJJWOpZ6k/ryLGGcNXNHbUORZwrJBZcPOHIL1pHIoQQ4hJIwlLPju9IxcuUTUifPlqHIs51bANUlIBngNaRCCGEbshaQs1YUaGKxb1IZrvVkt0Gu76Cvd9C1kEozoaizMrJ4ro3zCqoQgihd/ruwSIJS70zm+F0jqvWYTRf5aXw+e1weC207FO5ZpC7PwR3hA7XgVH+CwghRGMgf63rWWhbf3Yds5B/JBlLVFutw2le7Db46l5I2Qx3fVOZrAghhGiU5D5FPYuKH4K7MZ9f561HrbBpHU7zUVYMyx6F/cth3IeSrAghRCMnCUs9c/XxZcgoM0eyWvPDzI/I3JpA6alMTqxfR/buXVqH1zQlr4W3+sKOL+HGN6HDSK0jEkIIcYXkllADaHP9KEbxA+t/8OPL9wuAykQlwG07t8+J1Ta4pqYkFxZOgPDu8OellVPvCyGEuDid97qVhKWBtLl+FJHDSsnYupWS7DwO/naSlOxwVFVF0fnsgnViLYQdX4CtvOb9B38EN58zY+fUc8bQnfN9lX3nbFcUQAHFUPm9YgCDCQzGyq+KEXKOQHkxjJ0HlrB6raoQQoiGIwlLAzK6uRE+aBAAtpJFJK91p7y4DFdPs8aROVHyGvh+Gpjcq0/zrKqVc59YWkBg9Dn7lXOSkXO/ntlnMFR+Ra2cTt9eUfn13O/tFWceNhj9iiQrQgjRxEjCohGP4CBApSglGdeOnbQOx3nsZzoW/+0gmL21jUUIIUSd6HniOOl0q5HArrEYqCBl43atQxFCCCH03oVFEhatuAUE0Tb4GElJbqh6TmmFEEIIHZCERUNtO7pSWO5DSX6p1qEIIYQQuiYJi4Z820QCkHvgoMaRCCGEEOi6E8sVdbp98cUXmT59OlOmTGHOnDkcPXqUqKioGo9dtGgR48aNq3Hf3XffzUcffVRlW3x8PCtWrLiS8HTPJyYWhd/J/XUp4bmLqTo65hzVXkA1vKDOP8Zkhn5/BQ9/Z4UrhBCiKdP5FBuXnbAkJCTwzjvv0LVrV8e2iIgI0tLSqhz37rvv8vLLLzNq1KgLljdy5Ejmz5/veG42N6GhvrUw+QTi7VZEzqkK2PMtjjlHanzRnLet2jHnPFdtkHMUAtpBdPwf+84OGa5yvnJl358tS+cvdCGEEI3bZSUshYWFTJgwgffee4/nn3/esd1oNBIaGlrl2K+//prx48fj5eV1wTLNZnO1c5sDv3ZR5CpRMPk55xVamgcvtoKvH3RemXWlGLW7thBCiCbnshKWyZMnM3r0aIYNG1YlYTlfYmIiSUlJzJ0796Jlrlu3juDgYPz8/Bg6dCjPP/88AQEBNR5rtVqxWq2O5/n5+XWvhE74hnhwdGeWcwt184FJK6DoFLXOJlvle2o/xrGvDt97hYKrh1OrJIQQov7ptwfLZSQsCxcuZNu2bSQkJFz02Hnz5tGxY0cGDBhwweNGjhzJLbfcQlRUFMnJyTz11FOMGjWKTZs2YTRW/6Q+e/ZsZs2aVdfQdck3xIP8taXYKuwYTU7sAx3Z33llCSGEaPL0fme/TglLamoqU6ZMYdWqVbi5uV3w2JKSEhYsWMAzzzxz0XJvv/12x/ddunSha9eutG3blnXr1hEXF1ft+OnTpzNt2jTH8/z8fCIiIupQE/3wC/VAtavknSrBP8xT63CEEEIIXarTR/rExEQyMzPp2bMnJpMJk8nE+vXreeONNzCZTNhsNsexixcvpri4mLvuuqvOQbVp04bAwEAOHTpU436z2YzFYqnyaKzOZrTW4gptAxFCCCF0rE4tLHFxcezcubPKtkmTJhETE8MTTzxR5fbNvHnzuPHGGwkKCqpzUMePH+f06dOEhTX9BexKCipXNfYLlT4fQgghNKbjTix1Sli8vb2JjY2tss3T05OAgIAq2w8dOsTPP//M8uXLaywnJiaG2bNnM2bMGAoLC5k1axZjx44lNDSU5ORk/v73v9OuXTvi4+Mvo0qNzJkWFrtNx68SIYQQQmP1MtPtBx98QMuWLRkxYkSN+/fv309eXh5QORR6x44d3HjjjURHR3PvvffSq1cvfvnll2YxF0tQROWKxmmHcrUNRAghhNAxRW0CK+/l5+fj4+NDXl5eo+zPsmDWFkJaexM3sZPWoQghhGimPpq+gZj+YfS9sU2DXbMu79+ylpAOePmZyUkv1joMIYQQQrckYdFY1vECUvdk02VIS61DEUIIIXRLEhaNnUopAKBdr2CNIxFCCNGs6XziOElYNKbaK78ajDp/pQghhBAakoRFYx4+rgAUZJdqHIkQQgihX5KwaCwkygIKnDyQq3UoQgghmjk9DxyWhEVj7l6uBEV4k7o3W+tQhBBCNGOKzjuxSMKiAxEd/Ujdl6PrzFYIIYTQkiQsOtCyoz8l+WVkHS/UOhQhhBBClyRh0YHwdr64W1zZviZV61CEEEI0Zzpu6JeERQeMJgN9b4hi/+Z0fl+ZonU4QgghmiN9d2Gp22rNov50vroFBdmlbFxyCN9QD6K6BmodkhBCCKEb0sKiI31vbIO3v5us3CyEEEKcRxIWHVEUBVd3I2UlFVqHIoQQohnScRcWSVj0JqSNDycO5MoQZyGEEA1K0XkfFklYdKZdz2ByM4pJ3nZK61CEEEJcgN2uYrOr2O2qfMhsANLpVmciOvrTumsg6xbsw93bhRbRflqHJIQQ4jwFpeUM+vda8krKq2xXlMrBNoryx7yxldvOPDvni+L4XqlyLmfOP+dwzjv9j/0XOEc572SlWhlVr39zLpSn5dP/YpXXiCQsOhQ3sSMr3t3F0td/Z9jdnejQN1TrkIQQQpyjoLSCvJJy7h0URXSIF6pa2f+j8qvK2QYXlTMb+WN/5SbV0V/k7Llnt3PO9srz1POeX3j/H+fX7Tzr0lQy8/W7EK8kLDrk5unCDY9246t/J3Jk+ylJWIQQQqeuiQ5icHSQ1mE4xcvfHsemdRAXIH1YdMpoNBDa1ofsk0VahyKEEEJoThIWHQsI9yQ3s4SKcj3nvEIIIUT9k4RFxwJaeqHaVU4fl1YWIYQQzZskLDoW1Mobk6uBEwdztA5FCCGE0JQkLDpmNBoIa+fLif25WocihBDiHHqfZO1yqDqvkyQsOtci2pe0Q7nYbHatQxFCCCE0IwmLzrXqFEC51cbxfXJbSAghRPMlCYvOBUZ4YTAo5J8q0ToUIYQQTZ2OVxiQhEXnFEVBMSrYKuSWkBBC6I2sIdRwJGFpBIIivEk/nKd1GEIIIc74Y6Ug0VAkYWkEWsb4cWJ/LqpdMnkhhBDNkyQsjUDLDn6UFpWTdaJQ61CEEEKcQz5GNhxJWBqBkDYWjC4GTuyXkUJCCKEHTXEeFr2ThKURMLkY8Q12l5FCQgihN9LE0mAkYWkkPH3NFOZatQ5DCCGE0IQkLI2Ep6+ZIklYhBBC1CcdtxhJwtJIuHu7UlJQrnUYQgghwDGoWdXzO3wTIwlLI+HqZqTMWqF1GEIIIYQmJGFpJFzdTJSX2rQOQwghxDlkotuGc0UJy4svvoiiKDz22GMAHD16tHIq+RoeX375Za3lqKrKP/7xD8LCwnB3d2fYsGEcPHjwSkJrclzcjNhtKrZymaJfCCE0J8OaG9xlJywJCQm88847dO3a1bEtIiKCtLS0Ko9Zs2bh5eXFqFGjai3rpZde4o033uDtt99my5YteHp6Eh8fT2lp6eWG1+S4mk0AcltICCF0pCm1sOi9KpeVsBQWFjJhwgTee+89/Pz8HNuNRiOhoaFVHl9//TXjx4/Hy8urxrJUVWXOnDnMmDGDm266ia5du/Lxxx9z8uRJli5delmVaopc3IwAcltICCF0QNYSaniXlbBMnjyZ0aNHM2zYsAsel5iYSFJSEvfee2+txxw5coT09PQqZfn4+NC3b182bdpU4zlWq5X8/Pwqj6bubMJSnF+mcSRCCCHO0nurRFNiqusJCxcuZNu2bSQkJFz02Hnz5tGxY0cGDBhQ6zHp6ekAhISEVNkeEhLi2He+2bNnM2vWrDpE3fjZyir7rhhdpJ+0EEJorSlOza+g7wSsTu9+qampTJkyhc8++ww3N7cLHltSUsKCBQsu2LpyuaZPn05eXp7jkZqa6vRr6E1pceUcLF5+Zo0jEUII0XTpN2WpUwtLYmIimZmZ9OzZ07HNZrPx888/8+abb2K1WjEaK29dLF68mOLiYu66664LlhkaGgpARkYGYWFhju0ZGRl07969xnPMZjNmc/N64y7MsWI0GXDzdNE6FCGEaPYcE8c1oV63qs5bjerUwhIXF8fOnTtJSkpyPHr37s2ECRNISkpyJCtQeTvoxhtvJCgo6IJlRkVFERoaypo1axzb8vPz2bJlC/37969jdZquohwrnn5mlKbYDimEEI2M/C1ueHVqYfH29iY2NrbKNk9PTwICAqpsP3ToED///DPLly+vsZyYmBhmz57NmDFjHPO4PP/887Rv356oqCieeeYZwsPDufnmm+teoyaqtKgcdy9pXRFCCD1pOu0r+lfnTreX4oMPPqBly5aMGDGixv379+8nLy/P8fzvf/87RUVFPPDAA+Tm5jJo0CBWrFhx0X4yzYliVLDb5L+GEELogbSvNLwrTljWrVtXbdsLL7zACy+8UOs559/zUxSF5557jueee+5Kw2myzO4mykpk0jghhNCTJtSFRfdkjGwjYfYwYS2WhEUIIfQgs8CqdQj1Q8cJmCQsjYSXnxulReWUFpVrHYoQQjR7S5NOANDC113jSJxMx/e6JGFpJMLb+wKQuidb20CEEEJQUmYjJtSbLi19tA7FuaSFRVwpb383giO9+X1VCuVWWU9ICCG0VGStwMPVePEDGxUdN68gCUujMvjODuRkFLNy3u4mNVmREEI0NsXlNjzN9TLQVtRCEpZGJDjSwrCJHTm6I4vMowVahyOEEM1SZkEpe0/mN8EWFn2ThKWRieoWiKubkdS9p7UORQghmh1VVfm/Rds5nlPCbVdFaB1OPdDvbSFJWBoZg9FAyxh/UqTzrRBCNLjPtqTwy8Es/ntnD4bGhGgdjlPpvaOBJCyNUHh7XzKPFaDa9f7yEkKIpmVfej4ABllLqMFJwtII+YV6YCu3U5BdqnUoQgjRrIzoFApAuc2ucSTNjyQsjZBviAcAORnFGkcihBDNx960fKYtSiIq0JPhnZrW7aDGQBKWRsjb3w2ji4HcdElYhBCioWxPzSWrsIx3/9wLF2PTfPvU842upvkTb+IUg4JvsAe/r0qR+ViEEKKBBHmbAXBzkeHMWpCEpZHyC/WgKNeKrVzuowohRH3ILS6j0Fq56OzWo9nc+9FWoHIeFtHwZJq+Rqr9VSEcSsykvMyGSSYvEkIIp0o8lsPY/20EoFuEL8VnEpfbr4qgW0tfDSNrviRhaaRcziQp5aU23L00DkYIIZoAVVXZmHyaY6eLeWXlfswmA3f0acXa/ZkcO13MtOHRPBrXXuswmy1JWBopF7czCUuZLIQohBBXIq+knEUJqXiYjTz99S4ABrUL5L939MDP05WZaidSs0to6eeucaTNmyQsjZSLuTJhsRZXaByJEEI0Tkeziqiw23lqyS5+O1o5e7inq5HNT8Xh7ebiOE5RFFoFeGgVpjhDEpZGyifYHYNBIftEIeHtfLUORwghGpVVezK4/+PKTrSBXmbe/lNPzC5GokO8qyQrzYmKquthzZKwNFImFyP+LTzJTJFVm4UQoq5Mhsq35gcHt+GRoe3xMsvbYSX9TpUhw5obseBW3mQek4RFCCHqakC7ALzMJjxdTZKsnEPPLSySsDRiQZEWsk8WUSEdb4UQok7MJiPXxgTz4+50rUMRl0gSlkYsONIb1a6SdbxQ61CEEKLRie8cwu6T+aRmyzInjYEkLI1YQLgXBqMit4WEEOIyDOkQjKIgrSyNhCQsjZjRxYB/uCenjuVrHYoQQjQ6JoOCqkJGvky1D+i7AwuSsDR6iqKAQeevMiGE0KGk1FwAekX6aRuInuh3kJAkLI1dYU4plgA3rcMQQohG51BmZf+//m0CNY5ELxQ95yuSsDR2Jlcj5aUySkgIIerqmvZBKAp8uuWY1qGISyAJSyMX0MKL0ydllJAQQtRVqwAP+kUFMHftITILpB8LgKrjJhZJWBo5bz8zRblWrcMQQohG6V9jYnF3MfL8d3u1DkVchCQsjZzBZMBu03FKLIQQGistt7FqTwZvrTtEyumqc64EeJk5XVTG4awLt1S3bt0aRVGqPSZPnlx5jdJSJk+eTEBAAF5eXowdO5aMjIxq5Xz44Yd07doVNzc3goODHeefpaoqr7zyCtHR0ZjNZlq0aMG//vWvK/wJXJrK4Rv6fT+R+YgbOVc3I2UlsmKzEKL5yisu55WV+zEZFf4ypC3B3pUDEawVNl78YR+LElIpKrPhYlR47+fDPHVdR37cncGRrELaBXsBMLxj6AWvkZCQgM32R3/BXbt2MXz4cMaNGwfA1KlT+f777/nyyy/x8fHh4Ycf5pZbbmHDhg2Oc1577TVeffVVXn75Zfr27UtRURFHjx6tcp0pU6awcuVKXnnlFbp06UJ2djbZ2dnO+DFdEj3fEpKEpZEze7hgLZaERQjRfM36bjff70jDw9XI9zvSeHp0R4Z3CuHvi3ewcncGDw1py03dwwn0NHP3h7/xt8U7aBPoicXdhR93V7aCTBnW/oLXCAoKqvL8xRdfpG3btgwePJi8vDzmzZvHggULGDp0KADz58+nY8eObN68mX79+pGTk8OMGTNYtmwZcXFxjnK6du3q+H7v3r3873//Y9euXXTo0AGAqKgop/yMLomi5/YVSVgaPbOHiYpyO7ZyO0YXucMnhGg+bHaVb5JOsGTbCV4Y04VhHYOZsXQXUxYmOY55a0JPrusS5nj+5YP9OZ5TQoS/BwBfbTuOxa1ub4VlZWV8+umnTJs2DUVRSExMpLy8nGHDhjmOiYmJoVWrVmzatIl+/fqxatUq7HY7J06coGPHjhQUFDBgwABeffVVIiIiAFi2bBlt2rThu+++Y+TIkaiqyrBhw3jppZfw9/e/gp9U0yAJSyNn9qj8FVpLKvBwcdU4GiGEaBjHc4qZvOB3tqfmMqxjCLdfFYHBoPDuXb3ZcTyXI1lFhFrc6NsmoMp5JqOB1oGejufje0fU+dpLly4lNzeXu+++G4D09HRcXV3x9fWtclxISAjp6ZXT/h8+fBi73c4LL7zAf/7zH3x8fJgxYwbDhw9nx44duLq6cvjwYY4dO8aXX37Jxx9/jM1mY+rUqdx666389NNPdY7zsui4iUUSlkbO7OECgLW4HA+LJCxCiKbvQEYB49/ZhKeriUUP9ueq1n6Vs36f0bWlL11b+tbb9efNm8eoUaMIDw+/5HPsdjvl5eW88cYbjBgxAoDPP/+c0NBQ1q5dS3x8PHa7HavVyscff0x0dLTjWr169WL//v2O20T1Scf5iowSauxc3f9oYRFCiObg5R/34+PuwvePDqJPlH+VZKW+HTt2jNWrV3Pfffc5toWGhlJWVkZubm6VYzMyMggNrezMGxZWeVuqU6dOjv1BQUEEBgaSkpLiOMZkMjmSFYCOHTsCOI6pT3ofJXRFCcuLL76Ioig89thjVbZv2rSJoUOH4unpicVi4ZprrqGkpKTWcp599tlqQ8ViYmKuJLRmw3Sm34qt3K5xJEIIUb9sdpVFW1NZtSeDR4a2x9ej4VuV58+fT3BwMKNHj3Zs69WrFy4uLqxZs8axbf/+/aSkpNC/f38ABg4c6Nh+VnZ2NllZWURGRjqOqaioIDk52XHMgQMHABzH1Dv95iuXf0soISGBd955p0oPZ6hMVkaOHMn06dP573//i8lkYvv27RgMF86NOnfuzOrVq/8IzCR3qy6FURIWIUQzMWPpLj7/LYVhHUO4uful345xFrvdzvz585k4cWKV9ygfHx/uvfdepk2bhr+/PxaLhUceeYT+/fvTr18/AKKjo7npppuYMmUK7777LhaLhenTpxMTE8O1114LwLBhw+jZsyf33HMPc+bMwW63M3nyZIYPH16l1aXeNMVRQoWFhUyYMIH33nuP559/vsq+qVOn8uijj/Lkk086tl3KfTeTyeRoOhOX7mwLS4UkLEKIJuzb7Sf5/LcUXhjThTv7ttIkhtWrV5OSksI999xTbd/rr7+OwWBg7NixWK1W4uPjeeutt6oc8/HHHzN16lRGjx6NwWBg8ODBrFixAheXyr6IBoOBZcuW8cgjj3DNNdfg6enJqFGjePXVVxukfqDvhOWybglNnjyZ0aNHVxnCBZCZmcmWLVsIDg5mwIABhISEMHjwYH799deLlnnw4EHCw8Np06YNEyZMaJD7dU2Bo4WlQhIWIUTTdDynmKeW7OTGbuHc0afuo3qcZcSIEaiqWmNrh5ubG3PnziU7O5uioiKWLFlS7UO4xWJh3rx55OTkcPr0aZYsWeIY0nxWeHg4X331FQUFBaSnpzN//vwGHNKs7yaWOicsCxcuZNu2bcyePbvavsOHDwOVfVLuv/9+VqxYQc+ePYmLi+PgwYO1ltm3b18+/PBDVqxYwf/+9z+OHDnC1VdfTUFBQY3HW61W8vPzqzyaK7klJIRo6pb+fgJVVfnXmNgG7WAr9KVOCUtqaipTpkzhs88+w83Nrdp+u73yTfPBBx9k0qRJ9OjRg9dff50OHTrwwQcf1FruqFGjGDduHF27diU+Pp7ly5eTm5vLokWLajx+9uzZ+Pj4OB7nZ6jNicGgoChyS0gI0XSl5ZXSOtATbzcXrUNp8vQ8NX+dEpbExEQyMzPp2bMnJpMJk8nE+vXreeONNzCZTISEhABVh21B5bCsutzi8fX1JTo6mkOHDtW4f/r06eTl5TkeqampdalGk6IoCkYXg7SwCCGaLJNBobTcdvEDxRXR+7DmOnW6jYuLY+fOnVW2TZo0iZiYGJ544gnatGlDeHh4lWFbUDksa9SoUZd8ncLCQpKTk/nzn/9c436z2YzZbK5L6E2a0cUgfViEEE2Sqqr8cjCLXpF+WofS9On8bludEhZvb29iY2OrbPP09CQgIMCx/W9/+xszZ86kW7dudO/enY8++oh9+/axePFixzlxcXGMGTOGhx9+GIDHH3+cG264gcjISE6ePMnMmTMxGo3ccccdV1q/ZsFkMsgtISFEk3Qws5DDWUU8c32nix8srph+21fqYWr+xx57jNLSUqZOnUp2djbdunVj1apVtG3b1nFMcnIyWVlZjufHjx/njjvu4PTp0wQFBTFo0CA2b95cbXVMUTO5JSSEaKr2nKwcVNFTWlgaho4zlitOWNatW1dt25NPPlllHpbzHT16tMrzhQsXXmkYzZrRxSgJixCiSdp9Mo8If3d83KXDbUPQcb4iix82BYoCdj137RZCiMtUWm7HbDJqHUaz4Flkx7NIvx9+ZfHDJsBuUzGa5FcphGhaVFXFoEB6XqnWoQgdkHe5JsBWYcdo1Hn3biGEqKNZy/bw0aZjDGwXoHUozUJegIlcT/2+l8gtoSbAVmHHIC0sQogm5ERuCZ9sPsYjQ9sxbXgDLPwnMOZVYGrloXUYtZKEpQmwV6gYTfrNioUQoi7W7svk71/twM/DhQcHt5Xp+BtAWkYRnhUqPhHeWodSK/lY3gSUl9kwuUqnNCFE0/DKyv2EWtxY/NAAvMzyubohfP7xLlRg8DX6XepGXgmNnN1mx1Zux9VNEhYhROP125Fsvv79BKCy+2Q+T1/XkdaBnlqH1Sxk5ZTgklyI2smHVi0sWodTK0lYGrmy0sr1NVzkU4gQopEqq7Dz6Oe/k11cRkyoNwPaBjAyNlTrsJoNq9WGAQW/FvpOEOVdrpHLTisCwCfYXeNIhBDi8qzYnU56fimrpl5D+xD99qFoqkIDPchT7BSvPslL+3P5y6O98PZy1TqsaqQPSyN36lgBRpMB/3B9Z8ZCCFGbvWn5tPB1l2RFI0aTgS53dcDawg33lGI++nDnxU/SgCQsjVzG0XwCI7wwGuVXKYRofHKLy1i2/STRIV5ah9Ks3dA/ghkzBlLgbqAoW58T9cm7XCOXfjiP0DY+WochhBCX5ZeDWRzPKeGRuPZahyIA1c2IPctKbr5V61CqkYSlESvKs1JwurTGhKWkoIzNS5NJO5Tb8IEJIcQlGtguEIBDmYUaRyIAho5tj3uZyntP/srmbWlah1OFJCyNWPrhPABC21QfhrZvUzqJK47xw7u7qCizNXRoQghRK1VV+SbpBHd98BsPfLwVAIubjAHRg/69wxj5eA9URWHt0mStw6lCEpZGLCu1EA8fV7z83KrtKyksA6C0oIyty4+i2mU1ZyGEPny7/SRTFiZRXmEnxOLG4yOiGdFJhjHrRXQbXxRUXL30lUTqKxpRJwXZpVgCKpMVu12losxGRZmdstIKCs90mmrTI5jEFcc4uDWDIX+KISLG/5LKrii3seOn47iYjXS6OvySOvXaKuzs35zOjnXHcXUz0j2uFW16BF1+BYUQTc7+9AL++d1eru0QxPxJfbQOR9RAtYNBhdJTpZSVVeDqqo9UQVFVtdF/9M7Pz8fHx4e8vDwsFv3O0udsG746RNLqFAxGBXtF9V+jd4AbE2b14+ShXLatOMbJg7ncNLUH4e18ay1TVVXSDuWy7rP95J0qwW5X8Qv15Orb2uMX4sn+LWmcOlaA2dMFdy8XzJ4ulBaVk5dZzPF9OViLK2jTPQhrSQUnD+QQd3cnOvSVT05CiEoPfZLIzhN5LJ08kCBvs9bhiFosX3WYQ18dwdTNj7/+pWe9Xacu79/6SJvEZek2tCUeFleMJgMmVwMmFwMubiZczEZc3Yx4B7hhNBmIiPEnvL0v385J4sd3dzH+6avw9PnjD4XdZufI9iwO/JbByUO5lBaWExJl4ban+2CrsPPLFwf4dk4SKJXj9UPbWMg/XUppYTklReW4eZrwCXSny5CWtO8dgn+4J3a7ytqP9/LTx3sJauWNf5jMEyNEc6OqKkdPF7PhUBabkk+TlJrLidwSXhrbVZIVnbtueBv+vSkNdudqHYqDtLA0I0V5Vha9kICrm4nQNha8/NwwGBX2bkijILuUkCgLER0rk5sWHfwwGCpXSFVVlcO/n8JaUkHbnsGY3S8tz60ot/HF8wm4e7kw5v96ohhkxVUhmjq7XeWtdYdYt/8Ux3NKSM8vxWhQ6B7hS89WvgxoF8i1HYK1DlNcgq++PUD68uOMeLIn7Vv71ss1pIVF1MjTx8zov3Zl248p5KQXk7onG2txZRLSLS6CoFY1zzKpKApte9b9D4zJxciQCR1Y+trvHEjIkFtDQjRxBaXlTP1iO2v2ZTCiUwi9W/vTJ8qPPlEBsupyI9S7ZyjfLT9O0u8Z9Zaw1IW8gpqZ4EgLIx+IbbDrtYj2w83LhcIcfc6cKIRwjqTUXB5esI284nLmTezN0JgQrUMSV+jU6WIAfHyrj0TVgiQsot5VlNkwuRi1DkMIUU9UVeWJxTuwuLnwyb19iQqUPmtNwbaEdCpQGdAnTOtQAJmHRdQz1a5SUWbHxSwJixBNVcLRHPZnFPDUdR0lWWlCivPLUBVIP1WsdSiAJCyinlWU2wEwudb9pXb491N8/twWFj7/G9+/tYPNS5Mpl1l7hdCdrceyATAZpWN9U3LLbTGUGRS+eON3yivsWocjCYuof4pBIeNI/iUfX5hTyvL/7eCHd3bi5WcmNMqC3WZn+5pUvn9zO8X5ZfUYrRCiru4e0JoBbQO458MEWROoCWnVwkKfO9vjW6zy/vtJWocjCYuoXy5mIwPHtmPH2uPsXHf8gseqqsr+Lel8PmsLGUfyib8/lusf7saQCTHc8Eh3bni0G9lpRSz612+yqKMQOuLhauL9ib0JtbgxbVES5TbtP40L5xgyMIL8YBfsSbls25mpaSySsIh61y0ugm5DI/jliwPs2XCSmqb+Kcqz8t1/t7N6/h4iuwRyx8y+tOsVjKL80cQc3t6P257ugyXInaWv/c6Kd3ZyUhIXIXTBw9XEa7d1Z9eJPD7aeFTrcIQT+bX0AqCwUNvWbRklJBrEgFvbYS0uZ+0n+9j24zH8wypnwzW5GDAYDRzbdRqji4HrH+5GZGxAreV4+pq5aWoPfvv2MNt+TCH591O4mI30vq41PeMjG7BGQojzdY/w5Y4+rfjPmoOM6dGCAC+ZzbYpyNmZg93PxKC+4ZrGIS0sokEYDApxd3di9OSuRHT0x1ZuR1EUykoqKDhdSudB4dw+o88Fk5WzjEYD/ce0445/9AWg3Gpj09fJJHx/pL6rIYS4iGnDo1GA11Yd0DoU4QTlFXZMNhU3P1cMBm1TBmlhEQ2qdZdAWncJdEpZ/uGePPTfIdgq7OxYe5wt3x5GURR6X9faKeULIeouwMvM/Ve34b9rDzHzhs64muRzcWP24Uc7cLdD5wHatq6AJCyikTO6GDC6GOh9XWtUVWXLt4fZ8u1hUCCghRfjn7rKsSaSEKJhtA32oqzCTlahlXBfd63DEVcgc18uip+Jawe10joUuSUkmo6u17b844kKp48XsvTVbdoFJEQzNbBtICaDwpq9GVqHIq5AYXE5HoU2PIL0kXRKwiKaDLOHC97+Vde8CG3jo1E0QjRfPh4u9G8bwIrd6VqHIi7Tug3HeX/az7iqCj36a387CCRhEU3MXS8MYMR9nVEMCpZAN7rFRWgdkhDN0sjYUDYfzianSCZ6bIy2b03DBYWBj3RhcP+WFz+hAUjCIpqc9r1DGP/UVZSV2Ej84ajW4QjRLI3oFIrNrvLzwVNahyIuQ4fYysERa+buYPO2NI2jqSQJi2iSAlt60S0ugj0b0ijKs2odjhDNToCnK65GA9nSwtIojYyLotOf2lFuVPjpk33Y7drPXiwJi2iyYq9pga3CzokDOVqHIkSzcyK3hDKbXVZvbsSuHdSK1oPD8SlROZFepHU4krCIpsvNywV3iyu56fpYGl2I5qS0vHJldXcXo8aRiCvRvr0fAJu3nNQ4kitMWF588UUUReGxxx6rsn3Tpk0MHToUT09PLBYL11xzDSUlJRcsa+7cubRu3Ro3Nzf69u3Lb7/9diWhCQGAX4gHmSkFWochRLMT4e8BwOEs7T+Zi8vXo0sQuZ4KBzZo34/lshOWhIQE3nnnHbp27Vpl+6ZNmxg5ciQjRozgt99+IyEhgYcffviCU/p+8cUXTJs2jZkzZ7Jt2za6detGfHw8mZnargwpGr8O/UI5tvM0x3ad1joUIZqVDzbIUhlNgcFgwD3ME7ciG+UV2vZjuayEpbCwkAkTJvDee+/h5+dXZd/UqVN59NFHefLJJ+ncuTMdOnRg/PjxmM21L4L12muvcf/99zNp0iQ6derE22+/jYeHBx988MHlhCeEQ8cBYbTq5M/PXxyocZVoIYTzfZN0gpdW7Ofha9txW2+ZWqCxi+kWiJuqsHrdMU3juKyp+SdPnszo0aMZNmwYzz//vGN7ZmYmW7ZsYcKECQwYMIDk5GRiYmL417/+xaBBg2osq6ysjMTERKZPn+7YZjAYGDZsGJs2barxHKvVitX6x8iP/Pz8y6mGaAYURaHHiFZ8MyeJjKP5hEbJRHJC1KetOzNZ+tFuRiiukJTDa79vQUWFM58XVPXsP+DYrJ63/5xt6pnjHCdUU8PSG0otey624QKreCjKeccoSuW3NT1XKv/2nH2uKApnnyiGM4ec2aYoZ849e86555/zPeBYZkQxVO5zcTHi4eWCl5cr2adLKCkuP3MZxRGzYlAc11MMlV8NBgWj0YDBoGAwVr7nGg0KilHBaFAwmQxnjlFwdTXiH+DOEeD4sbzaf0ANoM4Jy8KFC9m2bRsJCQnV9h0+fBiAZ599lldeeYXu3bvz8ccfExcXx65du2jfvn21c7KysrDZbISEhFTZHhISwr59+2qMYfbs2cyaNauuoYtmKjzaDw+LKwcTMiRhEaIe2W12kr44RFerCasJyk+c0+H9zBu7es73le/G1bcrgKpU3U+V8zjnpFpU26deZP9FqOdd/txM6pyylHOfn3eOUm27WuX4KjmRWvV5TduMKBQCZztPVJwtj/PPdc56avmnS51SzuWqU8KSmprKlClTWLVqFW5ubtX2nx2n/eCDDzJp0iQAevTowZo1a/jggw+YPXu2E0KG6dOnM23aNMfz/Px8IiKk2VHUzGBQaNcrmINbM+l3U1tczDJqQYj6sH3NcaynS5nwZG+CIy1ah9PklZVVkJNnJTvXSmiwB34+1d+Xz7Lb7djslV/Ly+1U2FQqbHZsFWe+r7BXPrepjkeFzUap1UZpiQ2rtYKe3UNqLb8h1ClhSUxMJDMzk549ezq22Ww2fv75Z9588032798PQKdOnaqc17FjR1JSUmosMzAwEKPRSEZG1UWyMjIyCA0NrfEcs9l8wT4xQpyvy7Ut2fPrSTYtTeaa26K1DkeIJsVWbidpTQqblx6m27AISVYaiKuriZAgEyFBF5/rxmAwUDn2xYDZtd5Dqxd16nQbFxfHzp07SUpKcjx69+7NhAkTSEpKok2bNoSHhzsSl7MOHDhAZGRkjWW6urrSq1cv1qxZ49hmt9tZs2YN/fv3v4wqCVGdb7AH/W5uy861x8k4In2ehHCW5G2ZfDZzM1u+OUzP+FYMvKWd1iGJJqpOLSze3t7ExsZW2ebp6UlAQIBj+9/+9jdmzpxJt27d6N69Ox999BH79u1j8eLFjnPi4uIYM2YMDz/8MADTpk1j4sSJ9O7dmz59+jBnzhyKiooct5WEcIau17Yk4fsjpO7NJiRKPgEKcSXsNjsbv05m++pUWncN5PqHu+EfLrPaivpzWaOELuSxxx6jtLSUqVOnkp2dTbdu3Vi1ahVt27Z1HJOcnExWVpbj+W233capU6f4xz/+QXp6Ot27d2fFihXVOuIKcSUUg4JfqCc5OphiWgg9UVWV/KwSso4XcvpEEbkZxfiHexLVNRD/cE/HKJWz0pLz2LTkEOlH8hk0rj1dh7asdowQzqaoTWByivz8fHx8fMjLy8NikU/OonZrPtpDdlox457srXUoQjhddloRJlcDlgD3Szq+3Gpj78Y0dq0/Ts6ZJSzcvFzwDXbn9Ikiyq02fILdCW3jg9ndRGGOlcxj+RTmWPEP92TwHdGEt/e7yFWEqF1d3r+d3sIihJ6VFJbj7uWidRhCOFXGkXw2LD5IWnIeBpNCzxGR9BoZicm1ckRcRZmN/VvSyUkrprigjOJ8K8X55RRkl2Irt9O2RxD9x7QluLUFD4sriqJgK7eTui+bw0mnyE0vprS4Ag+LK+2vCiGsnS+tYwNQDNKqIhqOJCyiWSnMsRIc6a11GEI4zemThSz7bxLeAW7E3x/L6ROFbFt5jH2b0whr64uHT+UcRCX5ZfiGeODu7YqHxZWAcC88fc206x1cY4uM0cVA6y6BtO4SqEGthKhOEhbRrARFeJF5VBZDFE2DrdzOD//biZefGzdP64nZ3US7XsFE9wkhaXUqOelFpB3KJaKjP72va41vsIfWIQtx2SRhEc1Kyw5+7NuUTmGOFS8/mctHNG5Ja1IoOF3Kbc/0wez+x59zv1BPrv1TjIaRCeF8l71asxCNUetuQZhcDezbdFLrUIS4IoU5Vrb+cIwuQ1riHybDiUXTJwmLaFbM7iba9w5hz69psnqzaNQ2LT2Ei6uBq65vrXUoQjQIuSUkmp2wdr7s3ZiG3a5iNMooB9E4qHaVvFMlnD5RSOaxfA5syeDaP8Vg9pBRb6J5kIRFNDuqvbJlxSBDMoUOFeVZObbzNKn7sgEwmQzkZBRz+kQhFWWVC8y6W1yJGRBGzIAwLUMVokFJwiKanYLsUsweJpmZU+hG3qliDiVmcvj3U2QeK0BRILi1BZOrkYoyG77BHrTtEUxgSy8CWnrhYWmkq9cJcQUkYRHNzpHtp4jsEqB1GKKZspZUsPvnE+RlFlOYYyX/dCm5GcWYXA1ExgbSdWgErTr74+4lSYkQ55KERTQ7OWnFdBrUQuswRDOjqirJ207xy6IDlBVX4B/uiaevmYiO/vS5IYrWXQNxOTMzrRCiOklYRLNjdDVQUlCmdRiiGcnPKmH95wdI2X2aqG6BXH1bNN7+blqHJUSjIgmLaHY69A1l57rjdB/eqspkW0I4m2pX2fXzCTYuOYSbpwvX/aULUd2CtA5LiEZJ/lqLZqf3qNbs3ZjG9tUp9LmhjdbhiCaoMMdKyu7T7NucRtqhPGKvaUH/W9ri6iZ/coW4XPK/RzQ7nr5mOvQLZf9vGZKwCKexllSQtCqFI9uzOH2iEEWBkCgfbny0OxGd/LUOT4hGTxIW0SxFdgpgzy8nyT9dUuNKtULUxfF92az+cC9lJRW06RFEr5GRRHTyx81TJnUTwlkkYRHNUnh7XwAyDudLwiKuSEF2Kcvf3klwpDdxEztJZ1oh6okkLKJZMnuaQIGy0gqtQxH15OTBHDYuSaakoIxyq42gVt50GhhO626BGI3OWUZNVVXWfroPs7uJUQ91lU7cQtQjWfxQNFsGg4KtQhZAbIp2rjvON68noSjQrlcIsYNbUlZSwYp3d7Fq3m6nLXy5d2MaqXuyGTIhRpIVIeqZ/A8TzVLB6VLsNhWfILkdBGC3q6TuyWbvxjTSknMJbuVNq84BdL46HIOTWiMayrYfj7Hp62S6XtuSAbe2c7Sm9Lk+ikOJmfz43i52/HScbnERdSo3N7OY1D3Z5J8upeB0CflZpZw+WUjMgDAiY2XmZCHqmyQsolnKOl4IQGBLL40jcT67zY5iUC5praTcjGL2bkxj/+Y0ivLK8A/3JPqqEE6lFvDLooOk7s1mxH2dMbnofwbWolwriSuOsXPdcXpf15q+N1YfAdauVzAZRyLY+NUh/MM9iehY++gdVa1cHTl1TzYHfksn/XA+BoOCl78ZS6A7gRFetOsVTOxgmTVZiIYgCYtolrJPFuLm6YKHT9NYr0VVVdKS89j98wkObcvEy9dMZOcAWsUG0KKDHy6uRkqLytm/OZ39W9KxFpdjt6kU5lgxe5ho3zuEmAFhBEd6OxKdozuyWPHeLpa9sZ2rro8ivJ0PBqOBzGP5bPsxhfysEuw2O2HtfInpH0ZIa4smdS/MsbJt5TH2/HISk6uB/mPa0mNEq1qP7zemLdlpRfzwzk5G/6Ur4dG+2CtUivKsFOZYyc0s5sSBHE7sz6Uo14piUGjVyZ8R93amdTeZPl8IrSiqs27maig/Px8fHx/y8vKwWLT5oykal7Wf7ePUsQLGP3WV1qFcsbxTJfzwzk5OHy/EJ8idmAFhFOVWTlyWn1WK0WTA09eVotwyVLtKVLdAfII9UBQIaOlFVLfAWltQTh7KZfUHeypXuPY04e3vRlZqIX6hHoS18wVVJXVvDkV5VuImdiS6T2iD1bukoIytPxxl98+ViUq3uAi6Do24pL4kZaUVfPufJDKO5GP2MGEtPqfztQJBEd60iPalRQc/wtv54ir9U4SoF3V5/5aERTRL383djgKMntxN61CuSHF+GUteTgQFBt/egZYxfiiGyhYSVVXJzSgmZXc2xflWPCxm2vUOxtPHXKdrqKrKqZQCju48TUF2KWFtfYjpF+ro22Kz2Vn7yT72b04nJMpCp4HhtO0ZhNnD+XOQ2O0qx/dls29jGoeTsjCaFLoPb3XJiUqVetlVUvZkcyqlAE9fV7x83fD0M+PlZ5YZaYVoIJKwCHER37+1g3JrBTdP7al1KJfNbrPz1UuJFOZYGfv3XlgCtetArKoqR5Ky2PXLCY7vzUYxKrTrGczQP3fE6OKcTrt7N6bx27LDFOZY8Qv1IGZAGB0HhOHu1TRu6wnRHNXl/Vs+RohmqWUHPzZ+fYjyMluj7ZOQf7qUzGMFxN8fq2myAqAoCm16BNGmRxBFuVb2/5bOpq+TaRHtR6dB4XUqS7WrnD5ZhE+QOy7myt/N0Z1Z/PTJXtr2CCb+gQhCWlsuqVOxEKLpkIRFNEutOvvz62KVtZ/sY+ifYzA1sqQlJ72I9Z8fwOhiILSNvloVPX3N9BwRSeaRfBJ/PEbHAWGO21Rn5Z0qIWl1Clmphbh5uVBWUlHZgbetL0d3nSYnrQhLkDs3TelORbmdVfN207pLIPH3da5WlhCieZCERTRLfqGejLi3M2s+3EvaoVz63BBFTP8w3X9qP32ykO/+u53CHCuWQDdGPdQFLz99TgXfcWA4yW9uJ/90CT5BHo7tuRnFLP73VgxGhYiO/liLK/D0ccVuh32b0whubeGq61qz5dvDLH4pEQXw8ndj+KROkqwI0YxJwiKarfa9QwiK8GbLt4f56eN9ZB0vZNCt7XX7pmgrt7Phy4MoBoVhkzrRtmeQrudH8Q/3BCAnvdiRsFiLy/n+rR24e7sy9u+9Lrg4YIsOfvzyxQFc3Yz0Hh0lI3WEaObkL4Bo1nxDPIi/P5YWHU6w/vP95GWW0P+WtgSE62dCudKicjKP5rP5m8Nknyxi1ENdGsXMqmf7BtnPWf7g1y8PkptZzIRn+110JWMPiyvx98fWa4xCiMZDEhYhgNhrWuDpa+aXhQdY+M/fiIwNwCfQHQ8fV1p08NOkk2duZjEJ3x3h4NZMVLtKUCtvxjzeU7MJ2urK5GrA6GJg3+Y0SovLObI9i6M7sojqFohviMfFCxBCiHPIsGYhzmGrsLNvUxoHEzIoLiinKKeUslIb3v5uRPcNocuQlnWex+RyHNya4VgFuPuwVrTo4EdAuKdub1fVZvcvJ1i/YD+qCmYPEy1j/Iib2Mkx+kcI0bzJPCxCOIndrpJ2MJeDWzM4kJCBrdxOu17BRPcJJaKTPwYnJRDW4nJUtbJVYsPiQ+xaf4L2vYMZ8qeYRj+JWVlpBUYXg2MRQiGEOEsSFiHqgbWkgj2/nGTvxpPkpBfjHeDGNbdF07proOOY3MxiSgvLCW5tuWgyY7PZ2bn2OIeTTpGenIeqUnmOAa4eH03nq8N1P2pJCCGuhCQsQtQjVVXJPFrAb98dIWXPaXrFR+IX5knK7tMc+C0DAA8fVwaNa0/73iE1lmGzVc4tciQpi1axAbTuEoCru4nivDJadvTTVadfIYSoLzLTrRD1SFEUQqIsXD+5KwnLj7Ltx2PYyu1Ygty55vZoAlp6sW3FMdZ9tp8W0X54WKpOHX/yYA6/LDpI9ski4h+IpU33II1qIoQQjYe0sAhxhc72Pzl3mG5JYRmf/WMzAS286NAvFA+LK4pBYe+GkyRvO0VIlIVB49sTGuWjYeRCCKEtaWERogHVtCqxu5crQ+/qyG/LDrP2031w5mOBp6+ZYZM6EX1VSKMb8SOEEFq6om77L774Ioqi8Nhjjzm2DRkyBEVRqjweeuihC5Zz9913Vztn5MiRVxKaEJpr0z2I25/pywNzBnP3vwfyp3/258//7E+HvqGSrAghRB1ddgtLQkIC77zzDl27dq227/777+e5555zPPfwuPgkUSNHjmT+/PmO52Zz/c91IURDcDEbZd4RIYS4QpeVsBQWFjJhwgTee+89nn/++Wr7PTw8CA0NrVOZZrO5zucIIYQQonm4rFtCkydPZvTo0QwbNqzG/Z999hmBgYHExsYyffp0iouLL1rmunXrCA4OpkOHDvzlL3/h9OnTtR5rtVrJz8+v8hBCCCFE01XnFpaFCxeybds2EhISatx/5513EhkZSXh4ODt27OCJJ55g//79LFmypNYyR44cyS233EJUVBTJyck89dRTjBo1ik2bNmE0Vm9Knz17NrNmzapr6EIIIYRopOo0rDk1NZXevXuzatUqR9+VIUOG0L17d+bMmVPjOT/99BNxcXEcOnSItm3bXtJ1Dh8+TNu2bVm9ejVxcXHV9lutVqxWq+N5fn4+ERERMqxZCCGEaETqMqy5TreEEhMTyczMpGfPnphMJkwmE+vXr+eNN97AZDJhs9mqndO3b18ADh06dMnXadOmDYGBgbWeYzabsVgsVR5CCCGEaLrqdEsoLi6OnTt3Vtk2adIkYmJieOKJJ2q8fZOUlARAWFjYJV/n+PHjnD59uk7nCCGEEKLpqlPC4u3tTWxsbJVtnp6eBAQEEBsbS3JyMgsWLOC6664jICCAHTt2MHXqVK655poqw59jYmKYPXs2Y8aMobCwkFmzZjF27FhCQ0NJTk7m73//O+3atSM+Pt45tRRCCCFEo+bUmW5dXV1ZvXo1c+bMoaioiIiICMaOHcuMGTOqHLd//37y8vIAMBqN7Nixg48++ojc3FzCw8MZMWIE//znP2UuFiGEEEIAspaQEEIIITRSb51uhRBCCCG0IAmLEEIIIXRPEhYhhBBC6J4kLEIIIYTQPaeOEtLK2X7DsqaQEEII0Xicfd++lPE/TSJhKSgoACAiIkLjSIQQQghRVwUFBfj4+FzwmCYxrNlut3Py5Em8vb1RFOWSzzu7BlFqamqTHQ4tdWwapI5NQ1OvY1OvH0gdnU1VVQoKCggPD8dguHAvlSbRwmIwGGjZsuVln98c1iOSOjYNUsemoanXsanXD6SOznSxlpWzpNOtEEIIIXRPEhYhhBBC6F6zTljMZjMzZ85s0msWSR2bBqlj09DU69jU6wdSRy01iU63QgghhGjamnULixBCCCEaB0lYhBBCCKF7krAIIYQQQvckYRFCCCGE7jWbhOVf//oXAwYMwMPDA19f32r7t2/fzh133EFERATu7u507NiR//znP1WOWbduHYqiVHukp6c3UC0uzBl1PNeGDRswmUx07969/oKuI2fU8ddff2XgwIEEBATg7u5OTEwMr7/+egPV4MKcUb8lS5YwfPhwgoKCsFgs9O/fnx9//LGBanBxzqhjWload955J9HR0RgMBh577LGGCf4SOev/4rp16+jZsydms5l27drx4Ycf1n/wl+hidQR49NFH6dWrF2azuda/I4sWLaJ79+54eHgQGRnJyy+/XH9B15Gz6vjjjz/Sr18/vL29CQoKYuzYsRw9erTe4q4LZ9Tx2WefrfG90dPT06mxNpuEpaysjHHjxvGXv/ylxv2JiYkEBwfz6aefsnv3bp5++mmmT5/Om2++We3Y/fv3k5aW5ngEBwfXd/iXxJl1zM3N5a677iIuLq6+w64TZ9TR09OThx9+mJ9//pm9e/cyY8YMZsyYwbvvvttQ1aiVM+r3888/M3z4cJYvX05iYiLXXnstN9xwA7///ntDVeOCnFFHq9VKUFAQM2bMoFu3bg0V+iVzRh2PHDnC6NGjufbaa0lKSuKxxx7jvvvu003yebE6nnXPPfdw22231bjvhx9+YMKECTz00EPs2rWLt956i9dff73Gv0lacEYdjxw5wk033cTQoUNJSkrixx9/JCsri1tuuaU+Qq4zZ9Tx8ccfr/KemJaWRqdOnRg3bpxzg1Wbmfnz56s+Pj6XdOxf//pX9dprr3U8X7t2rQqoOTk59ROck1xJHc+67bbb1BkzZqgzZ85Uu3Xr5twAncAZdTzXmDFj1D/96U9OiMw5nF2/Tp06qbNmzXJCZM7jrDoOHjxYnTJlivMCc6IrqePf//53tXPnzlWOue2229T4+HhnhnjFLqWOtf0dueOOO9Rbb721yrY33nhDbdmypWq3250Y5ZW5kjp++eWXqslkUm02m2Pbt99+qyqKopaVlTk50st3JXU8X1JSkgqoP//8s3OCO6PZtLBcjry8PPz9/att7969O2FhYQwfPpwNGzZoEJnz1FTH+fPnc/jwYWbOnKlRVM5V2+/xrN9//52NGzcyePDgBozKeS5WP7vdTkFBwQWP0buL1bEpOL+OmzZtYtiwYVWOiY+PZ9OmTQ0dWr2xWq24ublV2ebu7s7x48c5duyYRlE5V69evTAYDMyfPx+bzUZeXh6ffPIJw4YNw8XFRevw6sX7779PdHQ0V199tVPLlYSlFhs3buSLL77ggQcecGwLCwvj7bff5quvvuKrr74iIiKCIUOGsG3bNg0jvXw11fHgwYM8+eSTfPrpp5hMjX9tzJrqeFbLli0xm8307t2byZMnc99992kQ4ZW5UP3OeuWVVygsLGT8+PENGJnzXEodG7ua6pienk5ISEiV40JCQsjPz6ekpKShQ6wX8fHxLFmyhDVr1mC32zlw4ACvvvoqUNlPqSmIiopi5cqVPPXUU5jNZnx9fTl+/DiLFi3SOrR6UVpaymeffca9997r9LIbdcLy5JNP1tjR59zHvn376lzurl27uOmmm5g5cyYjRoxwbO/QoQMPPvggvXr1YsCAAXzwwQcMGDCgXjtsNmQdbTYbd955J7NmzSI6OtrZValVQ/8ez/rll1/YunUrb7/9NnPmzOHzzz93RnWq0ap+AAsWLGDWrFksWrSoXvtaaVnHhiJ1vPw61ub+++/n4Ycf5vrrr8fV1ZV+/fpx++23A2Aw1M/bU0PXMT09nfvvv5+JEyeSkJDA+vXrcXV15dZbb0Wtp4nmG7qO5/r6668pKChg4sSJTi+7UX+E/r//+z/uvvvuCx7Tpk2bOpW5Z88e4uLieOCBB5gxY8ZFj+/Tpw+//vprna5RFw1Zx4KCArZu3crvv//Oww8/DFTeTlBVFZPJxMqVKxk6dGid63AxWv0eo6KiAOjSpQsZGRk8++yz3HHHHXW6zqXQqn4LFy7kvvvu48svv6x2a8HZ9PB/sb41dB1DQ0PJyMiosi0jIwOLxYK7u3udrnOp6qOOF6IoCv/+97954YUXSE9PJygoiDVr1jj9Oudq6DrOnTsXHx8fXnrpJce2Tz/9lIiICLZs2UK/fv2cdq2zGrqO53r//fe5/vrrq7UOOkOjTliCgoIICgpyWnm7d+9m6NChTJw4kX/961+XdE5SUhJhYWFOi+F8DVlHi8XCzp07q2x76623+Omnn1i8eLHjDd7Z9PB7tNvtWK1Wp8VwLi3q9/nnn3PPPfewcOFCRo8e7bRr10YPv8P61tB17N+/P8uXL6+ybdWqVfTv399pMZzP2XW8VEajkRYtWgCVr93+/fvXWxwNXcfi4uJqrUVGoxGo/LtTH7T6PR45coS1a9fy7bff1kv5jTphqYuUlBSys7NJSUnBZrORlJQEQLt27fDy8mLXrl0MHTqU+Ph4pk2b5phbxWg0On7xc+bMISoqis6dO1NaWsr777/PTz/9xMqVK7WqVhVXWkeDwUBsbGyVMoODg3Fzc6u2XSvO+D3OnTuXVq1aERMTA1QOA37llVd49NFHNanTuZxRvwULFjBx4kT+85//0LdvX8cx7u7u+Pj4aFKvczmjjoDjvMLCQk6dOkVSUhKurq506tSpoatUjTPq+NBDD/Hmm2/y97//nXvuuYeffvqJRYsW8f3332tVrSouVkeAQ4cOUVhYSHp6OiUlJY5jOnXqhKurK1lZWSxevJghQ4ZQWlrK/Pnz+fLLL1m/fr1GtarKGXUcPXo0r7/+Os899xx33HEHBQUFPPXUU0RGRtKjRw+NavYHZ9TxrA8++ICwsDBGjRpVP8E6dcyRjk2cOFEFqj3Wrl2rqmrlcK2a9kdGRjrK+Pe//622bdtWdXNzU/39/dUhQ4aoP/30kzYVqoEz6ng+vQ1rdkYd33jjDbVz586qh4eHarFY1B49eqhvvfVWlWGHWnFG/QYPHlzjMRMnTtSkTudz1uu0rq/lhuSsOq5du1bt3r276urqqrZp00adP39+g9elNhero6rW/lo8cuSIqqqqeurUKbVfv36qp6en6uHhocbFxambN2/WpkI1cEYdVVVVP//8c7VHjx6qp6enGhQUpN54443q3r17G75CNXBWHW02m9qyZUv1qaeeqrdYFVWtp14/QgghhBBO0qhHCQkhhBCieZCERQghhBC6JwmLEEIIIXRPEhYhhBBC6J4kLEIIIYTQPUlYhBBCCKF7krAIIYQQQvckYRFCCCGE7knCIoQQQgjdk4RFCCGEELonCYsQQgghdE8SFiGEEELo3v8D1Uc7DPm6pVQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if allUnits[u] - int(allUnits[u]) == 0.25:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "0d9cebcc-026f-44c9-acb3-d96ae14cd5a4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finding that unit that borders WA 7067 and 7069, that we want to add to border set\n",
      "[963, 972, 986, 2628, 2629, 2630, 2631, 2632, 2633, 2634, 2635, 2640, 2650, 2651, 2647, 6853, 6872, 6895, 6924, 6963, 6985, 6987, 6990, 7011, 7026, 7054, 1395] [2649, 2647, 1904, 1909, 2079, 2178, 2180]\n",
      "I believe the linking unit is {2647}\n"
     ]
    }
   ],
   "source": [
    "print(\"finding that unit that borders WA 7067 and 7069, that we want to add to border set\")\n",
    "print(unitNbrs[7067], unitNbrs[7069])\n",
    "print(\"I believe the linking unit is\",set(unitNbrs[7067]).intersection(set(unitNbrs[7069]) ) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "8378940d-4387-4188-8ae1-a62010500ecb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now build the border topology\n",
      "counties and clusters done, now working on (frag) vtd-based units\n",
      "adding a border unit between Island and Jefferson Counties, as these are only ferry-connected\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Now build the border topology\")\n",
    "borderUnits, borderType = list(), list()\n",
    "for c in borderCounties:\n",
    "    if c in unitCounties:\n",
    "        borderUnits.append(allUnits.index(c+0.5))\n",
    "        borderType.append(\"county\")\n",
    "for i,L in enumerate(CCBlist):\n",
    "    if CCBgeom[i].intersects(MAPexterior):  #should usually be the case, but exception in VA\n",
    "        borderUnits.append(allUnits.index(i+0.25))\n",
    "        borderType.append(\"cluster\")\n",
    "print(\"counties and clusters done, now working on (frag) vtd-based units\")\n",
    "for c in borderCounties:\n",
    "    if c not in unitCounties + allFusedCounties:\n",
    "        for u in countyUnitList[c]:\n",
    "            if unitGeom[u].intersects(MAPexterior):\n",
    "                borderUnits.append(u)\n",
    "                borderType.append(\"vtd\")                \n",
    "if STATE == \"WA\":\n",
    "    print(\"adding a border unit between Island and Jefferson Counties, as these are only ferry-connected\")\n",
    "    borderUnits.append(2647)\n",
    "    borderType.append(\"vtd\")\n",
    "\n",
    "for i,b in enumerate(borderUnits):\n",
    "    plotPoly(unitGeom[b])\n",
    "    if borderType[i] == \"cluster\":\n",
    "        j = int(allUnits[b])\n",
    "        for c in CCBlist[j]:\n",
    "            plotPoly(countyGeom[c],0.2)\n",
    "            plotCenter(\"fused\",countyGeom[c], 6)\n",
    "for c in unitCounties:\n",
    "    plotPoly(countyGeom[c],0.4)\n",
    "    plotCenter(\"unit\",countyGeom[c],8)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "937d923d-9e95-45e9-9aef-77cb4377781d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that the list of borderUnits is contiguous all around\n",
      "number of border units = 107\n"
     ]
    }
   ],
   "source": [
    "print(\"checking that the list of borderUnits is contiguous all around\")\n",
    "print(\"number of border units =\",len(borderUnits))\n",
    "for u in borderUnits:\n",
    "    isUnbroken, smallPieceList = isContiguous(list(set(borderUnits).difference({u})),unitNbrs)\n",
    "    if not isUnbroken:\n",
    "        print(\"border is discontig if we skip\",u)\n",
    "        for uu in smallPieceList:\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"n\"+str(uu),unitGeom[uu])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "        print(\"above is with unit numbers; below is VTDfrag nos\")\n",
    "        for uu in smallPieceList:\n",
    "            vv = allUnits[uu]\n",
    "            plotPoly(unitGeom[uu],0.5)\n",
    "            plotCenter(\"v\"+str(vv),unitGeom[uu],8)\n",
    "        v = allUnits[u]\n",
    "        plotCenter(v,unitGeom[u],8)\n",
    "        plotPoly(unitGeom[u])\n",
    "        plt.show()\n",
    "borderSet = set(borderUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "93603f77-77fa-4453-b54b-5ea07fcb6721",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here, we identify 'border' units that aren't needed to define the map border\n",
      "Bueno! no 'border units' that could be eliminated from the border set\n"
     ]
    }
   ],
   "source": [
    "print(\"here, we identify 'border' units that aren't needed to define the map border\")\n",
    "canBeRemoved, powerNeighbors = set(), set()\n",
    "for u in borderUnits:\n",
    "    uNeighbors = list(borderSet.intersection(set(unitNbrs[u])) )\n",
    "    if len(uNeighbors) < 2:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(u,unitGeom[u])\n",
    "        uu = uNeighbors[0]\n",
    "        otherBorderNeighbors = set(unitNbrs[uu]).intersection(borderSet).difference({u})\n",
    "        if len(otherBorderNeighbors) > 1:  #this neighbor of our 1-border-neighbor border unit makes a border chain without the problem border unit\n",
    "            canBeRemoved.add(u)\n",
    "            powerNeighbors.add(uu)\n",
    "        plotCenter(uu,unitGeom[uu],6)\n",
    "        plotPoly(unitGeom[uu],0.5)\n",
    "        for uuu in set(unitNbrs[uu]).intersection(borderSet).difference({u}):\n",
    "            plotPoly(unitGeom[uuu])\n",
    "            plotCenter(str(uuu)+\"=N of\"+str(uu),unitGeom[uuu])\n",
    "        for uuu in set(unitNbrs[u]).difference(borderSet):\n",
    "                plotCenter(uuu+0.1,unitGeom[uuu],6)\n",
    "                plotPoly(unitGeom[uuu],0.1)\n",
    "        c = countyNo[allUnits[u]]\n",
    "        #plotPoly(countyGeom[c] )\n",
    "        #plotCenter(c, countyGeom[c])\n",
    "        plt.show()\n",
    "if len(canBeRemoved) == 0:\n",
    "    print(\"Bueno! no 'border units' that could be eliminated from the border set\")\n",
    "else:\n",
    "    print(canBeRemoved,\"is the list of 1-neighbor 'border' units that can be eliminated from the border set\")\n",
    "    print(\"... as they are enveloped on the border; the enveloping border unit has two other map-border neighbors\")\n",
    "    yesRemove = input(\"enter 1 to remove these from the list of border units\")\n",
    "    if int(yesRemove) == 1:\n",
    "        canRemove = True\n",
    "        for uu in powerNeighbors:\n",
    "            testSet = (borderSet.difference(canBeRemoved)).difference({uu})\n",
    "            if not isContiguous(list(testSet),unitNbrs):\n",
    "                canRemove = False\n",
    "                print(\"We can't complete the border if unit\",uu,\"is not included in the ring\")\n",
    "        if canRemove:\n",
    "            borderSet = borderSet.difference(canBeRemoved)\n",
    "            borderList = list(borderSet)\n",
    "            borderUnits = list(borderSet)\n",
    "            print(\"Success! we removed\",canBeRemoved,\"from the list of borderUnits\")\n",
    "    else:\n",
    "        print(\"Fine, be that way.  Sheesh, I will keep them.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "b13c68e3-33ed-48b3-acca-78012ce0bf61",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here is the final border set\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "print(\"here is the final border set\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "173bb175-312b-4d08-a5b5-80a1d5d70416",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "True\n"
     ]
    }
   ],
   "source": [
    "print(isContiguous(borderUnits,unitNbrs)[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "fc1ae6e1-ef52-412b-a966-e9739071af8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "For safekeeping, write the unit topology to a file\n"
     ]
    }
   ],
   "source": [
    "date_ = \"15May24\"\n",
    "print(\"For safekeeping, write the unit topology to a file\")  \n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        #for i,uu in enumerate(surrounders):  #no longer tracked\n",
    "         #   if u == uu:\n",
    "         #       unitVTDlist[u].append(surroundedVTDs[i])\n",
    "                \n",
    "unitNo = [u for u in range(nUnits)]\n",
    "unitCPx, unitCPy = [unitCP[u].x for u in range(nUnits)], [unitCP[u].y for u in range(nUnits)]\n",
    "onBorder = [0 for u in range(nUnits)]\n",
    "for u in borderUnits:\n",
    "    onBorder[u] = 1\n",
    "nbrDF = pd.DataFrame( {\"unitNo\":unitNo,\"centroid x\":unitCPx,\"centroid y\":unitCPy,\"unitPop\":unitPop,\"onBorder\":onBorder,\n",
    "                       \"neighborList\":unitNbrs, \"unitVTDlist\":unitVTDlist, \"unitParentVTDno\": unitParentVTDno, \"allUnits\":allUnits} )\n",
    "outname = STATE+\"unitTopologies_\"+date_+\".csv\" \n",
    "outpath = \"state_map_files/\"+outname\n",
    "nbrDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "d4baaea4-7af4-4407-aeb3-f4291d335f89",
   "metadata": {},
   "outputs": [],
   "source": [
    "vtdGeom = tractGeom.copy()  #optional reset if we need to rerun the below clipPoly routine with alternate clipPolys"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "abdd07e7-f9be-480a-9d3d-b3948eeaaa2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "toSquishCountiesList = list()   #default; if we did not have any clipPoly's to move in\n",
    "nClips = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "4d5fdc3c-6126-4fa8-b484-1d0052c70aed",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for many states we move in outcroppings via clipPoly's before running the wedgePoly solver\n",
      "adding code here to 'push in' state panhandles ...\n",
      "performing squish no 1 for state WA\n",
      "clipPoly 0 intersects [4, 13, 15, 27] counties and a total of 44 units\n",
      "Here is the original cutLine and an alternate based on cut shapes\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "These are your orig (faint) and squished shapes for clip no 1 out of 1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 when ready 1\n"
     ]
    }
   ],
   "source": [
    "#starting with MN, we moved the \"option2\" block earlier in the notebook, as we run it before running option 1 (as in other states)\n",
    "print(\"for many states we move in outcroppings via clipPoly's before running the wedgePoly solver\")\n",
    "vtdCP = tractCP.copy()\n",
    "#CODE TO SQUISH GEOMETRIES FROM CLIP LINES INTO THE MAP\n",
    "print(\"adding code here to 'push in' state panhandles ...\")\n",
    "trimDF = pd.read_csv(\"state_map_files/cutNclipPolyLists.csv\")\n",
    "stateRows = trimDF[\"state\"].to_list()\n",
    "DFrow = stateRows.index(STATE)\n",
    "nClips = trimDF[\"nClipPoly\"][DFrow]\n",
    "nCuts  = trimDF[\"nCutPoly\"][DFrow]\n",
    "#Adding in here trimming ops\n",
    "toSquishUnitsList = list()\n",
    "toSquishGeomsList = list()  #combined list of geoms we will squish (over all squish operations)\n",
    "toSquishCountiesList = list()\n",
    "squishedShapesList = list()   #unit shapes after squishing, list over all squish operations\n",
    "if nClips > 0:\n",
    "    clipPoints = ast.literal_eval(trimDF[\"clipPoints\"][DFrow])   #sets of four points\n",
    "    farPoints  = ast.literal_eval(trimDF[\"farPoints\"][DFrow])    #pairs of points\n",
    "    newFarPoints  = ast.literal_eval(trimDF[\"newFarPoints\"][DFrow])   #pairs\n",
    "    cPts = [Point(clipPoints[i][0],clipPoints[i][1]) for i in range(len(clipPoints)) ]\n",
    "    fPts = [Point(farPoints[i][0],farPoints[i][1]) for i in range(len(farPoints)) ]\n",
    "    nfPts = [Point(newFarPoints[i][0],newFarPoints[i][1]) for i in range(len(newFarPoints)) ]\n",
    "    \n",
    "    for clipNo in range(nClips):\n",
    "        print(\"performing squish no\",clipNo+1,\"for state\",STATE)\n",
    "        n0,n1,n2,n3 = int(4*clipNo), int(4*clipNo+1), int(4*clipNo+2), int(4*clipNo+3)\n",
    "        clipPoly = Polygon([cPts[n0],cPts[n1],cPts[n2],cPts[n3] ] )\n",
    "        cutLine = LineString([cPts[n0],cPts[n1]] )\n",
    "        farLine = LineString([fPts[int(2*clipNo)],fPts[int(2*clipNo+1)] ] )\n",
    "        newFarLine = LineString([nfPts[int(2*clipNo)],nfPts[int(2*clipNo+1)] ])\n",
    "        \n",
    "        toSquishCounties = list()\n",
    "        toSquishUnits = list()\n",
    "        for c in range(nCounties):\n",
    "            if clipPoly.intersects(countyGeom[c]):\n",
    "                toSquishCounties.append(c)\n",
    "                if clipPoly.contains(countyGeom[c]):\n",
    "                    toSquishUnits = toSquishUnits + countyTractList[c]\n",
    "                else:\n",
    "                    for t in countyTractList[c]:\n",
    "                        if clipPoly.contains(vtdCP[t]):\n",
    "                            toSquishUnits.append(t)\n",
    "        print(\"clipPoly\",clipNo,\"intersects\",toSquishCounties,\"counties and a total of\",len(toSquishUnits),\"units\")\n",
    "        toSquishGeomUnion = vtdGeom[toSquishUnits[0]]\n",
    "        toSquishGeoms = list()\n",
    "        for t in toSquishUnits:\n",
    "            toSquishGeomUnion = toSquishGeomUnion.union(vtdGeom[t])\n",
    "            toSquishGeoms.append(vtdGeom[t])\n",
    "        unclippedGeom = MAP.difference(toSquishGeomUnion)\n",
    "        altCutLine = toSquishGeomUnion.buffer(0.001).intersection(unclippedGeom)\n",
    "        print(\"Here is the original cutLine and an alternate based on cut shapes\")\n",
    "        #plotPoly(MAP,0.1)\n",
    "        plotPoly(cutLine.buffer(0.02))\n",
    "        plotPoly(altCutLine,0.1)\n",
    "        plt.show()\n",
    "        # could use altCutLine for a more accurate squish at the squish-no_squish boundary ...\n",
    "        #newShapes = squish(clippedGeomList, altCutLine, farLine, newFarLine)\n",
    "        squishedShapes = squish(toSquishGeoms, cutLine, farLine, newFarLine) #..but may distort results\n",
    "        toSquishUnitsList.append(toSquishUnits)\n",
    "        toSquishGeomsList.append(toSquishGeoms)\n",
    "        toSquishCountiesList.append(toSquishCounties)\n",
    "        squishedShapesList.append(squishedShapes)\n",
    "        for geo in toSquishGeoms:\n",
    "            plotPoly(geo,0.1)\n",
    "            plotPoly(geo.centroid.buffer(0.004),0.1)\n",
    "        for geo in squishedShapes:\n",
    "            plotPoly(geo)\n",
    "            plotPoly(geo.centroid.buffer(0.002),0.4)\n",
    "        print(\"These are your orig (faint) and squished shapes for clip no\",clipNo+1,\"out of\",nClips)\n",
    "        plt.show()\n",
    "        pause = input(\"enter 1 when ready\")    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "62667c48-6c66-4381-b01d-518af61651bd",
   "metadata": {},
   "outputs": [],
   "source": [
    "#now apply the squish to all impacted vtds.  \"tractGeom\" will retain original vtd shapes, so we can reset if needed\n",
    "for i, vList in enumerate(toSquishUnitsList):\n",
    "    squishedShapes = squishedShapesList[i]\n",
    "    for j, v in enumerate(vList):\n",
    "        vtdGeom[v] = squishedShapes[j]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "7b967d22-41fb-454f-ae47-d72d712daa4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for t in range(nTracts):  #optional full state visualization after squish\n",
    "    if t not in allCutVTDs and t not in skipList:\n",
    "        plotPoly(vtdGeom[t])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9715564f-3b60-43e5-9f1f-02f3dcee3933",
   "metadata": {},
   "outputs": [],
   "source": [
    "c = 22  #pick a county for visualization if desired\n",
    "print(\"here are the faint(original) and squished shapes for county\",c)\n",
    "for t in countyTractList[c]:\n",
    "    plotPoly(vtdGeom[t])\n",
    "    plotPoly(tractGeom[t],0.1)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "760bc48e-0236-4ad7-b3b8-d74795009f53",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"alternate simple approach for Florida Keys - translate all toward county CP\")\n",
    "c = 43\n",
    "vtdGeom = tractGeom.copy()  #a reset\n",
    "nTranslated = 0\n",
    "newCP = Point(-81, 25.1)\n",
    "for v in countyTractList[c]:\n",
    "    if clipPoly.contains(tractCP[v]):\n",
    "        xDelta, yDelta = newCP.x - tractCP[v].x, newCP.y - tractCP[v].y\n",
    "        xOFF, yOFF = 0.95 * xDelta, 0.95 * yDelta\n",
    "        vtdGeom[v] = translate(vtdGeom[v],xoff= xOFF, yoff=yOFF)\n",
    "        nTranslated +=1\n",
    "print(\"I translated\",nTranslated,\"vtds toward the center of county\",c)\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]\n",
    "countyGeom[c] = vtdGeom[countyTractList[c][0]]\n",
    "for v in countyTractList[c]:\n",
    "    countyGeom[c] = countyGeom[c].union(vtdGeom[v])\n",
    "    plotPoly(hdCP[v].buffer(0.03))\n",
    "plotPoly(countyGeom[c])\n",
    "unsquishedMAP = MAP\n",
    "MAP = countyGeom[uncutCountyList[0]]\n",
    "for c in uncutCountyList:\n",
    "    MAP = MAP.union(countyGeom[c])\n",
    "#plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "4ef91f8f-dabb-4c58-a8a4-bba8e725e586",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 to use shifted shapes (e.g. for MD, MN), else enter 0 for most states to use uncut counties 1\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on confirming HD center 0 is inside the map's convex hull\n",
      "working on confirming HD center 501 is inside the map's convex hull\n",
      "working on confirming HD center 1001 is inside the map's convex hull\n",
      "working on confirming HD center 1501 is inside the map's convex hull\n",
      "working on confirming HD center 2001 is inside the map's convex hull\n",
      "working on confirming HD center 2501 is inside the map's convex hull\n",
      "working on confirming HD center 3001 is inside the map's convex hull\n",
      "working on confirming HD center 3502 is inside the map's convex hull\n",
      "working on confirming HD center 4002 is inside the map's convex hull\n",
      "working on confirming HD center 4502 is inside the map's convex hull\n",
      "working on confirming HD center 5002 is inside the map's convex hull\n",
      "working on confirming HD center 5502 is inside the map's convex hull\n",
      "working on confirming HD center 6002 is inside the map's convex hull\n",
      "working on confirming HD center 6502 is inside the map's convex hull\n",
      "working on confirming HD center 7002 is inside the map's convex hull\n",
      "Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Note the MAP convex hull.  Overwrite with your own polygon if desired.\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 - draw polygonal HDs.  #REQUIRES CONSISTENT TREATMENT OF CCB'S \n",
    "#For GA, MA, MD, MN, NC we draw HDs for ALL vtds, even if they are in a CCB.  We use the clipPoly's to squish in the corners for these HD shapes\n",
    "#Not sure if below would work if we have cut districts AND squished-in corners\n",
    "#We normally draw for each (squished or orig) vtd.  Or, read in tract or blockgroup geometries, use those pops and unit centerpoints\n",
    "\n",
    "hdCP = [vtdGeom[v].centroid for v in range(nTracts)]  #remember, this is after any squish operation\n",
    "print(\"Here we compute the map's convex hull. We can build out of whole counties or after squish operations.\")\n",
    "useSquish = int(input(\"enter 1 to use squished shapes (e.g. for MD, MN), enter 0 for unclipped states\"))\n",
    "if useSquish == 1:\n",
    "    convexMAP = hdCP[countyTractList[uncutCountyList[0]][0]].buffer(0.1) \n",
    "    for v in range(nTracts):\n",
    "        if v not in skipList and v not in allCutVTDs:\n",
    "            convexMAP = convexMAP.union(hdCP[v].buffer(0.1))\n",
    "else:  #build the map via simple union of counties not wholly in fully cut-out districts\n",
    "    convexMAP = countyGeom[uncutCountyList[0]]\n",
    "    for c in uncutCountyList:\n",
    "        convexMAP = convexMAP.union(countyGeom[c])\n",
    "    #convexMAP = MAP.centroid\n",
    "    #for c in range(nCounties):\n",
    "    #    if c not in allFusedCounties:\n",
    "    #        convexMAP = convexMAP.union(countyGeom[c])\n",
    "MAPhull = convexMAP.convex_hull.buffer(0.01*convexMAP.area**0.5)\n",
    "plotPoly(MAPhull)\n",
    "popHDlist = list()\n",
    "for t in range(nTracts):\n",
    "    if t not in allCutVTDs and t not in skipList:  #keep low-pop tracts as VEST may have assigned voters to them\n",
    "        popHDlist.append(t)\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on confirming HD center\",t,\"is inside the map's convex hull\")\n",
    "    if hdCP[t].disjoint(convexMAP.convex_hull):\n",
    "        plotPoly(hdCP[t].buffer(0.03))\n",
    "        hdCP[t] = nearest_points(convexMAP.convex_hull,hdCP[t])[0]\n",
    "        plotCenter(\"m\",hdCP[t])\n",
    "    else:\n",
    "        plotPoly(hdCP[t].buffer(0.01))\n",
    "plotPoly(convexMAP)\n",
    "plotPoly(convexMAP.convex_hull)\n",
    "plotPoly(MAPhull)\n",
    "for c in allFusedCounties:\n",
    "    plotPoly(countyGeom[c],0.2)\n",
    "print(\"Here is the convex hull and shape and a dot map of the (shifted) unit centerpoints\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Note the MAP convex hull.  Overwrite with your own polygon if desired.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "8393e96a-75c6-48ec-94e8-1f6fe58d31df",
   "metadata": {},
   "outputs": [],
   "source": [
    "nHDs = nTracts  #need to run this if we start option 2 from a vest list, not a previously run HD poly list\n",
    "HDcountyNo = countyNo.copy()\n",
    "populatedTractList = popHDlist.copy()  #nomenclature equivalency"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "bcaf6ea2-1c3b-48c1-9ad6-937d7b7e4385",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\n",
      "working on tract-tract distances for unit 0 out of 7434 . Time = 0\n",
      "working on tract-tract distances for unit 401 out of 7434 . Time = 141\n",
      "working on tract-tract distances for unit 801 out of 7434 . Time = 289\n",
      "working on tract-tract distances for unit 1201 out of 7434 . Time = 413\n",
      "working on tract-tract distances for unit 1601 out of 7434 . Time = 529\n",
      "working on tract-tract distances for unit 2001 out of 7434 . Time = 640\n",
      "working on tract-tract distances for unit 2401 out of 7434 . Time = 739\n",
      "working on tract-tract distances for unit 2801 out of 7434 . Time = 831\n",
      "working on tract-tract distances for unit 3202 out of 7434 . Time = 918\n",
      "working on tract-tract distances for unit 3602 out of 7434 . Time = 995\n",
      "working on tract-tract distances for unit 4002 out of 7434 . Time = 1065\n",
      "working on tract-tract distances for unit 4402 out of 7434 . Time = 1127\n",
      "working on tract-tract distances for unit 4802 out of 7434 . Time = 1181\n",
      "working on tract-tract distances for unit 5202 out of 7434 . Time = 1229\n",
      "working on tract-tract distances for unit 5602 out of 7434 . Time = 1268\n",
      "working on tract-tract distances for unit 6002 out of 7434 . Time = 1299\n",
      "working on tract-tract distances for unit 6402 out of 7434 . Time = 1323\n",
      "working on tract-tract distances for unit 6802 out of 7434 . Time = 1339\n",
      "working on tract-tract distances for unit 7202 out of 7434 . Time = 1347\n",
      "All done; total elapsed  1348 seconds for WA with 10 districts to map\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "our maxD was 4.851322754815085\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 ....... ##########  THIS IS FOR TRACT - TRACT, despite the \"unit\" nomenclature\n",
    "print(\"Let us establish the (post-squish) point-point distances for all HD centers, about 8 min for 4000-unit state\")\n",
    "#NOTE: FOR LARGE STATES, RESTRICT THE SEARCH TO COUNTIES WITHIN A 3/SQRT(nDistrict) DIAMETER OF THE HOME UNIT\n",
    "uuDist = [[int(maxD+1) for t in range(nHDs)] for t in range(nHDs)] #default: too big to capture\n",
    "closeCountyList = [list() for c in range(nCounties)]\n",
    "closeCountyDist = maxD   #min(maxD,3./float(nDistricts)**0.5 * maxD )  #use above maxD for these counties as well\n",
    "xScaleSquared = xScale*xScale\n",
    "if nDistricts < 10: #closeCountyDist >= maxD:  #small state\n",
    "    closeCountyList = [[i for i in range(nCounties)] for c in range(nCounties)]  #all counties are close enough\n",
    "else:\n",
    "    for c in uncutCountyList:\n",
    "        closeCountyList[c].append(c)\n",
    "        for cc in range(c+1,nCounties):\n",
    "            if cc in uncutCountyList:\n",
    "                if cc in neighborCountyList[c]:\n",
    "                    closeCountyList[c].append(cc)\n",
    "                    closeCountyList[cc].append(c)\n",
    "                else:    \n",
    "                    dist = getLongDist(countyCP[c], countyCP[cc],xScale)\n",
    "                    if dist < closeCountyDist:\n",
    "                        closeCountyList[c].append(cc)\n",
    "                        closeCountyList[cc].append(c)\n",
    "startTime = time.time()\n",
    "\n",
    "for i,t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on tract-tract distances for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime))\n",
    "    uuDist[t][t] == 0.\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "                dist = getLongDist(hdCP[t], hdCP[tt],xScale)\n",
    "                uuDist[t][tt], uuDist[tt][t] = dist, dist\n",
    "print(\"All done; total elapsed \",int(time.time()-startTime),\"seconds for\",STATE,\"with\",nDistricts,\"districts to map\" )\n",
    "plt.hist(uuDist)\n",
    "plt.show()\n",
    "print(\"our maxD was\",maxD)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "2f392acb-ba52-4343-80ae-a58ba0b57366",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "similar to above, but for angles\n",
      "working on unit-unit angles for unit 0 out of 7434 . Time = 0\n",
      "working on unit-unit angles for unit 401 out of 7434 . Time = 73\n",
      "working on unit-unit angles for unit 801 out of 7434 . Time = 145\n",
      "working on unit-unit angles for unit 1201 out of 7434 . Time = 210\n",
      "working on unit-unit angles for unit 1601 out of 7434 . Time = 271\n",
      "working on unit-unit angles for unit 2001 out of 7434 . Time = 328\n",
      "working on unit-unit angles for unit 2401 out of 7434 . Time = 381\n",
      "working on unit-unit angles for unit 2801 out of 7434 . Time = 433\n",
      "working on unit-unit angles for unit 3202 out of 7434 . Time = 477\n",
      "working on unit-unit angles for unit 3602 out of 7434 . Time = 517\n",
      "working on unit-unit angles for unit 4002 out of 7434 . Time = 554\n",
      "working on unit-unit angles for unit 4402 out of 7434 . Time = 587\n",
      "working on unit-unit angles for unit 4802 out of 7434 . Time = 615\n",
      "working on unit-unit angles for unit 5202 out of 7434 . Time = 640\n",
      "working on unit-unit angles for unit 5602 out of 7434 . Time = 661\n",
      "working on unit-unit angles for unit 6002 out of 7434 . Time = 677\n",
      "working on unit-unit angles for unit 6402 out of 7434 . Time = 689\n",
      "working on unit-unit angles for unit 6802 out of 7434 . Time = 698\n",
      "working on unit-unit angles for unit 7202 out of 7434 . Time = 703\n",
      "All done with angles; total elapsed seconds = 703\n"
     ]
    }
   ],
   "source": [
    "#continuing option 2 \n",
    "print(\"similar to above, but for angles\")  #convention is angle[a][b] is from a to b\n",
    "uuAngle = [[0. for t in range(nHDs)] for t in range(nHDs)]\n",
    "\n",
    "pi = 3.141592653\n",
    "twoPi = pi*2.\n",
    "startTime = time.time()\n",
    "for i, t in enumerate(populatedTractList):\n",
    "    if i %400 == 0:\n",
    "        print(\"working on unit-unit angles for unit\",t,\"out of\",nHDs,\". Time =\",int(time.time() - startTime)  )\n",
    "    for tt in populatedTractList:\n",
    "        if tt > t and (HDcountyNo[tt] in closeCountyList[HDcountyNo[t]] or HDcountyNo[t] == HDcountyNo[tt]):  #time-saver; do the triangle matrix\n",
    "            angLE = math.atan2(hdCP[tt].y - hdCP[t].y, xScale * (hdCP[tt].x - hdCP[t].x) )\n",
    "            uuAngle[t][tt], uuAngle[tt][t] = angLE % twoPi, (angLE + pi) % twoPi\n",
    "print(\"All done with angles; total elapsed seconds =\",int(time.time()-startTime) )\n",
    "#plt.hist(uuAngle)\n",
    "#plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "4cc54eba-ca37-4680-9699-37332133afb8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "770528.1 10 7705281.0 10.0 7705281.0\n",
      "7705281.0 7705281 1.0\n"
     ]
    }
   ],
   "source": [
    "print(r3(aDP), nDistricts, statePop, statePop/aDP, trueStatePop)\n",
    "HDweight = [0 for t in range(nHDs)]\n",
    "for t in populatedTractList:\n",
    "    HDweight[t] = tractPop[t] / trueStatePop #skipping the cutList tracts\n",
    "print(statePop,np.sum([tractPop[t] for t in populatedTractList]), r5(np.sum(HDweight))) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "9fc17acc-9afa-4496-a94d-c2b2049b743a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "eliminating WA ferry neighbors 4-27\n",
      "15s nbrs = [4, 13, 14, 17, 22, 27] 27s nbrs = [14, 15, 28, 36]\n",
      "eliminating WA ferry neighbors 15-27\n"
     ]
    }
   ],
   "source": [
    "#print(\"4s nbrs =\",neighborCountyList[4], \"27s nbrs =\",neighborCountyList[27])\n",
    "if STATE == \"WA\":\n",
    "    print(\"eliminating WA ferry neighbors 4-27\")\n",
    "    #neighborCountyList[4].remove(27)\n",
    "    ##neighborCountyList[27].remove(4)\n",
    "print(\"15s nbrs =\",neighborCountyList[15], \"27s nbrs =\",neighborCountyList[27])\n",
    "if STATE == \"WA\":\n",
    "    print(\"eliminating WA ferry neighbors 15-27\")\n",
    "    neighborCountyList[15].remove(27)\n",
    "    neighborCountyList[27].remove(15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "dac2348a-060a-40a9-beeb-02ff70ec1aa1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\n"
     ]
    }
   ],
   "source": [
    "print(\"RUN FOR ALL STATES.for extended peninsulas, need to broaden the 'neighborCountyList' to include all co-squished counties' neighbors\")\n",
    "opt2nbrCtyList = [neighborCountyList[c].copy() for c in range(nCounties)]\n",
    "for i in range(nClips):\n",
    "    cList = toSquishCountiesList[i]\n",
    "    for c in cList:\n",
    "        for cc in cList:\n",
    "            for ccc in neighborCountyList[cc]:\n",
    "                if ccc not in opt2nbrCtyList[c] and ccc != c:\n",
    "                    opt2nbrCtyList[c].append(ccc)\n",
    "#for c in range(nCounties):\n",
    "#    for cc in opt2nbrCtyList[c]:\n",
    "#        plotPoly(countyGeom[cc])\n",
    "#    plotCenter(c,countyGeom[c])\n",
    "#    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "3873aaa2-0c39-4ac0-99c3-92dd7c18c555",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\n",
      "For each Home District, we will consider a wedge as one-from-full when it is within 829.417 of targetWedgePop\n",
      "I am working on HD number 0 of 7434 HDs.  Elapsed sec = 0\n",
      "I am working on HD number 401 of 7434 HDs.  Elapsed sec = 105\n",
      "I am working on HD number 801 of 7434 HDs.  Elapsed sec = 198\n",
      "I am working on HD number 1201 of 7434 HDs.  Elapsed sec = 296\n",
      "I am working on HD number 1601 of 7434 HDs.  Elapsed sec = 414\n",
      "I am working on HD number 2001 of 7434 HDs.  Elapsed sec = 532\n",
      "I am working on HD number 2401 of 7434 HDs.  Elapsed sec = 667\n",
      "I am working on HD number 2801 of 7434 HDs.  Elapsed sec = 782\n",
      "I am working on HD number 3202 of 7434 HDs.  Elapsed sec = 887\n",
      "I am working on HD number 3602 of 7434 HDs.  Elapsed sec = 991\n",
      "I am working on HD number 4002 of 7434 HDs.  Elapsed sec = 1087\n",
      "I am working on HD number 4402 of 7434 HDs.  Elapsed sec = 1189\n",
      "I am working on HD number 4802 of 7434 HDs.  Elapsed sec = 1333\n",
      "I am working on HD number 5202 of 7434 HDs.  Elapsed sec = 1472\n",
      "I am working on HD number 5602 of 7434 HDs.  Elapsed sec = 1619\n",
      "I am working on HD number 6002 of 7434 HDs.  Elapsed sec = 1771\n",
      "I am working on HD number 6402 of 7434 HDs.  Elapsed sec = 1947\n",
      "I am working on HD number 6802 of 7434 HDs.  Elapsed sec = 2171\n",
      "I am working on HD number 7202 of 7434 HDs.  Elapsed sec = 2371\n",
      "2446.76 seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\n",
      "vtd avg and sd usage are 0.99987 0.20005\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are your HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#continuing option 2 .......\n",
    "# BELOW modified Dec23 to use inter-unit distances and angles, (counties still wedgeIntersxn) otherwise similar to HD2\n",
    "# --THIS ESSENTIALLY TAKES THE ORIGINAL TRACT-BASED HD centerpoints, and redraws HD2 districts after convexifying corners and convex_hull\n",
    "print(\"Here is the main code to draw 4-wedge Home Districts for each populated HD centerpoint\") \n",
    "#this is a hybrid of HD2 and the organic code, in that all wedge tracts must be in a chain of neighboring counties\n",
    "#General sequence: draw 4 equi-angle wedges with random starting orientation.  If not all can fill a quarter aDP ...\n",
    "# ... find the closest map boundary point to the tract center point in the shortest wedge.  Orient the 0th wedge to face this point\n",
    "# ... determine the \"maxWedgePop\" for this short wedge and the other three wedges extended past the boundary\n",
    "# ...  if this results in only one short wedge, or opposing short wedges, adjust wedge angles\n",
    "# Regardless of whether we re-oriented or adjusted angles, compute each wedgePop for infinite radius\n",
    "#   ... then adjust other targetWedgePops if some found to be short.\n",
    "#   ... for non-shorted wedges, use bisection method to adjust radius to meet targetWedgePop\n",
    "#   ... once total HDpop within tolerance, add/subtract a tract fraction to fulfill HDpop\n",
    "#  create a list of fully used tracts per HD, save the tract# of the split tract and its fractional use\n",
    "#  Compute tractUse across all HDs at the end from the tractUsageLists.  Defer patching and partisan calcs to another code\n",
    "\n",
    "pi=3.1415926536\n",
    "#MAPhull = MAP.convex_hull #used for exitAngle calc.  Defined in an above block to allow user modification\n",
    "nWedges = 4  #number of wedges per home district polygon  \n",
    "avgWedgeAngle = 2.*pi / nWedges\n",
    "angle, angle2, wedgePoly = [0.]*nWedges, [0.]*nWedges, [dummyPoly]*nWedges  #start and stop angle of each wedge\n",
    "pt1, pt2, pt3 = [Point(0,0)]*nWedges, [Point(0,0)]*nWedges, [Point(0,0)]*nWedges #these four define the polygon wedge for a growing home district\n",
    "tractUse = [0.] * nHDs  #this will store how much we use this tract in ALL HD's vs. expectation\n",
    "HDtractList = [list()]*nHDs\n",
    "splitTractNo = [-999]*nHDs  #the tract that is only partially used to finish each HD\n",
    "splitTractUse = [0.]*nHDs  #and this is what fraction of the split tract is included\n",
    "HDvPop = [0.]*nHDs\n",
    "#HDweight = [tractPop[t] / (statePop - excludedPop) for t in range(nTracts)]  #relative weight of each drawn HD\n",
    "HDPoly1 = [dummyPoly]*nHDs  #final 4-wedge shape, unionized from blockgroups / tracts\n",
    "HDarea = [0.]*nHDs  #geographical area of each home district (after boundary trim)\n",
    "HDradius = [[0.]*nWedges for t in range(nHDs)] #final wedge length for each Home District wedge\n",
    "HDangle = [[0.]*nWedges for t in range(nHDs)] #final starting angle for each HD wedge\n",
    "angle0 = [-999.] * nHDs  #orientation of 0th wedge.  Random except re-oriented if we are near-boundary\n",
    "avgTractPop = statePop/len(populatedTractList)\n",
    "tolerPops = [0.8 * avgTractPop, 0.5 * np.max(tractPop)]  #threshold gap before adding one more unit to a wedge \n",
    "tolerPop = tolerPops[0]\n",
    "print(\"For each Home District, we will consider a wedge as one-from-full when it is within\",r3(tolerPops[0]),\"of targetWedgePop\")\n",
    "tractPrintInterval = 400  #for tracking progress\n",
    "levelL = 0.36 #sqrt(pop) for angle=std  These two control distortion in wedge angles relative to wedgePop shortness\n",
    "maxAngleRatio = 1.9  #for tightening tract weighting near boundaries  #HD2\n",
    "maxAngle = 1.8*pi/2. # limit to avoid wedges too close to half a pie\n",
    "minAdjRatio = 0.5  #min ratio of pop of adjacent wedge (to min wedge) to targetWedgePop to not consider this a corner HD\n",
    "maxUncap = 0.5 #the max ratio of uncaptured pop in a maxWedge vs. target wedge pop that we will not stretch to include (7/23)\n",
    "oppWt = 0.0    #the fraction of gap between normal targetWedgePop and the minWedgePop that we allow the opposite wedge to add to tgtPop = minWedgePop\n",
    "maxWedgePop = [0.] * nWedges  #wedge pop if we explode wedge to maximum radius\n",
    "printDebug = \"no\"\n",
    "codeStartTime = time.time()\n",
    "hdCPpop = [HDweight[t] * statePop for t in range(nHDs)]\n",
    "countyHDlist = [list() for c in range(nCounties)]\n",
    "for t in populatedTractList:\n",
    "    countyHDlist[HDcountyNo[t]].append(t)\n",
    "\n",
    "for kkkj, t in enumerate(populatedTractList):  #range(nTracts) : #loop on each tract. \n",
    "    hC = HDcountyNo[t]     #this tract's home county\n",
    "    HDtractList[t] = [t] #seed the list of tracts in this HD\n",
    "    wedgeList = [list() for w in range(nWedges)]   #list of each wedge's tracts, excluding home tract\n",
    "    barredList = list()  #list of wedge numbers for which we are barred from altering their targetWedgePops\n",
    "    if (kkkj % tractPrintInterval) == 0 : \n",
    "        print(\"I am working on HD number {0} of {1} HDs.  Elapsed sec = {2}\".format(t,nHDs,int(time.time()-codeStartTime) ) )  \n",
    "    nActiveWedges = nWedges #active wedges have not run over boundary\n",
    "    wedgePop = [0.]*nWedges\n",
    "    targetWedgePop = [aDP / nWedges]*nWedges  #at beginning, split districtPop equally among wedges\n",
    "    \n",
    "    angle0[t] = random.uniform(0,2.*pi)  #imparts random orientation to the midangle of our starting wedge\n",
    "    wedgeAngle = [avgWedgeAngle for w in range(nWedges) ] #reset to equi-angle when starting each tract\n",
    "    for nW in range(nWedges-1):\n",
    "        wedgeAngle[nW] += random.uniform(-0.0001,0.0001)  #this wiggle solves a later indexing ambiguity for corner tracts\n",
    "    wedgeAngle[nWedges-1] = 2.*pi - (np.sum(wedgeAngle) - wedgeAngle[nWedges-1] ) #squaring up to 2pi total\n",
    "    startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "    for nW in range(1,nWedges):\n",
    "        startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "    endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "    #  TRIAL LOOP TO SEE WHICH WEDGES CAN FILL TO TARGET POP w/equiangle wedges\n",
    "    maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]    \n",
    "    maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "    willFill = [0] * nWedges #would this wedge meet its target with infinite radius?\n",
    "    for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "        iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "        #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList) \n",
    "        nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "        maxWedgePop[nW] += (iCP + nonCP)\n",
    "        wedgeList[nW] = Li + Ln\n",
    "        if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "            willFill[nW] = 1\n",
    "     \n",
    "    if np.sum(willFill) < nWedges:  #at least one wedge couldn't reach its wedgePop target (went over boundary) ...\n",
    "        minW = maxWedgePop.index(np.min(maxWedgePop)) #.. so we will orient the 0th wedge to face the shortest wedgePop's closest boundary\n",
    "        exitAngle = getExitAngle(hdCP[t],maxWedgePoly[minW], MAPhull, startAngle[minW], endAngle[minW])\n",
    "        angle0[t] = exitAngle - 0.5*(2.*pi / nWedges)  #Now reset all angles based on new starting orientation.  All wedge angles still equal\n",
    "        startAngle = [angle0[t] for nW in range(nWedges)]\n",
    "        for nW in range(1,nWedges):\n",
    "            startAngle[nW] = startAngle[nW-1] + wedgeAngle[nW-1]\n",
    "        endAngle = [startAngle[nW] + wedgeAngle[nW] for nW in range(nWedges)]\n",
    "        maxWedgePoly = [buildWedge(hdCP[t],startAngle[nW],endAngle[nW], maxD, xScale) for nW in range(nWedges) ]\n",
    "        \n",
    "        willFill = [0]*nWedges\n",
    "        #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation (wedge angles still constant)\n",
    "        maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop        \n",
    "        for nW in range(nWedges):   #... then add in-county and nonCounty wedge Pop from contiguous chain of counties\n",
    "            iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])\n",
    "            #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "            nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                    opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "            maxWedgePop[nW] += (iCP + nonCP)\n",
    "            wedgeList[nW] = Li + Ln\n",
    "            if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                willFill[nW] = 1       \n",
    "    \n",
    "    if np.sum(willFill) < nWedges:  #check if we need to modify wedge angles after possible re-orientation.  \n",
    "        # If so, re-draw maxWedgePoly's, re-calc maxWedgePops\n",
    "        nUnfilledWedges = nWedges - np.sum(willFill)\n",
    "        isChange, newInclA = getNewAngles(maxWedgePop, targetWedgePop, aDP, levelL, minAdjRatio, maxAngle, maxAngleRatio, nUnfilledWedges )\n",
    "        if isChange: #no longer equi-angle\n",
    "            newStartAngle = [0.5*(startAngle[nW]+endAngle[nW]) - 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            newEndAngle =   [0.5*(startAngle[nW]+endAngle[nW]) + 0.5*newInclA[nW] for nW in range(nWedges) ]\n",
    "            startAngle, endAngle, wedgeAngle = newStartAngle.copy(), newEndAngle.copy(), newInclA.copy()\n",
    "            maxWedgePoly = [ buildWedge(hdCP[t],startAngle[nW],endAngle[nW], \n",
    "                                        maxD/math.cos(0.5*wedgeAngle[nW]), xScale ) for nW in range(nWedges) ]\n",
    "            willFill = [0]*nWedges\n",
    "            #Now re-calc each maxWedgePop if we extend wedge's radius past map with new angle0 orientation and new wedge angles\n",
    "            maxWedgePop =[ hdCPpop[t]*wedgeAngle[nW]/(2.*pi) for nW in range(nWedges) ]  #seed wedge with fraction of its home tract pop\n",
    "            for nW in range(nWedges):   #... then add in-county Pop and wedge Pop from contiguous chain of counties\n",
    "                iCP, Li   = getCountyWP(t,maxWedgePoly[nW], hdCP, hdCPpop, countyHDlist[hC])                \n",
    "                #nonCP, Ln = getNonCWP(maxWedgePoly[nW], hC, tractCP, tractPop, countyGeom, countyPop, countyTractList, neighborCountyList)\n",
    "                nonCP, Ln = getNonCWP_c(startAngle[nW],endAngle[nW], hC, hdCP, hdCPpop, countyGeom, countyPop, countyHDlist,\n",
    "                                        opt2nbrCtyList, uuDist[t], uuAngle[t], maxWedgePoly[nW])\n",
    "                maxWedgePop[nW] += (iCP + nonCP)\n",
    "                wedgeList[nW] = Li + Ln\n",
    "            minW = wedgeAngle.index(np.max(wedgeAngle)) #should be 0th wedge, but playing it safe.  This is the 1st wide-angle wedge ..\n",
    "            oppW = int(int(minW+nWedges/2)%nWedges)   #and its opposite\n",
    "            if maxWedgePop[minW] > maxWedgePop[oppW] and maxWedgePop[oppW] < aDP / nWedges:  #minW and oppW are flipped after inclA adjmt\n",
    "                oppW = minW\n",
    "                minW = int(int(minW+nWedges/2)%nWedges)\n",
    "            if maxWedgePop[minW] < targetWedgePop[oppW]:  #we need to constrain oppW in this HD2 implementation; redistribute tgt to adjacents\n",
    "                maxNonOppW = np.sum(maxWedgePop) - maxWedgePop[oppW] #...but only if other wedges can pick up slack; need to check\n",
    "                minOppWedgePop = aDP - maxNonOppW  #cannot set oppW target below this or we won't reach aDP across all wedges\n",
    "                barredList = [oppW]\n",
    "                targetWedgePop[oppW] = max(minOppWedgePop, maxWedgePop[minW] + oppWt * (targetWedgePop[oppW] - maxWedgePop[minW]) )\n",
    "                tWPgap = aDP / float(nWedges) - targetWedgePop[oppW] \n",
    "                for nW in range(nWedges):\n",
    "                    if nW != minW and nW != oppW:\n",
    "                        targetWedgePop[nW] += tWPgap/float(nWedges - 2.)  #if oppW target is limited, allot to adjacent wedges\n",
    "            for nW in range(nWedges):\n",
    "                if maxWedgePop[nW] > targetWedgePop[nW]:\n",
    "                    willFill[nW] = 1  \n",
    "    \n",
    "    if abs(np.sum(targetWedgePop) / aDP - 1.) > 0.001:\n",
    "        raise Exception(\"FAIL! Our target wedgepops\",targetWedgePop, np.sum(targetWedgePop),\"no longer add up to\",aDP)\n",
    "    \n",
    "    if np.sum(willFill) == nWedges:  #all wedges will fill.  Will any leave a small near-boundary remnant?  If so, pick up smallest remnant\n",
    "        remnantWedgePopFrac = [ ( maxWedgePop[w] - targetWedgePop[w] )/targetWedgePop[w] for w in range(nWedges) ]\n",
    "        if np.min(remnantWedgePopFrac) < maxUncap :  #lessen tWP's of *adjacent* wedges, then increase this wedge's target --> max\n",
    "            minW = remnantWedgePopFrac.index(np.min(remnantWedgePopFrac))\n",
    "            oppW = int((minW+nWedges/2)%nWedges)\n",
    "            #print(\"filling to boundary for tract,wedge, tWP, mWP =\",t,minW, r3(targetWedgePop[minW]), maxWedgePop[minW])\n",
    "            for nW in range(nWedges):\n",
    "                if nW != minW and nW != oppW:\n",
    "                    targetWedgePop[nW] -= (remnantWedgePopFrac[minW] * targetWedgePop[minW] ) / (nWedges - 2.)\n",
    "            targetWedgePop[minW] = maxWedgePop[minW]\n",
    "            #       OK, READY TO SOLVE FOR NON-FILLED WEDGE SIZES once we adjust targets for unfilled wedges\n",
    "    #print(t,\" prior to rebalanceTWP call, mWPs, tWPs are\",maxWedgePop, targetWedgePop)\n",
    "    targetWedgePop, willFill = rebalanceTWPs(maxWedgePop, targetWedgePop, barredList)\n",
    "    #if np.max(targetWedgePop) - np.min(targetWedgePop) > 0.02 * aDP: #debug\n",
    "    #    print(\"for tract\",t,\",  After rebalancing but before tweaks for blocky pop adds: willFill, targetWedgePops and maxWedgePops are ...\")\n",
    "    #    for w in range(nWedges):\n",
    "    #        print(w, willFill[w],r3(targetWedgePop[w]),int(maxWedgePop[w]) )\n",
    "    for w in range(nWedges):  #WHEW!  WE CAN FINALLY ASSIGN ALL WEDGES' POPS AND TRACTLISTS\n",
    "        loop = 0\n",
    "        if willFill[w] == 0:  #wedge is maxed out\n",
    "            wedgePop[w] = maxWedgePop[w]\n",
    "            #wedgeList[w] = ...  #we already captured this list = maxWedge list\n",
    "            HDradius[t][w] = maxD/math.cos(0.5*wedgeAngle[w])\n",
    "        else:  #need to solve for wedge radius to meet targetPop.  Use bisection as scipy minimize no faster\n",
    "            HDcpWP = hdCPpop[t] * wedgeAngle[w]/(2.*pi)\n",
    "            nonHDcpTWP = targetWedgePop[w] - HDcpWP\n",
    "            #wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeB(nontractTWP,t,hC,maxWedgePoly[w],tolerPop,tractCP, tractPop,\n",
    "            #                                                        countyNo,countyTractList,countyGeom, neighborCountyList,uuDist[t])\n",
    "            wedgePop[w], wedgeList[w], HDradius[t][w] = solveWedgeC(nonHDcpTWP,t,hC, maxWedgePoly[w],startAngle[w], endAngle[w], tolerPop,\n",
    "                                                                    hdCP, hdCPpop,HDcountyNo, countyHDlist,countyGeom,\n",
    "                                                                    opt2nbrCtyList,uuDist[t],uuAngle[t])\n",
    "            popGap = nonHDcpTWP - wedgePop[w]  #gap between target and solved wedge pop; can be negative\n",
    "            notYetAdjusted, nextW = True, w+1  #looking to adjust a later wedge's target pop to minimize drift in total HD pop\n",
    "            while notYetAdjusted and nextW < nWedges:\n",
    "                if willFill[nextW] == 1 and maxWedgePop[nextW] > targetWedgePop[nextW] + popGap :  #can accommodate\n",
    "                    targetWedgePop[nextW] += popGap\n",
    "                    notYetAdjusted = False\n",
    "                nextW +=1          \n",
    "\n",
    "        HDangle[t][w] = startAngle[w]\n",
    "    #print(t,\"tract. After TWP adjustment, targetWedgePops are\",targetWedgePop)\n",
    "    HDtractList[t] = [t]\n",
    "    totPop = hdCPpop[t]\n",
    "    for nW in range(nWedges):\n",
    "        for tt in wedgeList[nW]:\n",
    "            HDtractList[t].append(tt)  #building the list of tracts in the Home District  (we'll keep up with below changes)\n",
    "            totPop += hdCPpop[tt]\n",
    "    offsetPop = totPop - aDP  #we have solved for all wedge radii to get each within one tractPop of target ... \n",
    "    HDvPop[t] = totPop\n",
    "    #if offsetPop > 0:   #... now include a splitPoly to nail the avg District Pop\n",
    "    #    isOver = True  #we slightly overshot.  ID the farthest-away tract for split-jettison\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], hdCPpop, neighborList)\n",
    "    #    HDvPop[t] = totPop - (1. - splitTractUse[t]) * tractPop[splitTractNo[t]]\n",
    "    #if offsetPop < 0:\n",
    "    #    isOver = False  #we have undershot.  Pick up the nearest contiguous tract that can be split to fill the gap\n",
    "    #    splitTractNo[t], splitTractUse[t] = getPartialTract(t, HDtractList[t], offsetPop, uuDist[t], tractPop, neighborList)\n",
    "    #    HDtractList[t].append(splitTractNo[t])\n",
    "    #    HDvPop[t] = totPop + splitTractUse[t]*tractPop[splitTractNo[t]]       \n",
    "    #if abs(1. - HDvPop[t]/aDP) > 0.005 :  #something went wrong with pop assignation for this HD\n",
    "    #    print(\"WARNING! Total Home District pop was\",HDvPop[t],\"vs target\",aDP,\"for tract\",t)   ##### hdCP topology not yet known; skip partial\n",
    "        \n",
    "    HDPoly1[t] = dummyPoly  #tractGeom[t] #skip constructing the HD poly shape.  Do compute area of the Home District, including final partial\n",
    "    HDarea[t] = 0.\n",
    "    for tt in HDtractList[t]:\n",
    "        if tt == splitTractNo[t]:\n",
    "            tractUse[tt] += nDistricts * HDweight[t] * splitTractUse[t] \n",
    "            #HDarea[t]   += tractArea[tt] * splitTractUse[t]  #these are original (nonsquished) areas\n",
    "            \n",
    "        else:\n",
    "            tractUse[tt] += nDistricts * HDweight[t]\n",
    "            #HDarea[t]    += tractArea[tt]\n",
    "            #HDPoly1[t] = HDPoly1[t].union(tractGeom[tt])\n",
    "    HDPoly1[t] = buildPoly(hdCP[t],HDradius[t], HDangle[t] )\n",
    "    #HDarea[t] = HDPoly1[t].area + splitTractUse[t] * tractArea[splitTractNo[t]]  \n",
    "    #if splitTractUse[t] > 0.5:\n",
    "    #    HDPoly1[t] = HDPoly1[t].union(tractGeom[splitTractNo[t]])\n",
    "                          \n",
    "    #ALL DONE ESTABLISHING THE FINAL HDTRACTLIST.  FINALIZE STATS\n",
    "totalTime = time.time() - codeStartTime\n",
    "print(r3(totalTime),\"seconds elapsed. All done computing HD shapes and tractlists.  Here is a histogram of vtd usage.\")\n",
    "n_bins=50\n",
    "popTractUse, plotWts = [tractUse[t] for t in populatedTractList], [HDweight[t] for t in populatedTractList]\n",
    "\n",
    "origHDuseAvg, origHDuseSD = getWeightedAvgAndSD(tractUse,HDweight)\n",
    "print(\"vtd avg and sd usage are\",r5(origHDuseAvg), r5(origHDuseSD) )\n",
    "\n",
    "fig, ax = plt.subplots(tight_layout=True)\n",
    "ax.hist(popTractUse, bins=n_bins, weights=plotWts)\n",
    "plt.show()\n",
    "HDvPop = [np.sum([hdCPpop[tt] for tt in HDtractList[t]]) for t in range(nHDs)]\n",
    "plt.scatter([hdCPpop[t] for t in populatedTractList],[HDvPop[t] for t in populatedTractList] )\n",
    "print(\"here are your HD pops\")\n",
    "plt.show()\n",
    "origHDHDtractList = [HDtractList[t].copy() for t in range(nHDs)] #save for posterity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b7f36a0f-a3c6-4b07-aecd-9e010b02918f",
   "metadata": {},
   "outputs": [],
   "source": [
    "DATE = \"16May\"  #note for WA - generated HDtractLists, got to contig HDs day1.  came back day 2 to square up"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "37c238bb-b340-431b-ad11-95e4409d9699",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now we will write the polygon-based results to a file\n"
     ]
    }
   ],
   "source": [
    "#last block of option 2 (i.e. generating polygonal HDs from scratch)\n",
    "print(\"Now we will write the polygon-based results to a file\")\n",
    "tractNo = [t for t in range(nHDs) ]\n",
    "HDangle0 = [HDangle[t][0] for t in range(nHDs) ]\n",
    "HDangle1 = [HDangle[t][1] for t in range(nHDs) ]\n",
    "HDangle2 = [HDangle[t][2] for t in range(nHDs) ]\n",
    "HDangle3 = [HDangle[t][3] for t in range(nHDs) ]\n",
    "HDradius0 = [HDradius[t][0] for t in range(nHDs)]\n",
    "HDradius1 = [HDradius[t][1] for t in range(nHDs)]\n",
    "HDradius2 = [HDradius[t][2] for t in range(nHDs)]\n",
    "HDradius3 = [HDradius[t][3] for t in range(nHDs)]\n",
    "hdCPx, hdCPy =   [hdCP[t].x for t in range(nHDs)], [hdCP[t].y for t in range(nHDs)]\n",
    "\n",
    "paramList = [\"STATE\",\"statePop\",\"nDistricts\",\"nHDs\",\"nWedges\",\"popn-toler\",\"levelL\", \"maxAngleRatio\",\n",
    "             \"maxAngle\",\"minAdjRatio\",\"maxUncap\", \"oppWt\", \"calc sec\",\"xScale\",\"outputs...\"]\n",
    "paramValues = [STATE,statePop, nDistricts, nHDs, nWedges, tolerPop, levelL, maxAngleRatio, maxAngle, minAdjRatio, maxUncap,\n",
    "               oppWt, totalTime, xScale, -777]\n",
    "for i in range(nHDs-len(paramList)):\n",
    "    paramList.append(\".\")\n",
    "    paramValues.append(-99)  #so all columns have same number of entries, even the parameter list\n",
    "HDdf = pd.DataFrame( {\"paramList\": paramList,\"paramValues\":paramValues,\"countyNo\":HDcountyNo,\n",
    "                    \"tractNo\":tractNo,\"centroid x\":hdCPx,\"centroid y\":hdCPy,\"tractPop\":hdCPpop,\n",
    "                    \"HDweight\":HDweight,\"HD-pop\":HDvPop,\"HDarea\":HDarea, \"countyNo\":countyNo,\n",
    "                    \"startAngle\":angle0,\"HDangle0\":HDangle0,\"HDangle1\":HDangle1,\"HDangle2\":HDangle2,\"HDangle3\":HDangle3,\n",
    "                    \"HDradius0\":HDradius0,\"HDradius1\":HDradius1,\"HDradius2\":HDradius2, \"HDradius3\":HDradius3,\"tractUse\":tractUse,\n",
    "                    \"splitTractNo\":splitTractNo,\"splitTractUse\":splitTractUse,\"HDtractList\":HDtractList} ) \n",
    "\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Bnopatch\"+str(int(nDistricts))+\"nW4.csv\"  #solveWedgeB\n",
    "outname = STATE+str(int(nHDs))+\"convexHD2_\"+str(int(nDistricts))+\"nW4_\"+DATE+\".csv\"  #solveWedgeC\n",
    "#outname = STATE+str(int(nTracts))+\"HD2Buutpatch\"+str(int(nDistricts))+\"nW4.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "HDdf.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "075013a3-f3ee-4a44-ac4a-27a7492e027a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "./2024state_HD_output/WA7434convexHD2_10nW4_16May.csv\n"
     ]
    }
   ],
   "source": [
    "print(\"./\"+outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6e7e8ccd-8e11-4d6d-970d-b059401e0a3b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the original HD polygon shape assignment csv, e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv ./2024state_HD_output/WA7434convexHD2_10nW4_16May.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "I have read back in the original HD shapes\n",
      "Ready to capture unit centroids based on these HD poly shapes; see next block\n"
     ]
    }
   ],
   "source": [
    "#OPTION 2 --> 1 - we already have an ensemble of HDpoly's and their weights (from running option 2 above)\n",
    "#read them in\n",
    "#determine each cluster's required area fraction capture to get 1.00 cluster use across the HD set\n",
    "#then determine total pop (including cluster in/out) for each HD, and total unit use\n",
    "#then move into triage\n",
    "infilename = input(\"enter the original HD polygon shape assignment csv, \"+ \n",
    "                   \"e.g. ./2024state_HD_output/FL7211convexHD2_26nW4_03Mar.csv or ./state_HD_output/AZ9HD1tol0.005nW425Mar.csv\")\n",
    "shapeDF = pd.read_csv(infilename)\n",
    "HDvPop = shapeDF[\"HD-pop\"].to_list()\n",
    "HDweight = shapeDF['HDweight'].to_list() #shapeDF['HDwt'].to_list() or #shapeDF['HDweight'].to_list()\n",
    "HDarea = shapeDF['HDarea'].to_list()\n",
    "#tractPop = shapeDF['tractPop'].to_list()   #we will use vtd-mapped pops instead\n",
    "nHDs = len(shapeDF)\n",
    "hdCPx = shapeDF['centroid x'].to_list()   #note: these may be translated from outcroppings into a convex representation of the map\n",
    "hdCPy = shapeDF['centroid y'].to_list()\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs) ]\n",
    "HDradius0 = shapeDF['HDradius0'].to_list()\n",
    "HDradius1 = shapeDF['HDradius1'].to_list()\n",
    "HDradius2 = shapeDF['HDradius2'].to_list()\n",
    "HDradius3 = shapeDF['HDradius3'].to_list()\n",
    "HDangle0 = shapeDF['HDangle0'].to_list()\n",
    "HDangle1 = shapeDF['HDangle1'].to_list()\n",
    "HDangle2 = shapeDF['HDangle2'].to_list()\n",
    "HDangle3 = shapeDF['HDangle3'].to_list()\n",
    "HDradius, HDangle = list(), list()\n",
    "for t in range(nHDs):\n",
    "    HDradius.append( [HDradius0[t],HDradius1[t],HDradius2[t],HDradius3[t] ] )\n",
    "    HDangle.append(  [HDangle0[t], HDangle1[t], HDangle2[t], HDangle3[t]  ] )\n",
    "print(\"I have read back in the original HD shapes\")\n",
    "popHDlist = list()\n",
    "HDpoly = [dummyPoly for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    if HDweight[t] > 0.000001:\n",
    "        popHDlist.append(t)\n",
    "        HDpoly[t] = buildArcPoly(hdCP[t],HDradius[t], HDangle[t], xScale)\n",
    "if \"countyNo\" in shapeDF.columns.values:  #\"pigs\" == \"can fly\":\n",
    "    HDcountyNo = shapeDF['countyNo'].to_list()\n",
    "else:\n",
    "    print(\"County numbers not in input file. Now I will assign each HD center to a county based on the county geoms\")\n",
    "    HDcountyNo = [-999]*nHDs\n",
    "    for t in popHDlist:\n",
    "        for c, geom in enumerate(countyGeom):\n",
    "            if geom.contains(hdCP[t]):\n",
    "                HDcountyNo[t] = c\n",
    "                break\n",
    "    unassignedList = list()\n",
    "    for t in popHDlist:\n",
    "        if HDcountyNo[t] == -999:\n",
    "            unassignedList.append(t)\n",
    "    if len(unassignedList) > 0:\n",
    "        print(\"I found\",len(unassignedList),\"populd HDs whose centers fall outside vtd-based county lines.  Assign to closest county\")\n",
    "        for t in unassignedList:\n",
    "            minDist = maxD\n",
    "            for c in range(nCounties):\n",
    "                dist = countyGeom[c].distance(hdCP[t])\n",
    "                if dist < minDist:\n",
    "                    minDist = dist\n",
    "                    HDcountyNo[t] = c\n",
    "    if len(unassignedList) > 0:\n",
    "        if len(unassignedList) > 20:\n",
    "            print(\"  (too many to plot individually)\")\n",
    "        else:\n",
    "            print(\"FYI, here are those manually assigned HDcenters to their counties\")\n",
    "            for t in unassignedList:\n",
    "                print(t,HDweight[t],\" is the HD row and its weight in the ensemble\")\n",
    "                plotPoly(hdCP[t].buffer(0.1))\n",
    "                plotCenter(int(HDvPop[t]),hdCP[t],6)\n",
    "                plotPoly(countyGeom[HDcountyNo[t]])\n",
    "                plotPoly(MAP,0.2)\n",
    "                plt.show()\n",
    "print(\"Ready to capture unit centroids based on these HD poly shapes; see next block\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "3f0f8434-5f7a-41d1-bd86-07ec230b4aef",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "now, let me renormalize the HDweights if there were cut districts\n",
      "our HDweight sum was 0.9999999999997742 but is now 1.0\n"
     ]
    }
   ],
   "source": [
    "print(\"now, let me renormalize the HDweights if there were cut districts\")\n",
    "sumWt = np.sum(HDweight)\n",
    "HDweight = [HDweight[t]/sumWt for t in range(nHDs) ]\n",
    "\n",
    "print(\"our HDweight sum was\",sumWt,\"but is now\",np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "af22eba0-8e05-43e7-b96b-6aedab016957",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see early states for continuing w/option 1.  NC and later use option 3 ....\n",
    "#if this is a cold restart, would need to read in unit topology before below block"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "8d5f678f-c2df-4ee7-bafe-fd75ba2cb42e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\n"
     ]
    }
   ],
   "source": [
    "#OPTION 3 \n",
    "print(\"lead = 'option3' - create HDunitLists based on each HD's tractList, with in-out for multiVTD units\")\n",
    "HDtractListString = shapeDF[\"HDtractList\"]\n",
    "HDtractList = [ast.literal_eval(HDtractListString[t]) for t in range(nHDs)]\n",
    "nCCBs = len(CCBlist)\n",
    "CCBpopFrac = [[0. for j in range(nCCBs) ]  for t in range(nHDs)]\n",
    "\n",
    "unitParentVTDno = [-999 for u in range(nUnits)]\n",
    "for u in range(nUnits):    \n",
    "    if allUnits[u] %1 == 0:\n",
    "        v = allUnits[u]\n",
    "        unitParentVTDno[u] = parentVTDno[v]\n",
    "              "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "ec034144-b3dc-4b72-9350-6d85cabcb8a2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\n",
      "working on vtd --> unit conversion for HD 1 last HD had pop 770521.0\n",
      "working on vtd --> unit conversion for HD 1001 last HD had pop 666708.0\n",
      "working on vtd --> unit conversion for HD 2001 last HD had pop 769746.0\n",
      "working on vtd --> unit conversion for HD 3001 last HD had pop 653197.0\n",
      "working on vtd --> unit conversion for HD 4001 last HD had pop 740680.0\n",
      "working on vtd --> unit conversion for HD 5001 last HD had pop 769755.0\n",
      "working on vtd --> unit conversion for HD 6001 last HD had pop 770518.0\n",
      "working on vtd --> unit conversion for HD 7001 last HD had pop 630559.422\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option3, now assigning each HD's units (excluding CCB's) based on the captured whole vtd's\" )\n",
    "HDunitList = [ list() for t in range(nHDs) ]\n",
    "for t in range(nHDs):\n",
    "    if t %1000 == 1:\n",
    "        print(\"working on vtd --> unit conversion for HD\",t,\"last HD had pop\",r3( np.sum([unitPop[u] for u in HDunitList[t-1]]) ) )\n",
    "    capturedCountyPop = [0. for c in range(nCounties)]\n",
    "    capturedCCBpop = [0. for i in range(nCCBs)]\n",
    "    for v in HDtractList[t]:\n",
    "        c = HDcountyNo[v]\n",
    "        if c in range(nCounties):  #we assigned countyno = -999 to unpopulated tracts\n",
    "            if c in unitCounties:\n",
    "                capturedCountyPop[c] += tractPop[v]\n",
    "            elif c in allFusedCounties:\n",
    "                for i, L in enumerate(CCBlist):\n",
    "                    if c in L:\n",
    "                        capturedCCBpop[i] += tractPop[v]\n",
    "            else:  #this vtd not part of a unit or fused county.  Could be split into fragments\n",
    "                for u in countyUnitList[c]:\n",
    "                    if unitParentVTDno[u] == v :  #we assign all units = vtd fragments from this HDTL-captured vtd\n",
    "                        HDunitList[t].append(u)\n",
    "    for c in unitCounties:\n",
    "        if capturedCountyPop[c] > 0.5 * countyPop[c]:\n",
    "            HDunitList[t].append(allUnits.index(c+0.5))\n",
    "    for i in range(nCCBs):  #don't yet assign in/out CCBs.  We'll do so in below block.  Just update max possible use for each CCB\n",
    "        CCBpopFrac[t][i] = capturedCCBpop[i] / CCBpop[i]\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "1494814c-7b90-425c-b8b1-3a2006bdeb2d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\n",
      "CCBno 0 with pop 139080.0 would be used 2.222 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 1 with pop 110132.0 would be used 2.975 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 2 with pop 67024.0 would be used 1.814 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n",
      "CCBno 3 with pop 17788.0 would be used 1.183 if we added it to all adjoining districts\n",
      "Here is the histogram of relative district pop with these added\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if we are not allowed to use multiple CCB's in a single HD 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CCBno 0 with pop 139080.0 would be used 2.2217788033947246 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 1 with pop 110132.0 would be used 2.9751101874155887 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 2 with pop 67024.0 would be used 1.8143712085256996 if we added it to all adjoining districts with no 2-CCB districts\n",
      "CCBno 3 with pop 17788.0 would be used 1.1834182296531102 if we added it to all adjoining districts with no 2-CCB districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Continuing option 3.  Determine each CCB's use if we add it to all adjoining HDs\")\n",
    "CCBwouldUse = [0. for i in range(nCCBs)]\n",
    "CCBaddCandidates = [list() for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    jNo = allUnits.index(j+0.25)\n",
    "    ccbNbrSet = set(unitNbrs[jNo])\n",
    "    withCCBpopRat = list()\n",
    "    for t in range(nHDs):\n",
    "        if len(ccbNbrSet.intersection(set(HDunitList[t]))) > 0:\n",
    "            CCBwouldUse[j] += HDweight[t] * nDistricts\n",
    "            CCBaddCandidates[j].append(t)\n",
    "            withCCBpopRat.append((np.sum([unitPop[u] for u in HDunitList[t]]) + CCBpop[j]) / aDP )\n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",r3(CCBwouldUse[j]),\"if we added it to all adjoining districts\")\n",
    "    print(\"Here is the histogram of relative district pop with these added\")\n",
    "    plt.hist(withCCBpopRat,histtype=\"step\",label=\"CCB \"+str(j))\n",
    "plt.legend()\n",
    "plt.show()\n",
    "\n",
    "avoidMultiCCBuse = int(input(\"enter 1 if we are not allowed to use multiple CCB's in a single HD\"))  #option by state\n",
    "if avoidMultiCCBuse == 1:\n",
    "    for j in range(nCCBs):  #this block -- preventing HDs from picking up multiple CCB's; instead, pick up the closest one  \n",
    "        jNo = allUnits.index(j+0.25)\n",
    "        for jj in range(j+1, nCCBs):\n",
    "            jjNo = allUnits.index(j+0.25)\n",
    "            for t in CCBaddCandidates[j].copy():\n",
    "                if t in CCBaddCandidates[j]:\n",
    "                    if t in CCBaddCandidates[jj].copy():\n",
    "                        dist_j, dist_jj = hdCP[t].distance(unitCP[jNo]), hdCP[t].distance(unitCP[jjNo])\n",
    "                        if dist_j > dist_jj:\n",
    "                            CCBaddCandidates[j].remove(t)  #for MN, don't allow any districts with two CCB's\n",
    "                            CCBwouldUse[j] -= HDweight[t] * nDistricts\n",
    "                        else:\n",
    "                            CCBaddCandidates[jj].remove(t)\n",
    "                            CCBwouldUse[jj] -= HDweight[t] * nDistricts\n",
    "for j in range(nCCBs):    \n",
    "    print(\"CCBno\",j,\"with pop\",CCBpop[j],\"would be used\",CCBwouldUse[j],\"if we added it to all adjoining districts with no 2-CCB districts\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "0d38eb0e-b516-4fd4-bb9e-6ca0eecfa772",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\n",
      "For PA, I recommend CCBuse of 1.03, 1.03, 1.01 to account for later shedding\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 0 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 0 is 1.02184 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 1 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 1 is 1.02337 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 2 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 2 is 1.02227 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter target CCBuse for CCB 3 I reco 1.02, as we may lose a little later 1.02\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final unit use of CCB 3 is 1.02078 ; here is a histogram of HDpop using this CCB\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Continuing option 3. Now assign CCB units.  For each, work from most to least underpopped\")\n",
    "print(\"For PA, I recommend CCBuse of 1.03, 1.03, 1.01 to account for later shedding\")\n",
    "#previously, we went from most-used to least-used CCB vtds until each has unit use\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "CCBuse = [0. for i in range(nCCBs)]\n",
    "for j in range(nCCBs):\n",
    "    minCCBuse = float(input(\"enter target CCBuse for CCB \"+str(j)+\" I reco 1.02, as we may lose a little later\"))\n",
    "    postCCBaddPops = list()\n",
    "    unitNo = allUnits.index(j+0.25)\n",
    "    #ccbNbrSet = set(unitNbrs[unitNo])\n",
    "    #ccbFrac = [-1.*CCBpopFrac[t][j] for t in range(nHDs) ]  # -1 to go from most- to least-used\n",
    "    #idx = np.argsort(ccbFrac)\n",
    "    preCCBpop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in CCBaddCandidates[j]]\n",
    "    idx = np.argsort(preCCBpop)\n",
    "    i = 0\n",
    "    t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "    while CCBuse[j] < minCCBuse  and i < len(CCBaddCandidates[j]) :  #and CCBpopFrac[t][j] > 0:\n",
    "        t = CCBaddCandidates[j][idx[i]] #idx[i]\n",
    "        CCBuse[j] += HDweight[t] * nDistricts\n",
    "        HDunitList[t].append(unitNo)\n",
    "        postCCBaddPops.append(np.sum([unitPop[u] for u in HDunitList[t] ]))\n",
    "        i +=1\n",
    "    unitUse[unitNo] = CCBuse[j]\n",
    "    print(\"final unit use of CCB\",j, \"is\",r5(CCBuse[j]),\"; here is a histogram of HDpop using this CCB\")\n",
    "    plt.hist(postCCBaddPops)\n",
    "    plt.axvline(aDP,ls=\"--\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "cf747d9c-cf6d-420e-9c3c-6723619586ac",
   "metadata": {},
   "outputs": [],
   "source": [
    "#end of preliminaries for \"option 3\" - converting HDtractlists to unit lists instead of option 2's geometric probing"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "26102ca2-79c1-48db-b873-7fa3a1553911",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "dc26d08c-a5d9-4e7e-9da5-ae98cf658a3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here is the histogram of HD pops relative to aDP\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "orig unit avg and sd usage are 0.99583 0.19655\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs) ]\n",
    "print(\"Here is the histogram of HD pops relative to aDP\")\n",
    "plt.hist([HDvPop[t] / aDP for t in range(nHDs) ], bins=20, weights = HDweight, label= \"HDpop / target\" )\n",
    "plt.show()\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "53e4c298-e6cb-4fee-a511-b8f6c3940539",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "c4183011-724a-4014-8c94-f9f9382c7e75",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Did I grossly overuse any units, or skip any live ones?\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "above: underused < 0.5; below overused > 1.6\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"Did I grossly overuse any units, or skip any live ones?\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < 0.5 and unitPop[u] > 5:\n",
    "        plotPoly(unitGeom[u])\n",
    "        #print(u,unitPop[u], unitUse[u])\n",
    "        #for c in range(nCounties):\n",
    "        #    if u in countyUnitList[c]:\n",
    "        #        print(u,\"is in county\",c)\n",
    "        #        print(\"its neighbor units are\",unitNbrs[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"above: underused < 0.5; below overused > 1.6\")\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 1.6:\n",
    "        plotPoly(unitGeom[u],0.3)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "ce9292b0-7d6a-419a-9491-d0def779ad04",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are a total of 7432 populated HDs out of 7434\n"
     ]
    }
   ],
   "source": [
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if len(HDunitList[t]) > 0:\n",
    "        popHDlist.append(t)\n",
    "populatedTractList = popHDlist.copy()\n",
    "print(\"there are a total of\",len(populatedTractList),\"populated HDs out of\",nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "f7f36559-7f1d-4203-8b24-0e8cc2ce1753",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this will show if we had any duplicated units in HDunitLists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this will show if we had any duplicated units in HDunitLists\")\n",
    "excess = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    excess[t] = len(HDunitList[t]) - len(set(HDunitList[t]))\n",
    "plt.hist(excess)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "27bc7f0a-d7ff-4c68-830f-29ba5013c314",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#popHDlist = populatedTractList.copy()  #somehow our popHDlist started to include the cut District HD starters\n",
    "HDunitList = [list(set(HDunitList[t])) for t in range(nHDs)]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t]]) for t in range(nHDs)]\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "af8a4945-40c2-40df-8dd4-d516f4de2f0f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 701 time is now 215\n",
      "working on HD 1401 time is now 408\n",
      "working on HD 2101 time is now 592\n",
      "working on HD 2801 time is now 753\n",
      "working on HD 3502 time is now 914\n",
      "working on HD 4202 time is now 1186\n",
      "working on HD 4902 time is now 1441\n",
      "working on HD 5602 time is now 1701\n",
      "working on HD 6302 time is now 1969\n",
      "working on HD 7002 time is now 2216\n",
      "out of 7432 total HDs, there were 4524.0 contiguous and 797.0 complement-contiguous HDs\n",
      "2619 HDs had both discontiguity problems, while enclave-only = 4016 and discontig only= 289\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 2908 4016\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"FIND DISCO\" CODE\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%700 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs,4) #,6) #6 is high (slow) to try to avoid false enclaves\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "40f06e44-45be-4a36-b62c-26698af70e06",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 732001 district pop vs 770528 target\n",
      "we'll also trim any HD with total islands' pop <= 15410\n",
      "working on HD 6\n",
      "working on HD 387\n",
      "working on HD 785\n",
      "working on HD 1234\n",
      "working on HD 1680\n",
      "working on HD 2190\n",
      "working on HD 2702\n",
      "working on HD 3240\n",
      "working on HD 3729\n",
      "working on HD 4202\n",
      "working on HD 4633\n",
      "working on HD 5327\n",
      "working on HD 5902\n",
      "working on HD 6524\n",
      "working on HD 7094\n",
      "Out of 2908 discontig HDs 2908 had discontig HDs.\n",
      "Of these, 2849 won't be under 732001 after all minor discontigys were shed, while 59 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "reclassifying HD 6\n",
      "reclassifying HD 999\n",
      "reclassifying HD 2190\n",
      "reclassifying HD 3462\n",
      "reclassifying HD 4633\n",
      "reclassifying HD 6199\n",
      "There are 59 HDs still with both discontinuity problems\n",
      "Additionally, 2574 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%200 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for i, t in enumerate(sPgenerator):    \n",
    "    if i%500 == 0:\n",
    "        print(\"reclassifying HD\",t)\n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "4037f8cb-661b-4032-bfb9-e147975e3bbb",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Classify further: ID those with adjoiners intersecting the map boundary vs internal islands\n",
      "working on enclave-generating HD 0 0 seconds elapsed\n",
      "working on enclave-generating HD 1335 5 seconds elapsed\n",
      "working on enclave-generating HD 2339 12 seconds elapsed\n",
      "working on enclave-generating HD 3363 17 seconds elapsed\n",
      "working on enclave-generating HD 4276 25 seconds elapsed\n",
      "working on enclave-generating HD 5043 34 seconds elapsed\n",
      "working on enclave-generating HD 5796 43 seconds elapsed\n",
      "working on enclave-generating HD 6541 52 seconds elapsed\n",
      "working on enclave-generating HD 7403 60 seconds elapsed\n",
      "working on enclave-generating HD 1172 66 seconds elapsed\n",
      "working on enclave-generating HD 2731 73 seconds elapsed\n",
      "working on enclave-generating HD 4127 79 seconds elapsed\n",
      "working on enclave-generating HD 5511 89 seconds elapsed\n",
      "working on enclave-generating HD 7082 99 seconds elapsed\n",
      "Out of 6590 HDpolys that generated enclaves, 0 had contiguous adjrs, while 4394 neighbored a state boundary while 2196 had only internal enclaves\n"
     ]
    }
   ],
   "source": [
    "print(\"Classify further: ID those with adjoiners intersecting the map boundary vs internal islands\")\n",
    "internals, edgers, nOK = list(), list(), 0\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(eLgenerator):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on enclave-generating HD\",t,int(time.time()-startTime),\"seconds elapsed\")\n",
    "    twoNbrs = get2nbrs(HDunitList[t],unitNbrs)\n",
    "    isContig, adjSublist = isContiguous(twoNbrs,unitNbrs)\n",
    "    if isContig:\n",
    "        nOK +=1\n",
    "    else:\n",
    "        if len (set(getAdjoiners(HDunitList[t],unitNbrs)).intersection(set(borderUnits)))  > 0:\n",
    "            edgers.append(t)\n",
    "        else:\n",
    "            internals.append(t)\n",
    "print(\"Out of\",len(eLgenerator),\"HDpolys that generated enclaves,\",nOK,\"had contiguous adjrs, while\",len(edgers),\n",
    "      \"neighbored a state boundary while\",len(internals),\"had only internal enclaves\")   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "05f929ce-4f94-47a6-baf4-60c5a89e2ae5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 809054 district pop vs 770528 target\n",
      "working on enclave-y HD 89 . We have evaluated 0 of 6590 enclavy HDs.Time is now 0\n",
      "working on enclave-y HD 4010 . We have evaluated 200 of 6590 enclavy HDs.Time is now 46\n",
      "working on enclave-y HD 4673 . We have evaluated 400 of 6590 enclavy HDs.Time is now 109\n",
      "working on enclave-y HD 5030 . We have evaluated 600 of 6590 enclavy HDs.Time is now 176\n",
      "working on enclave-y HD 5431 . We have evaluated 800 of 6590 enclavy HDs.Time is now 243\n",
      "working on enclave-y HD 5799 . We have evaluated 1000 of 6590 enclavy HDs.Time is now 305\n",
      "working on enclave-y HD 6193 . We have evaluated 1200 of 6590 enclavy HDs.Time is now 372\n",
      "working on enclave-y HD 6546 . We have evaluated 1400 of 6590 enclavy HDs.Time is now 440\n",
      "working on enclave-y HD 6932 . We have evaluated 1600 of 6590 enclavy HDs.Time is now 509\n",
      "working on enclave-y HD 4734 . We have evaluated 1800 of 6590 enclavy HDs.Time is now 578\n",
      "working on enclave-y HD 5871 . We have evaluated 2000 of 6590 enclavy HDs.Time is now 663\n",
      "working on enclave-y HD 13 . We have evaluated 2200 of 6590 enclavy HDs.Time is now 760\n",
      "working on enclave-y HD 885 . We have evaluated 2400 of 6590 enclavy HDs.Time is now 828\n",
      "working on enclave-y HD 1445 . We have evaluated 2600 of 6590 enclavy HDs.Time is now 907\n",
      "working on enclave-y HD 1902 . We have evaluated 2800 of 6590 enclavy HDs.Time is now 966\n",
      "working on enclave-y HD 2296 . We have evaluated 3000 of 6590 enclavy HDs.Time is now 1045\n",
      "working on enclave-y HD 2679 . We have evaluated 3200 of 6590 enclavy HDs.Time is now 1098\n",
      "working on enclave-y HD 3117 . We have evaluated 3400 of 6590 enclavy HDs.Time is now 1138\n",
      "working on enclave-y HD 3501 . We have evaluated 3600 of 6590 enclavy HDs.Time is now 1193\n",
      "working on enclave-y HD 3892 . We have evaluated 3800 of 6590 enclavy HDs.Time is now 1272\n",
      "working on enclave-y HD 4425 . We have evaluated 4000 of 6590 enclavy HDs.Time is now 1349\n",
      "working on enclave-y HD 5817 . We have evaluated 4200 of 6590 enclavy HDs.Time is now 1438\n",
      "working on enclave-y HD 7053 . We have evaluated 4400 of 6590 enclavy HDs.Time is now 1523\n",
      "working on enclave-y HD 7422 . We have evaluated 4600 of 6590 enclavy HDs.Time is now 1597\n",
      "working on enclave-y HD 478 . We have evaluated 4800 of 6590 enclavy HDs.Time is now 1686\n",
      "working on enclave-y HD 1152 . We have evaluated 5000 of 6590 enclavy HDs.Time is now 1772\n",
      "working on enclave-y HD 1764 . We have evaluated 5200 of 6590 enclavy HDs.Time is now 1851\n",
      "working on enclave-y HD 2424 . We have evaluated 5400 of 6590 enclavy HDs.Time is now 1926\n",
      "working on enclave-y HD 3078 . We have evaluated 5600 of 6590 enclavy HDs.Time is now 1963\n",
      "working on enclave-y HD 3590 . We have evaluated 5800 of 6590 enclavy HDs.Time is now 2029\n",
      "working on enclave-y HD 4171 . We have evaluated 6000 of 6590 enclavy HDs.Time is now 2118\n",
      "working on enclave-y HD 5160 . We have evaluated 6200 of 6590 enclavy HDs.Time is now 2221\n",
      "working on enclave-y HD 6439 . We have evaluated 6400 of 6590 enclavy HDs.Time is now 2342\n",
      "Out of 6590 HDs with enclaves 6590 had enclaves.\n",
      "Of these, 5968 wouldn't be over 809054 if all enclaves filled, while 622 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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9hZLj56JypZWzFqvAqn2el8ev2lcZlW1hQkUiIqIoEYsJCQHvq8aAy6vG8nt2DFOt5GGPEBERURSI1YSEAFeNERERUQBiOSEhwFVjREREFIBYTkgIAOcvNsDTPGgVonfVGOcIERERRVgsDy2tL6vE1A/3uOzNsjfntlyuGiMiIqK2YnVoydOQnkStAhbdOyRqJ3uzR4iIiNqFFqvAzopqnKmtR2ZK6zBMNPZAuCIlJDSZ610GFSoAxigcWpKzWswqgLRkTZhq5DsGQkREFPNiddm5JE6twpzbcjFl6W6oAIdgSArlonFoKZaH9CQcGiMiopgWy8vO7RX1z8bi+4bA6LRVhdGgw+L7onNoKVaH9OyxR4iIiGKWt2XnKrQuO7851xh1vSmuFPXPxs25xpgZ4ovVIT177BEiIqKYFevLzl2JU6uQ37MjxgzqjPyeHaM2CAIuD+kBl4fwJNE8pGePgRAREcWs9jBHJdbF4pCePQ6NERFRzGoPc1Tag1gb0rPHQIiIiGJWe5ij0l5IQ3qxhkNjREQUs9rDHBWKLAZCREQU02J9jgpFFofGiIgo5sXyHBWKLAZCRETULsTqHBWKLA6NERERkWIxECIiIiLFYiBEREREihWSQOjUqVO477770LFjRyQmJmLAgAH47rvvbMeFEHj22WeRnZ2NxMREFBQU4OjRow7nqK6uxvjx46HX65GamorJkyfjwoULDmX279+PG264ATqdDl27dsWCBQva1GXFihXo27cvdDodBgwYgHXr1oWiyURERBSDgh4InT9/HiNGjEBCQgI+//xzlJeX4y9/+QvS0tJsZRYsWIDXXnsNS5YsQWlpKZKTk1FYWIj6+ssp0MePH4+DBw9iw4YNWLNmDbZs2YKHHnrIdtxisWD06NHo3r07du3ahZdeegnPPfcc3nrrLVuZ7du3Y9y4cZg8eTL27NmDsWPHYuzYsSgrKwt2s4mIiCgWiSB76qmnxMiRI90et1qtwmg0ipdeesn2WE1NjdBqteKjjz4SQghRXl4uAIhvv/3WVubzzz8XKpVKnDp1SgghxBtvvCHS0tJEQ0ODw7X79Olj+/9dd90liouLHa6fl5cnHn74YVltMZvNAoAwm82yyhMREVHk+XL/DnqP0KpVqzB06FD853/+JzIzMzF48GC8/fbbtuMVFRUwmUwoKCiwPWYwGJCXl4eSkhIAQElJCVJTUzF06FBbmYKCAqjVapSWltrKjBo1ChqNxlamsLAQhw8fxvnz521l7K8jlZGuQ0RERMoW9EDoxIkTWLx4MXr37o0vvvgCU6ZMwe9//3u8//77AACTyQQAyMrKcnheVlaW7ZjJZEJmZqbD8fj4eKSnpzuUcXUO+2u4KyMdd9bQ0ACLxeLwQ0RERO1X0BMqWq1WDB06FH/+858BAIMHD0ZZWRmWLFmCiRMnBvtyQTVv3jw8//zzka4GERERhUnQe4Sys7ORm5vr8NjVV1+NkydPAgCMRiMAoKqqyqFMVVWV7ZjRaMSZM2ccjjc3N6O6utqhjKtz2F/DXRnpuLNZs2bBbDbbfn766Sd5jSYiIqKYFPRAaMSIETh8+LDDY0eOHEH37t0BADk5OTAajdi4caPtuMViQWlpKfLz8wEA+fn5qKmpwa5du2xlNm3aBKvViry8PFuZLVu2oKmpyVZmw4YN6NOnj22FWn5+vsN1pDLSdZxptVro9XqHHyIiImrHgj1Te+fOnSI+Pl688MIL4ujRo+KDDz4QSUlJYunSpbYy8+fPF6mpqWLlypVi//79YsyYMSInJ0fU1dXZyhQVFYnBgweL0tJSsXXrVtG7d28xbtw42/GamhqRlZUlJkyYIMrKysSyZctEUlKSePPNN21ltm3bJuLj48XLL78sDh06JObMmSMSEhLEgQMHZLWFq8aIiIhijy/376AHQkIIsXr1atG/f3+h1WpF3759xVtvveVw3Gq1itmzZ4usrCyh1WrFTTfdJA4fPuxQ5ty5c2LcuHGiQ4cOQq/Xi0mTJona2lqHMvv27RMjR44UWq1WdO7cWcyfP79NXZYvXy6uuuoqodFoRL9+/cTatWtlt4OBEBERRVJzi1VsP3ZWfLbnX2L7sbOiucUa6SrFBF/u3yohhIhsn1T0slgsMBgMMJvNHCYjIqKwWl9WiedXl6PSfDnZcLZBhzm35aKof3YEaxb9fLl/c68xIiKiKLO+rBJTlu52CIIAwGSux5Slu7G+rDJCNWt/GAgRERFFkRarwPOry+FquEZ67PnV5WixckAnGBgIERERRZGdFdVteoLsCQCV5nrsrKgOX6XaMQZCREREUeRMrfsgyJ9y5BkDISIioiiSmaILajnyjIEQERFRFBmWk45sgw4qN8dVaF09NiwnPZzVarcYCBEREUWROLUKc25r3arKORiS/j/ntlzEqd2FSuQLBkJERERRpqh/NhbfNwRGg+Pwl9Ggw+L7hjCPUBAFffd5IiIiClxR/2zcnGvEzopqnKmtR2ZK63AYe4KCi4EQERFRlIpTq5Dfs2Okq9GucWiMiIiIFIuBEBERESkWAyEiIiJSLAZCREREpFgMhIiIiEixGAgRERGRYjEQIiIiIsViIERERESKxUCIiIiIFIuBEBERESkWAyEiIiJSLAZCREREpFgMhIiIiEixGAgRERGRYjEQIiIiIsViIERERESKxUCIiIiIFIuBEBERESkWAyEiIiJSLAZCREREpFgMhIiIiEixGAgRERGRYjEQIiIiIsWKj3QFiIiIolmLVWBnRTXO1NYjM0WHYTnpiFOrIl0tChIGQkRERG6sL6vE86vLUWmutz2WbdBhzm25KOqfHcGaUbBwaIyIiMiF9WWVmLJ0t0MQBAAmcz2mLN2N9WWVEaoZBRMDISIiIictVoHnV5dDuDgmPfb86nK0WF2VoFjCQIiIiMjJzorqNj1B9gSASnM9dlZUh69SFBIMhIiIiJycqXUfBPlTjqIXAyEiIiInmSm6oJaj6MVAiIiIyMmwnHRkG3Rwt0hehdbVY8Ny0sNZLQoBBkJERERO4tQqzLktFwDaBEPS/+fclst8Qu0AAyEiIiIXivpnY/F9Q2A0OA5/GQ06LL5vCPMItRNMqEhERORGUf9s3JxrZGbpdoyBEBERkQdxahXye3aMdDUoRDg0RkRERIrFQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrFQIiIiIgUi4EQERERKVbIA6H58+dDpVLh8ccftz1WX1+PqVOnomPHjujQoQPuvPNOVFVVOTzv5MmTKC4uRlJSEjIzM/HEE0+gubnZocxXX32FIUOGQKvVolevXnjvvffaXH/RokXo0aMHdDod8vLysHPnzlA0k4iIiGJQSAOhb7/9Fm+++SauueYah8enT5+O1atXY8WKFfj6669x+vRp3HHHHbbjLS0tKC4uRmNjI7Zv3473338f7733Hp599llbmYqKChQXF+PXv/419u7di8cffxy//e1v8cUXX9jKfPzxx5gxYwbmzJmD3bt3Y+DAgSgsLMSZM2dC2WwiIiKKFSJEamtrRe/evcWGDRvEr371K/HYY48JIYSoqakRCQkJYsWKFbayhw4dEgBESUmJEEKIdevWCbVaLUwmk63M4sWLhV6vFw0NDUIIIZ588knRr18/h2vefffdorCw0Pb/YcOGialTp9r+39LSIjp16iTmzZsnqw1ms1kAEGaz2bfGExERUcT4cv8OWY/Q1KlTUVxcjIKCAofHd+3ahaamJofH+/bti27duqGkpAQAUFJSggEDBiArK8tWprCwEBaLBQcPHrSVcT53YWGh7RyNjY3YtWuXQxm1Wo2CggJbGSIiIlK2+FCcdNmyZdi9eze+/fbbNsdMJhM0Gg1SU1MdHs/KyoLJZLKVsQ+CpOPSMU9lLBYL6urqcP78ebS0tLgs8/3337usd0NDAxoaGmz/t1gsMlpLREREsSroPUI//fQTHnvsMXzwwQfQ6XTBPn1IzZs3DwaDwfbTtWvXSFeJiIg8aLEKlBw/h5V7T6Hk+Dm0WEWkq0QxJug9Qrt27cKZM2cwZMgQ22MtLS3YsmULFi5ciC+++AKNjY2oqalx6BWqqqqC0WgEABiNxjaru6RVZfZlnFeaVVVVQa/XIzExEXFxcYiLi3NZRjqHs1mzZmHGjBm2/1ssFgZDRERRan1ZJZ5fXY5Kc73tsWyDDnNuy0VR/+wI1kw5WqwCOyuqcaa2HpkpOgzLSUecWhXpavkk6D1CN910Ew4cOIC9e/fafoYOHYrx48fb/p2QkICNGzfannP48GGcPHkS+fn5AID8/HwcOHDAYXXXhg0boNfrkZubaytjfw6pjHQOjUaDa6+91qGM1WrFxo0bbWWcabVa6PV6hx8iIoo+68sqMWXpbocgCABM5npMWbob68sqI1Qz5VhfVomRL27CuLd34LFlezHu7R0Y+eKmmHvtg94jlJKSgv79+zs8lpycjI4dO9oenzx5MmbMmIH09HTo9Xo8+uijyM/Px/DhwwEAo0ePRm5uLiZMmIAFCxbAZDLhmWeewdSpU6HVagEAjzzyCBYuXIgnn3wSDzzwADZt2oTly5dj7dq1tuvOmDEDEydOxNChQzFs2DC8+uqruHjxIiZNmhTsZhMRUZi0WAWeX10OV4NgAoAKwPOry3FzrjHmeidihRSIOr8HUiC6+L4hMdMrF5LJ0t688sorUKvVuPPOO9HQ0IDCwkK88cYbtuNxcXFYs2YNpkyZgvz8fCQnJ2PixIn405/+ZCuTk5ODtWvXYvr06fjb3/6GLl264O9//zsKCwttZe6++278/PPPePbZZ2EymTBo0CCsX7++zQRqIiKKHTsrqtv0BNkTACrN9dhZUY38nh3DVzGF8BaIArEViKqEEJxZ5obFYoHBYIDZbOYwGRFRlFi59xQeW7bXa7m/3TMIYwZ1Dn2FFKbk+DmMe3uH13LTC3rjsYKrwlCjtny5f3OvMSIiiimZKfJWJMstR745U+u+N87eK18ejYn5QgyEiIgopgzLSUe2QQd3gy4qtK4eG5aTHs5qKYYvAebzq8ujPqUBAyEiIoopcWoV5tzWuoLYORiS/j/nttyYmJ8Si6RAVA5prlY0YyBEREQxp6h/NhbfNwRGpxuy0aCLqRVLscg+EJVD7lBapERk1RgREVGgivpn4+ZcY8wn9ItFRf2zMb3gKrzy5RGvZaN9rhYDISIiillxahWXyIeRfSbpoT3SkJWiQVVto8uyKrT20EX7XC0GQkREROSVqy1NUpMSXJaNpblaDISIiIjII3eZpGsuNbksb4yhPd84WZqIiIjc8pRJ2p3ZxVfHRBAEMBAiIiIiD7xtaeJMBWDu2kNRnz9IwkCIiIiI3PJ1+bv9Xm+xgHOEiIiIYpT9Kq5QpQ/wd/l7tOcPkjAQIiIiikGuVnFlh2CSspRJ2mSu92meULTnD5JwaIyIiMKixSpQcvwcVu49hZLj52JmDkk0klZxOc/dMZnrMWXp7qBuduppSxNXYm2vN/YIEREpUDiGVOyFq/dCCTyt4hJoDUSeX12Om3ONQXtPpS1NnN9DVwRaV41Fe/4gCQMhIiKFCXdQ4i4HjdR7wb3BfONtFZf9ZGVfsm57C46dtzT54exFfLTzJEyWhjbnmrv2ENRqVUy8rwyEiIgUJNxBSSR6L9o7uZOQ3ZVzFfBsKDfJCo6dtzTpnZmC3324u801YinIZSBERKQQkQhKQtV7oWRyJyG7KudumwxXGaIrzfV4ZOluTB7RAwW5xjY9RC1Wgblry11eO5aCXE6WJiJSCF+CkmAJtPeC2pJWcbkLLdxNVnY3wdrdNhmSf2z7AePe3oGRL25ymIQdic9TKDAQIiJSiEgEJYH0XpBrnlZxudvs1J9tMpw5r0hrL0EuAyEiIoWIRFDib+8FeSat4jIaHN8ro0Hncl6Or9tkuCIFUc+vLkeLVbSbIJdzhIiIFMJbYjwVWm+kwQxKpN6LKUt3QwU4XNdd7wXJ47yKy1MahGD1ytgPd0Xi8xQK7BEiIlIIf4ZUgsHX3guST1rFNWZQZ+T37Oj2vQt2r8yZ2vqIfZ6CjT1CREQK4i4xnjHEyQ196b2g4PN3mwx3pMAqUp+nYFIJIZjj3A2LxQKDwQCz2Qy9Xh/p6hARBU24M0tT5EmrxoC2Q5QC7pfRw6ms0aDD1qdubDMZO5o+T77cv9kjRESkQM6J8aj989Z7I/XYbSg34Z1tP/g0pyuWP0/sEfKAPUJERNTeyOm9ifW94Xy5fzMQ8oCBEBERKVW0DXf5gkNjREREFJBYHu7yBZfPExERkWIxECIiIiLFYiBEREREisU5QkRE5FGsTpqN1XpTeDEQIiIit2J1GXWs1tsf3gI+BoSecfm8B1w+T0RKJmUidr5JSLfQaN0nLFbr7Q9vAZ+SAkJ7zCMUJAyEiKi9c9db0GIVGPniJocbqD13Wy1EWqzW2x/eAr6HRuXgrS0ViggInTGPEBEReeWpt8CQqHEbTACtWy9Umuuxs6I6qnLN7Kyojsl6+6rFKvD86nKXG6gKtAY7b3/TNgiyP/786nLcnGuM+YAwUFw1RkSkQFJvgnPQYDLXY8rS3dhQbpJ1njO17oOOSJBbn2irt6/kBHxWD+M99gFhMLVYBUqOn8PKvadQcvwcWjxVIkqwR4iISGHk9Cas3Hta1rkyU3TBrFrA5NYn2urtq2AFcsEMCGN1PhJ7hIiIFEZOb8K5i41IT06Au0ETFVpvcsNy0kNRRb8Ny0lHtkEXc/X2VUYHbVDOE6yA0FsP4/qyyqBcJxQYCBERKYzcXoDfDOoMAG2CCun/c27Ljbr5JXFqFebclgsgturtswBHnIIZEHrrYQRa5yNF6zAZAyEiIoWR2wtQkGvE4vuGwGhwLG806KJ6xVFR/+yYrLcnznNvvvy+yu9zBTsg9GWCejTiHCEiIoWRho9M5nqX3+KlJebSUvqbc40xl5CvqH92TNbblXX7T+OZlWWovtgUlPNl6bV47vZ+QQsIY32COgMhIiKFkYaPpizdDRUcR1lc9RbEqVUxudQ8Vuttn9vpy3ITVu+Xt4JPrr/cNQgjemUE7XyxPkGdgRARkQJJw0fOq3yMMbDKpz1ztfIq2M5eaAjq+XzpYYxGDISIiBSqPQ0ftQfuMkUHW7B7ZnztYYw2DISIiBQsVoeP2htPK6+CJZQ9M7Hcw8hAiIiIKMK8rbwKVDh6ZmK1h5GBEBERUYSFekVVuHpmYrGHkYEQERFRhIVqRdW0X/fEiF5XxETPTKQwECIiIoowbyuvXEnWxOFiY4vLY9J8oOk392EA5AUzSxMREUWYp61BnHVM1uCNe4fgL3cNhMpF+VhYqRVNVEKI6Nz8IwpYLBYYDAaYzWbo9fpIV4eIiGKUfZJET5OI3e3gfs913dAjI6nNc6Nhx3e5bQsnX+7fDIQ8YCBEROEQjTcSCh5fgxVfPw+R/PxEQyDmCgOhIGEgREShFq03EgoOd0kSpTAlVjeBBbwngFwSwbb5cv/mHCEioiBz3im8xSpcHv/T6oN4ZOnuNvljTOZ6TFm6G+vLKsNZbQoyT0kSpceeX13e5vMRC+QkgJz5yYGYaFvQA6F58+bhuuuuQ0pKCjIzMzF27FgcPnzYoUx9fT2mTp2Kjh07okOHDrjzzjtRVVXlUObkyZMoLi5GUlISMjMz8cQTT6C5udmhzFdffYUhQ4ZAq9WiV69eeO+999rUZ9GiRejRowd0Oh3y8vKwc+fOYDeZiMhmfVklRr64CePe3oHHlu3FuLd3YOSLm2xBjf3xd7b94PIcsX6TdMVbcCi3TCzxliRRAKg01+O9bRVR0VZfXn85CSBrLjVh4aZjwa5m0AV9+fzXX3+NqVOn4rrrrkNzczP++Mc/YvTo0SgvL0dycjIAYPr06Vi7di1WrFgBg8GAadOm4Y477sC2bdsAAC0tLSguLobRaMT27dtRWVmJ//qv/0JCQgL+/Oc/AwAqKipQXFyMRx55BB988AE2btyI3/72t8jOzkZhYSEA4OOPP8aMGTOwZMkS5OXl4dVXX0VhYSEOHz6MzMzMYDediBTO3VCB1MPz0KgcvLWlQtbyaOkmubOiOuYS1DnzNvzXYhVYuOkY3t1WgZq6JpdlYpHcJIlz1x7C37dWRLStvg7Rym3bu9srMO3GXlE95y3kc4R+/vlnZGZm4uuvv8aoUaNgNptxxRVX4MMPP8R//Md/AAC+//57XH311SgpKcHw4cPx+eef49///d9x+vRpZGVlAQCWLFmCp556Cj///DM0Gg2eeuoprF27FmVlZbZr3XPPPaipqcH69esBAHl5ebjuuuuwcOFCAIDVakXXrl3x6KOPYubMmV7rzjlCRJe1WAV2HD+HkhNnAbRmjx1+Zceo/gMXTi1WgZEvbnL7LVkFQKUCfP3i/7d7BmHMoM6BVzBCvM2ReWhUDj7+7l+oudTk/NSYn0dTcvwcxr29w6fnvHHvYNx6TacQ1cg1f+Yx+dK2jx4cHvZgPqrmCJnNZgBAenrrJm+7du1CU1MTCgoKbGX69u2Lbt26oaSkBABQUlKCAQMG2IIgACgsLITFYsHBgwdtZezPIZWRztHY2Ihdu3Y5lFGr1SgoKLCVISJ51pdV4tr/2YDx/yjFws3HsXDzMYz/eymu/Z8NnMfyCznDIP6MfoQq43A4eJsjIwC8uaXCZRAklQFid4hQSpLoy1eFaR/twbr94fud8nce07CcdKQmJsi6Rqi3DwlUSAMhq9WKxx9/HCNGjED//v0BACaTCRqNBqmpqQ5ls7KyYDKZbGXsgyDpuHTMUxmLxYK6ujqcPXsWLS0tLstI53DW0NAAi8Xi8EOkdOvLKvHI0t0ub1Y1l5rwCCf1Agj+H3sVWocmQrFTeLgEYyNR+yHCWONLkkSJVQC/+zA4v1Ny5vzIncfk/PrHqVWYNKKHrHpEezAf0kBo6tSpKCsrw7Jly0J5maCZN28eDAaD7adr166RrhJRRLVYBZ5bddBruVj9xh5Mwfxj314yAwczOAzkXJGchF3UPxuL7xsCo8G3z0egv1PeJu1L5L6urspN+bdeXp+nVgHXdk+TV+kICdleY9OmTcOaNWuwZcsWdOnSxfa40WhEY2MjampqHHqFqqqqYDQabWWcV3dJq8rsyzivNKuqqoJer0diYiLi4uIQFxfnsox0DmezZs3CjBkzbP+3WCwMhkjRdlZUw2Rp8FquvUzqDYScvaJUgKyJ0uHaKTzUghkc2p9LSiBoMteh+mIj0jtoYdS7TiQYqjxNviQxLOqfjZtzjXhvWwXmrj0k6/yB/E55m7RvP+dH7nvkqtzir457fZ5VALt+PB/VfxuCHggJIfDoo4/i008/xVdffYWcnByH49deey0SEhKwceNG3HnnnQCAw4cP4+TJk8jPzwcA5Ofn44UXXsCZM2dsq7s2bNgAvV6P3NxcW5l169Y5nHvDhg22c2g0Glx77bXYuHEjxo4dC6B1qG7jxo2YNm2ay7prtVpotdrgvBBE7YAv38KjfR6AvVBk4pWGQaYs3e024PEWBE0e0QMFucZ2k1nan41EXbEfInQV2NiXsw9wfAkIfOFPcBWnVuH+ETn4+9YK2cOF24797PNn1NucHxVae5tuzjUiTq3y+h5Jm7c6D9G2WAXe3VYhqx2na+pklYuUoAdCU6dOxYcffoiVK1ciJSXFNh/HYDAgMTERBoMBkydPxowZM5Ceng69Xo9HH30U+fn5GD58OABg9OjRyM3NxYQJE7BgwQKYTCY888wzmDp1qi1QeeSRR7Bw4UI8+eSTeOCBB7Bp0yYsX74ca9eutdVlxowZmDhxIoYOHYphw4bh1VdfxcWLFzFp0qRgN5uoXfLlG320zwOQhDKTszQM4u5G7U6sLxN3x1NwKLd3DABys1Ows6Ia5y82YOqHe9w+r/KXAGfRvUNgSEzAzH8ekB0QyBVIcCW9Ho8s3S3rWgs3X+5xkfsZ8WXOT37Pjl7fI8D1EO3OimqHVAee/Pf/7sORKgtm3Zorq3y4BX35vErl+gP17rvv4v777wfQmlDxD3/4Az766CM0NDSgsLAQb7zxhsOQ1Y8//ogpU6bgq6++QnJyMiZOnIj58+cjPv5y7PbVV19h+vTpKC8vR5cuXTB79mzbNSQLFy7ESy+9BJPJhEGDBuG1115DXl6erLZw+TwpXYtVYMT8jV6Hx7INOmx96saAejHCsV9SqLc7sB+yOXuhEQs3H4PZw81CpQIeu7E3Hr2pd7voAXLHXfB5+8BsvLWltVdBzo1ILTP9gNxygG9Lu72lSADk/S6s238a0z7a49MqQrmf0ZV7T+GxZXu9ns85LYOvXxDkXsfew6NywhYMca+xIGEgRHR51Zgnge4pFI79tuTk+TG6uIl5C9Ck4xvKTfh0zymcd7MU3BPn1689bsLqrk3ryyrx3KpymCyRGVr1JU+T3Nw5coKrdfsr8bsP5fUMSdx9RoNVR18+d/7kSFKrgO/n3gJNfOh39/Ll/h2yydJE1D4U9c/GkvuGYOYnB9osoU9LSsC8OwYEHASFYh6HM1+HDKS6eQrQPM1X8YX9EE173YQ1Tq1yGRwU9c9GijYB4/9RGoFa+TakK3ce3IZyk9dA6NZrsrFE7dswqpxs4/7O+QHcv0furpOii0dtfbP3wr+wCuD/lvyAyTdcKfs54cBAiIi8kla9BDuztK8TOwPh6zLhYG6X4Y10czPXNYYlKIwWjc1W/N+SH/DVkZ/Dfm1PAYE7coOmlXtP4+li76kPpN8rqRfmaNUFLNzsfW8uT59lf+f8+CpOrcKQbmn42sf37sfqSwFdNxQYCBGRLHFqFUb0zsCI3hlBO6c/vTT+8mWZsJwA7e1vghMESUyWeixY/33IgsJoG26bt64cb39T4Ve27UD5GxAMy0lHenICqi96Hv48d7FR9mfWvhem5Pg5WYGQt89yUf9sPDQqp/Uzavf6qlTAgzfkBC2YHtU7w+dAqHt6UlCuHUyhH6gjInIjkGRuvvK23YF9JudQbZfhSfWFBr8y/Eo8JQ2Um1wvXOatK8ebWyITBAGtPUH+9K7FqVX4jcz5RP58Zn35jHqyvqwSb7l4fa0CeGtLRdDe9wn5PXzaPkStan1OtGEgREQRE0gyN1952u7AuYcgnDmRpJtberJGVnlXdfMU6EhDfM5BljTcFu5gqLHZire+kZd/JthSExPwwW/zsPWpG/3uFSnIdZ2Q15k/n1lfPqPueOrNlAQrE7wmXo2HRuV4L/iLB2/ICctEaV9FX42ISDGC9Q1YLnfbHTj3EIQrJ5L9zc1oSJT1HOe6eQp0Hlm6GzM/cZ9LBwj/9ih//GQ/IrFWWQVg/p0DMKJXRkBDgqH+zMr9jLrj795h/pp1ay4eHpXjsWdIrQrv0nlfcY4QEUVMuCZ22nOeoOpqvkywMiI7c85vY7+VRotVINug87qC6PzFRtu/5ewc7m5nd6lMsOZgyZmD1GIVWHfA9abXofbQKN/mxrhrTzg+s3I+o+6Ec7hZMuvWXPxhdF+8v70C3/5wHokJcUjWxkGtViGnYzIm5PeIyp4gCQMhIheibWJpe+YuG3Mo99vytkxYznYZ/lg4bjDSkrUuP1dxahVmF1+N3324x+M55q4tR2H/1gnTwdjdHQj8pih3yf/OimpcamoJ6Fr+Wrn3NJ4sulrW77G39oTjM+vLUnZ74RxutqeJV+PBUT3x4KignjYsGAgROWmveVyiWSDfgENZJ3+2y3Bn0vXdces1nTyWSUv2vtehfQ9OsL7VB3JT9CUPVCT3ozNZGmT1fMlpz825RhgSNXiysI/XTV/DLZA8QkrFQIjITriS+1Fb/n4DDiUpQHtlwxFZy5o9Gd3P++fG12GNQL/VB3pT9DUPVKT3o/P2+sppz6xPDuC5VQcdtp2RvihFOggCIjPcHOuid9COKMzkzLcI98RSirw4tQojegWWO0nu5FlfhzXkTNxNTUqACv6vQvLE14m53uprX69Q8Pb6ymnP+UtNbfbei9QKPIlz6oSbc40BTbhWGvYIEf0inMn9KLYEMnlaBfnBhq/DGnK+/c+/YwAAhGQ+i689WHLmXi26t3UeVWVNHeasLkNtfXDmFBn1Wq/BqL9Dd8HOgu4LT0P5W5+6MaqGm6MVAyGiX0RitQXFBn8nT/s6t8yfYQ25E3dDMQfLn4m57urrvIfb/6w7FLQgCACeu72f1/YGMnQXiS9KwRjK58IQBkJENpFabUGxwd0NPC0pAU0tVlxouHzTTk1MwKQRPTDtxt4+31R8XZHUYhWtE3eL+qL6QgPSkzUwGhLb3NBCMQfL34m5nibHu7u5+ys1KQHzZW4MHIy0CeH6ohTIPn1S8LOh3ITP9p5GtV1KBiUuDGEgRPSLWFltwW9woefuNXa+gf9w9iJe+fJom+eb65rw6pdH0ceYIusbufNmtjfnGmX14HgaFolTq0L+WQlkYq4UmEl1XLP/NDI6aPHcqoMBB0G39Dei5xXJyL8yA8N7yt8YWGrPI0t3+33tcH1R8nco39Vnxp4SF4YwEKKoEA0391hYbcGl/e4F6zPk7TWWbuCNzVbk/flLl+eQM2ekxSqwcNNRvLnlBC41Xu5NWrj5mKxeDG/DIg+NysGqfZWyPiuBvHaB5NTxdlP2hwrA3p9qsPDeIbLa4Nx2q9X/64bzi5I/Q/lyetsiOd8pUlRCRCLZeWywWCwwGAwwm83Q6/WRrk67FW0392irj329XP0Rk/5MKekbnDNX75k/w1OeXmMBYHpBb/TISMYPZy/h7W9O4EJDs9dzfvTg8DZDUuvLKjHzkwMesz4DwBI372mLVWDki5t8DiBcfVaC9Xn3NZgK9hCYM1evu3Mdz19swNy1hxza7pz9W45I/A6WHD+HcW/v8FpOeh38+cy4eg1jhS/3b/YIUURFY96eaEzuF8h8gPbO3Weopq4Jr3x5FO9u/0HWHBE56RNcDYN54/zN3ZcAwN176m9GaefPyoZyU9B+/3yZgyRnY9BAuXrd5fQ++ZMdI5RZ0N3xdSjfn8+MUhaGMI8QRUww8/Y459EINNeP9Ed9zKDOyPdhjkGohHsjxVgh54Zac6lJVo6XYG1X4cx+zoivAYC79zSQG5T0Wdlx4lzE8maF6rW2l5mis/1d+NPqg3jExca0wTK7OPy9xb7uVO/PZ0YpC0PYI0QRE6y8PevLKvHcqnKYLHbzE/Q6PHd7+5k3w6X9rsm9oQp47zELxWvnnEjRnwDA/nMtDe0crboQcN1Kjp8LWt4sT8Niro59WR7ajVdTExNw/mKjX8OHvlLBcf+3cPJlfpYvQU20LAwJFwZCFDHBuLmvL6t0ucLDZKnHI0t3u51jEWu4tN81X4IXbzf1ULx2zpPr/Qm2qi+0ZjEO/sRieT093ursaY4R0DaRY2pSgte5UYEa2TsDUz8M3fwje5FOtCp3KF9uaoBoWRgSThwao4gJ9ObeYhWY+ckBj8+d9cmBdrElhpytFORu49Ce+Bq8eLqpy9n+wRfTC3q3CcL9CbbSkzW2eUXBCIKkz0r+lfK2DfFUZ3f1Mplbv4i4Go4KdRCUrInDdz+cD0sQZC+SvbFyhvI9DaXZU+I2HAyEKGICvbnvOHHO6x/V85easOPEOZ/rFuw5R4HydT6AUkifIbkyOrjf3V3ujUIOo16LaTf2bvO4P8FWZorOp3lF2QYdHh6V43V/seE9Owb0+ydnjl8kPHjDlQ7DieESC72x0lCa8x5k6ckJmDyiBz56cDi2PnWjooIggENjFEGB5u0pOS4vwCk5fs62aaacJb7Runw+kHwt7ZXPCfC83KHdvca+credg69bdWQbdIAKsuoy9dc9kZ6ksWWWHtglDXPXOmXBTtYgLycdZafMSNEmYHbx1Zj64R6/fv/CMeHZVw+PykHOFclhvaac+TSu/u4A8GlelT85kVw9LxpXxUYaAyGKqMBu7nK/d7aWkxPgRONyfnuu/ohd2z0Nu348j5V7Tynyj1pR/2xMHtED/9j2g9eyZy82eC0jvcYLNx3DK18e8akuchIhyg22pM1az17wXmcA+GDHSdTUXe4hzTboMLv4aqQla/FluQnLvvsJ1Rcb8XlZ60TlhZuPIzUpwWXiRTm/f5EcCnLO9ZOenID/GdMft17TSfYXpGCQEzC6zHGVlADAcZhQ+ltktQLPrCzzedsLX77AhWK7lVjGhIoeMKFi+PjzDWjb0bMY/49Sr+f+YHIeahuavCYjvDnX6HGVifTNb+tTN0ZNoBGNvVeRyBLua3I5b/xJPvf0rVfjgZE5stsqvU5flpvw6d5TqL7Y9qZY1D9bdtucSbV4aFQO3txS4bHsG/cOQVqyxqf3zN96BdPkET1QkGts05sSjtVigPffNV9yRnnrIVTBfcJGJlttiwkVKeq5ulkOy0m3PbazorrNH2PpOSZzHaovNiItSYMO2jiHzS6dpSYl4LqcdPzqpc0ekxE+/WkZ9p2s8Ws5sS83fl+7yD3x1Hv1yNLdtizI7s7pa8Di77BierIGYwd1ws1ONyxv5/SlfoHuE9dmmwUhfL6RZuq1PgV80rfy/J4d8cfiXNv1MzpoAdHae1Vy/BwGdU1FenKCQ6Akh/Q6vP2N5yAIAP605iC2zbzJp/oHY4PSQKgArCsz4Y/Fjr0xwdgvzJXWHrZc2QGjrzmjvJVzlwKCyVYDx0CIws7XruKi/tkBLR1e/NUxrwHOuYuNWLzlhKzzOe/dI7dHxp92u+NrFmRXQ4C+9CQFMqxYfbER72z7Ae9s+8Hre+pp2bWn+gUy38zd9hy+CmSyrBQUrS+rxH+v2Bfwlg/25DzXZGnwefm3t9c81MGRp2XrRf2z8ca9QzDto90BvXaS+/K64vkxA3wKJEIxh6rSXI+Fm47isYKrZF9H7vL+aNjvMVI4NOYBh8aCz9euYqC1a/+tLRV+/WENxR9kaXjFl+5of9rtqTvb12EJ+3MC8KkbXU47vQ0rOj/P3Xvq6f2S87r4E+AFut9VsIZM/alLMHPy/O2eQRgzqLPPz3OV0FTqPfnjZ973UwvUtF/3RO+sFJc373X7T+N3H+4J+Bqv3D0Ivxns22uzcu8pPLZsb8DXdsU+P5rc63h6f335vYmVgIlDYxSV/OkqVqG1a9/fG1UwgyD74RVfuqPxy799bben7mxfJ6ran1MIIbsbXW47U3QJsr/9Crh/TwPdFduXFTHB2O8qWKkL/KlLx2QNXr1rECa8u9Pv69oLbPm3Y82FEFCrgfl3DAjpxqpA66RvifPN+9ZrOmGJWoWZ/zzgMJHcV0a9769NKJfT2/8OBJqPzZcFItE4JzEYmEeIwsafrmKBwIYFgk264fnSHe1vuz3tHebPH1npnCaL+1VIzteV205fV+r4+57K2VNN7j5xwRi6CFbyOX/qcu5iI9RxKq95ieTEZ0a91q9knNJN1PkzVWVpwJRf5ugsvm+IT7meAiHdvO33lSvqn41F9w7x+5z+vjbBTtBpz/53IJB8bHL3e3x7y3FMfKfUZYJMV695rGEgRGETy/tgpSYlONzwfNkeJJB2u3tuKP/I2l9Xft3DG60G47Mk9xzO84VCkXzO3/acvdDgMdGmCsCDN+R4PY+7vEcSVwlG5d5Eb841Ynbx1XKaEzB3m8XKSZvgjrfXxp1gJuh0RfrMBJJsVe4XnRfWfY+vj5x1WwYI3Qa94cChMQqbWMi86s6icUMwovflLQnCtfeXu+f7mpjP3+vKrX/+lRn45+5TYVtBFIzPktxzLLp3CNRqVUjnRPjbnswUHfJ7dvSai2twtzTM/KTtfB05eY/cDYfcc103WTfRHSfOYe7aQ361zx/SdV/ZcAQjemVgWE66X6+vnNfGm2Al6HTFvk3+5mML1pfTSO+3FigGQhQ2/iy3VQFQBbhqBmgdHhDC94BBmhc03OmX29fl2v6021u2Wl//yErnFEKgytIgq95y2zm8Z0efArNA349g7KnmS9uAyykOXKV2CHVd3NVNeh28zY2Sju84ce6XYUyBvJyOUKtUtmX67tIhuJs/IjfZpLdd7kNl4eZjWLj5GLINOjx9y9WyUxAka+Kw5L5rcX2vjKC8x9Jr/962iqAEhO5+B/zJGB3sL6ex2uvPQIjCxtdeDOnX98Eb/F81Jrnp6kx8WX7Gr94TqVvZebWEL9sT+NNuORNwnf/4/XD2El795Qblrk4AZC8z92VZupzAzPk99bTs2tdl8L6S27YN5aaQTxD15XfD3evgLVtwnFqFEb0yMKJXBtaXVeLJf+732Kbg7SUW2eGSSnM9pi2Tt3JMBeAvdw3EDVddEdQ6xKlVuH9EDv6+tSKgXlNvvwO+ZowOdi4o+8AqVlaXAVw+7xGXz4dGsPMISeX2nDzvNoOutGTbeSuBtKQECLjeEVtOzpvbB2a3OacveYRcXT/Qm6zcnD/BziMkkZsxOZh5hALhrR7hzNjrqi7OeYRcvQ7ONx1p2xVXNyG5aR8CzRwt9Vy8/B8DZWWAj7RAh8LkJhyVJpH7c+MN5HfAXf0CrRPQNoVENKwu8+X+zUDIAwZCoeNPhmXnzNLpHbQw6i8/V872GF8/8es2Nwjpuq7Oa/+Hwt2NY5EP2xMEM7O0J3L+KIcis7S757h7bYOVWTpQ7t6XSGy54ktQA/gWPPmyjcya/af9zoPjb46pSFLB/8DWXVLOSSNyMO3GXl7fL2lfOEOSBtuPncWpmjp0Sk1E/pWXhy8D+R3wFpgEkrBWsuSX99rdHn2h+vLgDgOhIGEgFDuCvdeUxNu+RaG6GbYn0fDt0B+h+kzJITcIlJuEUXrm4wW9HTKOu/PRg8MBQHaPkLdeq2AlNgw1o14re6sR+55PTxv+uuppCmeQL7cH0L5O6Uka/Nc7O2X3EKUmJeDuoV2wcu9pj+k5wvn3kgkVSXF8Wc7ui2Clr1cqX5K1RZtQfaa8kRs4+pKEUUpG+a6HG7a9M7X1+PdrOiHboJPVS2AVwOziq5GRonV5Y09L1sq6bqSZLA1YuOkYHivo7bGcLz0oNZea8MjS3Q7ZoMO1+7uv+5DZ7/dYfE021uyXlxuo5lKT1419pWtG499LBkLULoRqOXukbobtQaxvBhmuFAn2fAkcfU3CKADZ2ZW/LDdhzKDOmF2ci999KG/z0owUrdstHGLp9+OVL4/AXNfocpNgwP9tWSLxWZf7RW7H8XP47sdqvLvtB4fPSChScwDR93lgIETtQqC7j7sTiZthexHrvWmh+ky542vgGMqbyer9JtQ1fYvtx36W/Rzpd8DVsE+s/X642iQYCGxblkh81uV+Rh78v9/hUmNLm8dDNW8m2j4PzCxN7UIg2VU9CSR9vdIFqzfNVVbjcAjVZ8odXwJHIPQ3ky8PncGlJnmvdYouDsNy0rG+rBIjX9yEcW/vwGPL9mLc2zsw8sVNOH+xAenJmpDWNxSct48IdFuWYAWvcn8nfjh7Sdb5XAVBoXT+YmNYr+cNe4So3fA3u6onvuTRUQq5Ez2D0ZsW6YnWofhMuXv9fA0cg50DJhDXdkvDhnKTyyGjSnM9pn64B//W5wpsPiy/hykaSG3546cHcGPfrIADmfVllT6vuHS13F3O78T6skpbTrFoM3dtOQr7t25IHQ25hrhqzAOuGotNoViREekbcjjIzYPiSz6hkS9u8jq05G4FidzVLuEQrM+Up9fPkKiRtUprdvHVuH9ETtBywATDrFv64s0txz1mbk7RxaG2Prw9D8GUnqzBiJ7pWL3fFPC57NMZ+BLs3D4w22VyWVcrwKI9ZcH0gt5Y9u1PIfubyuXzQcJAiOzFUqZUX8lNwuhrYOLuRu0tmAkkbYG33EWR4j0f1WDMXXtIVg9PsHPABEKF1uXT510kJSXPUpMSHJKppidrMKirAZu+b9tzJmficmpiAhaNHwIAGP/36E9i6SyYX3IYCAUJAyGKNqHq7fIW4PiSiC+QXiSJ3Bw+9r0j7q7l7pqhDmztz5/RQYs/LN/rNseK9PrJXaXlqgdgx4lzmPrBbtkrw6j9Sk1MiNnPQbByDTGPEEVce+49iZRgDM+5ylosZ6VSii7B7xVg/mwGKXcuxty1h/D3rRUet8OQVNotQQdCu4WHr7000uu3ev8p2eUB4LlVB22ryIZf2REje2fIzv1C7VesBkFAZFaTMhCKYrEaTETjfJpYfS0lwUhM6Op9SU/WoNrDCg7pj1LrjuXeuQtg5CaQk96nI1W1sq4HXH4NDL/s2+bNrE8OuBzGkc4jd8sUb3s3+dPV/nlZlU/lpQSAfYwdMPOTAy73zCOKReHMNcRAKEpFYzAhRzRmEpbzWsoNlEKxh5c3wUhM6O598RQEtb2Sd3JWivmyGsaXmskJAgTgdi6LdJ5pH+122C7CoIvHAyOvdNgzyv1+UbmYu9a/PDP+crWvE1GsC2euIc4R8iBSc4SiabWML6JxXy45ryUgb5hEzsaKoQhgtx07K2vio7s9r4KxguSaLnpUnL2E2vpml8flvreuXh+jXovreqQFZTVOKEl7RgHud6TnH1OKNglqFZrClHsrGCIxR4iBkAeRCISiMZiQKxybVPrS2yLntTQkJcB8qclr0OltuEPadFDO0lZfrC+rxMx/HpA15v+3ewa53OJA7vsSqEkjemB0rhGDuqbiw9If8WP1JXRPT8KE/B7QxKsDGjKKJsnaOFxsiN1l4ETRKlKrxjg0FmX83ZbAVYAgnS9c82LkjumazHUoOX6uTb08BTktVoGFm4622QvHU2+LnNfS3XCKdLN+8n/3o7a+2WtafU+bDjpMOtYm4OzFBlnvx/qySjyyVN4+T4BjV7JtCbmlHlsOn5F9jkC8u+0Hl5t6/s+6QxjYxYCjZy7EfBAEgEEQUYgEkqg0EAyEoozsYMJyuZyr4YZkbRyEcEyd7imJF+B/0CTddI9WXZBV/r9X7EeLXUdkamICRvbOwHc/VDssL24dduqB3pkp+ONnrieC2s89cm6XyVwnqz6eWOqb8cT/7g/4PFIAO/4fl4e40pM1GDuok8vNHVusAjM/OSD7/CoA5y+2vnaRzivjTAhg70/mSFeDiKLQtF/3Qu+sDswsHa1CNTTmruejxSrw3rYKzF17yOs50pIScP/1PWCpa8I/XHwLd0Waw+CcxCs1KQGAY++InHktrb00x/DutoqILteUhrjUKpXD5F9vK6KiiTTRVlqt9M2Rn/G/u+Utpbb38Kgcl8NzRETRKJCpEp5wjlCQhCIQ8pQ6fdW+yqj5Fu9trHZ9WSWX6xIRkd+yQzjf1Zf7N3efDyNpsqhzsFNprsebWyqiJggCLs+ReX51eZudjaW5KwyCiIjIX9GyYbUiAqFFixahR48e0Ol0yMvLw86dO8NeB0+5YKKV/cRsidQOIiIif/3HkM5Rkwam3QdCH3/8MWbMmIE5c+Zg9+7dGDhwIAoLC3HmTHhW0ki8rWCKZvYTuGO5HUREFB3+fMc1ka6CTbsPhP7617/iwQcfxKRJk5Cbm4slS5YgKSkJ77zzTljrEc504cFmvyw7lttBRESRl5udAk189IQf0VOTEGhsbMSuXbtQUFBge0ytVqOgoAAlJSVtyjc0NMBisTj8BEs404UHiwqtk9mk5fVAbLaDiIiix51DukS6Cg7adSB09uxZtLS0ICsry+HxrKwsmExt0/nPmzcPBoPB9tO1a9eg1WVYTjpSExOCdj5/JGniAFxeEeaJVMZ5MtuwnHRkG3SyzhGNbulvtL0OREQUXmoVMCG/R6Sr4aBdB0K+mjVrFsxms+3np59+Ctq549QqTBrRI2jncyYFJjf2vQLpyRqHY6lJCZhecBUOPFeIJfcNgdHg2KuTlpRgyyUkMRp0LpfOx6lVmHNbrsM1Y8l/5ffAgecK8cHkPAzrnhbp6hARKcqDN+RE1bAY0M4zS2dkZCAuLg5VVVUOj1dVVcFoNLYpr9VqodVqQ1afaTf2xrvbfwho2XlqUgIm5vfAx9/+5JBd2j41uaetKor6ZwecWbqofzYW3zckqrIXeyPt0Sa1a0TvDAzv2REj5m90yGbtTK0CJo/MwZr90ZPjiYgo1qhVrUHQrFtzI12VNtp9QsW8vDwMGzYMr7/+OgDAarWiW7dumDZtGmbOnOnxuaFKqOhpN/Tia7KxZn9lm+c5Jzj0ZfPRULGvww9nL+KVL49GZAduX187e9L7Abiu9xv3Dsat13Ry2dZwcJcN3JW0pATcNbQLVu497Ta4M+q16N/ZgC8PhXfVJBEpS7ZBhxE9OyJJG++w+XK4MLO0nY8//hgTJ07Em2++iWHDhuHVV1/F8uXL8f3337eZO+QsVFtsuMsuLfXoeDserVzVW60C7PMxpiYloLlF4EJDs+2x1u0lrkZastYW2J2/2IA/flYmq/cs0NfO3+d4y6zt3HYpg/jH3/3L5fOSNGpo4uNcbnUi9eJ9WW7Cp3tPofqi3RYpv+zJNu3G3m02r81I1gIq4OwFx41e1+2vxDMry1xuQeIczDq3w50UbRx6ZCRBCBWy9Dpk6bUwJCZArVbBoE1ATX0jKs5ewo4T53Dero2JCWr0NXbAiZ8vwlx/eW+8rBQNxg3rhiarwL+qL+F0zSXsP2VBQ/PlyqQnJ+B/xvSH1QrM+vQAau0+Vym6eAztlopvfzyPC3YbpTq3TxevhkoF1DVZL7+mSQmYdH0OJo/Mwe8++A7fHD0XlgA/WaPCyF5XIFETj5IT51DlobeSKBI6aONxz9Cu+GTvKYe/H4kJalzXIx1jB3VGdmpixPYNkzAQcrJw4UK89NJLMJlMGDRoEF577TXk5eV5fV6oAiHA/X5jco9HK+d6X9s9Dbt+PO/XMFyLVWDHiXPYfuwsTp2vAyDQOT0Jw3M6Qq1Sud3F3Z/Xzt/n7Dh+DiUnzgJQIS8n3aFertouBSo7jp/D9uNncbqmDp3SEnH9la1DdXJem2B9Nmw71JvrUH2xEekdtDDq29bb/v8ZyVpYhUBpRTWswoq0JC0yUlqfJ7cenvbaC6Ttcs/rz2dS+iyWHD8HQCD/ygxcl5Pe5nXZceIcTp2vQ3NLM8pO16L6UuuN4opkLa4waJCRqEFF9SWcvdiEBLUag7oaMKCLAZkpOhgNbW8edY0tmLvmIEpOVCMhDhg7sDOuztJj5YHTuNjYjCs6aGHQJUAI4OjPtaiy1CM1SYMHb7gSI3tfgRarwDvfnMA/d/+EsxebkKyJQ9e0RGR00CIuTo1OhkToE+PxfaUFFxqaISCgVqmRlBCH+HgVvjr8M2rrm5GijcOv+2YiPVmDg6ctqG+yQhOnghUC5y40ouZSIxqbrahrtEKoAG2cGpo4oKbeGrYeYm+90fEqQKdRQw3A0mD1ULItXZwK2ng1NAmtQXO8Wo3OaYk4Y2lAU4sVSQlxSEmMh1qlRq+sZKQmanDglBk/WxoghIAmXo2mFgEhBBLi1Gi2WqFSqXF1th63D8jG5qM/48TPF/BzbQMamltQU9cETZwKmSk6XJnZAfFqNYx6HWobmgABqFQqdNDGo9JcB0CFTmk6GHQJKDttxp6TNbjQ0Iym5haohECSNh76xASo1CokqNVoarGirrEFViHQ0GxFS4tAk1UgMSEOXdMT0dmgham2EdqEeGQkayBUAmqo0CU9Cdf3zMDwKzvK/n2NJAZCQRLKQIiIiIhCg3uNEREREcnAQIiIiIgUi4EQERERKRYDISIiIlIsBkJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgRERERIrVrnefD5SUdNtisUS4JkRERCSXdN+Ws3kGAyEPamtrAQBdu3aNcE2IiIjIV7W1tTAYDB7LcK8xD6xWK06fPo2UlBSoVKHdTM5isaBr16746aef2vW+ZkppJ8C2tldKaatS2gmwre2REAK1tbXo1KkT1GrPs4DYI+SBWq1Gly5dwnpNvV7frj+cEqW0E2Bb2yultFUp7QTY1vbGW0+QhJOliYiISLEYCBEREZFiMRCKElqtFnPmzIFWq410VUJKKe0E2Nb2SiltVUo7AbZV6ThZmoiIiBSLPUJERESkWAyEiIiISLEYCBEREZFiMRAiIiIixWIgJNOpU6dw3333oWPHjkhMTMSAAQPw3XffOZQ5dOgQbr/9dhgMBiQnJ+O6667DyZMnbcfr6+sxdepUdOzYER06dMCdd96Jqqoqh3OcPHkSxcXFSEpKQmZmJp544gk0Nzc7lPnqq68wZMgQaLVa9OrVC++9916b+i5atAg9evSATqdDXl4edu7cGbS2XrhwAdOmTUOXLl2QmJiI3NxcLFmyxOEcsdDWHj16QKVStfmZOnVq1LVBTl38bWt1dTUeffRR9OnTB4mJiejWrRt+//vfw2w2x1xbvb2nEiEEbrnlFqhUKnz22Wcx1065bS0pKcGNN96I5ORk6PV6jBo1CnV1dbbj1dXVGD9+PPR6PVJTUzF58mRcuHDB4Tr79+/HDTfcAJ1Oh65du2LBggVt6rJixQr07dsXOp0OAwYMwLp16xyOCyHw7LPPIjs7G4mJiSgoKMDRo0eD1laTyYQJEybAaDQiOTkZQ4YMwT//+U+Hc8RKW1taWjB79mzk5OQgMTERPXv2xNy5cx32zJJzjVhpb1QQ5FV1dbXo3r27uP/++0Vpaak4ceKE+OKLL8SxY8dsZY4dOybS09PFE088IXbv3i2OHTsmVq5cKaqqqmxlHnnkEdG1a1exceNG8d1334nhw4eL66+/3na8ublZ9O/fXxQUFIg9e/aIdevWiYyMDDFr1ixbmRMnToikpCQxY8YMUV5eLl5//XURFxcn1q9fbyuzbNkyodFoxDvvvCMOHjwoHnzwQZGamupQl0Da+uCDD4qePXuKzZs3i4qKCvHmm2+KuLg4sXLlyphq65kzZ0RlZaXtZ8OGDQKA2Lx5c9S1wVtdAmnrgQMHxB133CFWrVoljh07JjZu3Ch69+4t7rzzzphrq7f3VPLXv/5V3HLLLQKA+PTTT2OunXLaun37dqHX68W8efNEWVmZ+P7778XHH38s6uvrbecoKioSAwcOFDt27BDffPON6NWrlxg3bpztuNlsFllZWWL8+PGirKxMfPTRRyIxMVG8+eabtjLbtm0TcXFxYsGCBaK8vFw888wzIiEhQRw4cMBWZv78+cJgMIjPPvtM7Nu3T9x+++0iJydH1NXVBaWtN998s7juuutEaWmpOH78uJg7d65Qq9Vi9+7dMdfWF154QXTs2FGsWbNGVFRUiBUrVogOHTqIv/3tbz5dI1baGw0YCMnw1FNPiZEjR3osc/fdd4v77rvP7fGamhqRkJAgVqxYYXvs0KFDAoAoKSkRQgixbt06oVarhclkspVZvHix0Ov1oqGhQQghxJNPPin69evX5tqFhYW2/w8bNkxMnTrV9v+WlhbRqVMnMW/evKC0tV+/fuJPf/qTw2NDhgwRTz/9dEy11dljjz0mevbsKaxWa1S1QU5dAmmrK8uXLxcajUY0NTXFdFtdtXPPnj2ic+fOorKysk0gFKvtdNXWvLw88cwzz7gtX15eLgCIb7/91vbY559/LlQqlTh16pQQQog33nhDpKWl2douROvfiD59+tj+f9ddd4ni4mKHc+fl5YmHH35YCCGE1WoVRqNRvPTSS7bjNTU1QqvVio8++igobU1OThb/5//8H4cy6enp4u233465thYXF4sHHnjA4bE77rhDjB8/XvY1Yqm90YBDYzKsWrUKQ4cOxX/+538iMzMTgwcPxttvv207brVasXbtWlx11VUoLCxEZmYm8vLyHLrcd+3ahaamJhQUFNge69u3L7p164aSkhIArd3YAwYMQFZWlq1MYWEhLBYLDh48aCtjfw6pjHSOxsZG7Nq1y6GMWq1GQUGBrUwgbQWA66+/HqtWrcKpU6cghMDmzZtx5MgRjB49Oqbaaq+xsRFLly7FAw88AJVKFVVtkFOXQNrqitlshl6vR3x8fMy21VU7L126hHvvvReLFi2C0Whs85xYbKertp45cwalpaXIzMzE9ddfj6ysLPzqV7/C1q1bHdqampqKoUOH2h4rKCiAWq1GaWmprcyoUaOg0Wgc2nr48GGcP39e1utRUVEBk8nkUMZgMCAvLy9on9/rr78eH3/8Maqrq2G1WrFs2TLU19fj3/7t32Kurddffz02btyII0eOAAD27duHrVu34pZbbpF9jVhqbzRgICTDiRMnsHjxYvTu3RtffPEFpkyZgt///vd4//33AQBnzpzBhQsXMH/+fBQVFeH//b//h9/85je444478PXXXwNoHcPWaDRITU11OHdWVhZMJpOtjP0fYOm4dMxTGYvFgrq6Opw9exYtLS0uy0jnCKStAPD6668jNzcXXbp0gUajQVFRERYtWoRRo0bFVFvtffbZZ6ipqcH9998fdW2QU5dA2urs7NmzmDt3Lh566CHbY7HYVlftnD59Oq6//nqMGTPG5XNisZ2u2nrixAkAwHPPPYcHH3wQ69evx5AhQ3DTTTfZ5m+YTCZkZmY6nCc+Ph7p6elB+YzbH7d/XrDbCgDLly9HU1MTOnbsCK1Wi4cffhiffvopevXqFXNtnTlzJu655x707dsXCQkJGDx4MB5//HGMHz9e9jViqb3RgLvPy2C1WjF06FD8+c9/BgAMHjwYZWVlWLJkCSZOnAir1QoAGDNmDKZPnw4AGDRoELZv344lS5bgV7/6VcTq7itvbQVaA6EdO3Zg1apV6N69O7Zs2YKpU6eiU6dObb49xIp//OMfuOWWW9CpU6dIVyXkPLXVYrGguLgYubm5eO6558JfuSBybueqVauwadMm7NmzJ8I1Cz7ntkp/kx5++GFMmjQJQOvv8saNG/HOO+9g3rx5EatroFx9fmfPno2amhp8+eWXyMjIwGeffYa77roL33zzDQYMGBDB2vpu+fLl+OCDD/Dhhx+iX79+2Lt3Lx5//HF06tTJ9jeYgos9QjJkZ2cjNzfX4bGrr77atiIsIyMD8fHxHssYjUY0NjaipqbGoUxVVZWti95oNLZZNSL931sZvV6PxMREZGRkIC4uzmUZV0MBvra1rq4Of/zjH/HXv/4Vt912G6655hpMmzYNd999N15++eWYaqvkxx9/xJdffonf/va3tseiqQ1y6hJIWyW1tbUoKipCSkoKPv30UyQkJNiOxVpbXbVz06ZNOH78OFJTUxEfH28b9rvzzjttQyix1k53bc3OzgYAr3+Tzpw543C8ubkZ1dXVQfmM2x+3f16w23r8+HEsXLgQ77zzDm666SYMHDgQc+bMwdChQ7Fo0aKYa+sTTzxh6xUaMGAAJkyYgOnTp9uCVznXiKX2RgMGQjKMGDEChw8fdnjsyJEj6N69OwBAo9Hguuuu81jm2muvRUJCAjZu3Gg7fvjwYZw8eRL5+fkAgPz8fBw4cMDhA7xhwwbo9XrbH7T8/HyHc0hlpHNoNBpce+21DmWsVis2btxoKxNIW5uamtDU1AS12vGjExcXZ/sWGittlbz77rvIzMxEcXGx7bFoaoOcugTSVqC1J2j06NHQaDRYtWoVdDqdw/FYa6urds6cORP79+/H3r17bT8A8Morr+Ddd9+NyXa6a2uPHj3QqVMnj7/L+fn5qKmpwa5du2zHN23aBKvViry8PFuZLVu2oKmpyaGtffr0QVpamqzXIycnB0aj0aGMxWJBaWlpUNp66dIlAPD4NymW2nrp0iWPbZFzjVhqb1SI9GztWLBz504RHx8vXnjhBXH06FHxwQcfiKSkJLF06VJbmU8++UQkJCSIt956Sxw9etS2pPabb76xlXnkkUdEt27dxKZNm8R3330n8vPzRX5+vu24tHR39OjRYu/evWL9+vXiiiuucLl094knnhCHDh0SixYtcrl0V6vVivfee0+Ul5eLhx56SKSmpjqshAmkrb/61a9Ev379xObNm8WJEyfEu+++K3Q6nXjjjTdiqq1CtK7m6datm3jqqafaHIumNnirSyBtNZvNIi8vTwwYMEAcO3bMYZlyc3NzzLXV03vqDG6Wz8dCO7219ZVXXhF6vV6sWLFCHD16VDzzzDNCp9M5pMIoKioSgwcPFqWlpWLr1q2id+/eDkusa2pqRFZWlpgwYYIoKysTy5YtE0lJSW2WWMfHx4uXX35ZHDp0SMyZM8flEuvU1FSxcuVKsX//fjFmzBifl1i7a2tjY6Po1auXuOGGG0Rpaak4duyYePnll4VKpRJr166NubZOnDhRdO7c2bZ8/pNPPhEZGRniySef9OkasdLeaMBASKbVq1eL/v37C61WK/r27SveeuutNmX+8Y9/iF69egmdTicGDhwoPvvsM4fjdXV14ne/+51IS0sTSUlJ4je/+Y2orKx0KPPDDz+IW265RSQmJoqMjAzxhz/8wbaEWbJ582YxaNAgodFoxJVXXinefffdNnV5/fXXRbdu3YRGoxHDhg0TO3bsCFpbKysrxf333y86deokdDqd6NOnj/jLX/7isEQ5Vtr6xRdfCADi8OHDbY5FUxvk1MXftm7evFkAcPlTUVERc2319J46cw6EYqmdcto6b9480aVLF5GUlCTy8/MdvpgJIcS5c+fEuHHjRIcOHYRerxeTJk0StbW1DmX27dsnRo4cKbRarejcubOYP39+m+ssX75cXHXVVUKj0Yh+/fo5BCBCtC6znj17tsjKyhJarVbcdNNNst4fuW09cuSIuOOOO0RmZqZISkoS11xzTZvl9LHSVovFIh577DHRrVs3odPpxJVXXimefvpph2Xucq4RK+2NBioh7NJVEhERESkI5wgRERGRYjEQIiIiIsViIERERESKxUCIiIiIFIuBEBERESkWAyEiIiJSLAZCREREpFgMhIiIiEixGAgRERGRYjEQIiIiIsViIERERESKxUCIiIiIFOv/A2j/HCTVjA+LAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "### THIS IS THE \"CANFILL\" CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(internals + edgers):\n",
    "    if iii%200 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(internals+edgers),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "8987ad1f-d372-415d-a2ec-8fc6736c5102",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2196 4394 2619 1983\n",
      "622 622 5968\n"
     ]
    }
   ],
   "source": [
    "print(len(internals),len(edgers),len(doubleTroubleList),len(set(edgers).intersection(set(doubleTroubleList))))\n",
    "print(len(set(edgers).difference(set(canFill))) ,len(cantFill) , len(canFill))\n",
    "#610 3379 2187 1954\n",
    "#80 80 3909  for original MN option3 (assigned CCBs by captured area)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "8fa887be-92e6-422a-8e80-e00fd3265aab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 0.9972 0.19589\n",
      "CCB cluster 0 = unit 7066 with pop 139080.0 now has use of 1.0218368415116885\n",
      "CCB cluster 1 = unit 7067 with pop 110132.0 now has use of 1.0233682587305861\n",
      "CCB cluster 2 = unit 7068 with pop 67024.0 now has use of 1.0257769963223937\n",
      "CCB cluster 3 = unit 7069 with pop 17788.0 now has use of 1.0093661736670936\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "e9d50ef8-39b2-4e22-a11e-cabeda78721e",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "b759b3c7-b8a3-4d2c-a8fe-50fa93b3e940",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#savedHDunitList = [HDunitList[t].copy() for t in range(nHDs) ]  #safekeeping\n",
    "HDunitList = [savedHDunitList[t].copy() for t in range(nHDs) ]   #restart\n",
    "HDvPop = [0 for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "plt.axvline(aDP, ls=\"--\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "551454fb-d57c-466f-8b31-39ccb2a728de",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "here are the HD centers for 622 cantFill HDs with border or big enclaves\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"here are the HD centers for\",len(cantFill),\"cantFill HDs with border or big enclaves\")\n",
    "for u in borderUnits:\n",
    "    plotPoly(unitGeom[u])\n",
    "for t in cantFill:\n",
    "    plotPoly(hdCP[t].buffer(0.02))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "5269a224-4a97-417c-99af-6a98df0087ae",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the barredJettisonSet (cannot be shed in below MUSTFREE code) is {7066, 7067, 7068, 7069}\n",
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 801\n",
      "working on avg unit-to-HDcp dist for HD 1601\n",
      "working on avg unit-to-HDcp dist for HD 2401\n",
      "working on avg unit-to-HDcp dist for HD 3202\n",
      "working on avg unit-to-HDcp dist for HD 4002\n",
      "working on avg unit-to-HDcp dist for HD 4802\n",
      "working on avg unit-to-HDcp dist for HD 5602\n",
      "working on avg unit-to-HDcp dist for HD 6402\n",
      "working on avg unit-to-HDcp dist for HD 7202\n",
      "all unit-toHDcp distances computed\n"
     ]
    }
   ],
   "source": [
    "barredJettisonSet = set(list())\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u]% 1 > 0.23 and allUnits[u]%1 < 0.27:\n",
    "        barredJettisonSet.add(u)\n",
    "print(\"the barredJettisonSet (cannot be shed in below MUSTFREE code) is\",barredJettisonSet)\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "print(\"all unit-toHDcp distances computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "6e2e44bd-a084-42f6-b533-5dc6d21912a9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this code will solve large enclaves so HD and complement are contiguous for 622 HDs\n",
      "working on HD 13 cantFill 0 of 622 .Time is now 0\n",
      "working on HD 1322 cantFill 20 of 622 .Time is now 1\n",
      "working on HD 1446 cantFill 40 of 622 .Time is now 1\n",
      "working on HD 1780 cantFill 60 of 622 .Time is now 2\n",
      "working on HD 1984 cantFill 80 of 622 .Time is now 3\n",
      "working on HD 2243 cantFill 100 of 622 .Time is now 4\n",
      "working on HD 2315 cantFill 120 of 622 .Time is now 5\n",
      "working on HD 2362 cantFill 140 of 622 .Time is now 5\n",
      "working on HD 2440 cantFill 160 of 622 .Time is now 6\n",
      "working on HD 2537 cantFill 180 of 622 .Time is now 6\n",
      "working on HD 2683 cantFill 200 of 622 .Time is now 7\n",
      "working on HD 2809 cantFill 220 of 622 .Time is now 7\n",
      "working on HD 2948 cantFill 240 of 622 .Time is now 8\n",
      "working on HD 3287 cantFill 260 of 622 .Time is now 9\n",
      "working on HD 3615 cantFill 280 of 622 .Time is now 10\n",
      "working on HD 3770 cantFill 300 of 622 .Time is now 11\n",
      "working on HD 3953 cantFill 320 of 622 .Time is now 12\n",
      "working on HD 22 cantFill 340 of 622 .Time is now 13\n",
      "working on HD 81 cantFill 360 of 622 .Time is now 17\n",
      "working on HD 1129 cantFill 380 of 622 .Time is now 19\n",
      "working on HD 1583 cantFill 400 of 622 .Time is now 21\n",
      "working on HD 1912 cantFill 420 of 622 .Time is now 22\n",
      "working on HD 2229 cantFill 440 of 622 .Time is now 23\n",
      "working on HD 2387 cantFill 460 of 622 .Time is now 25\n",
      "working on HD 2523 cantFill 480 of 622 .Time is now 25\n",
      "working on HD 2777 cantFill 500 of 622 .Time is now 26\n",
      "working on HD 2947 cantFill 520 of 622 .Time is now 26\n",
      "working on HD 3241 cantFill 540 of 622 .Time is now 27\n",
      "working on HD 3590 cantFill 560 of 622 .Time is now 28\n",
      "working on HD 3792 cantFill 580 of 622 .Time is now 29\n",
      "working on HD 4108 cantFill 600 of 622 .Time is now 30\n",
      "working on HD 7010 cantFill 620 of 622 .Time is now 32\n",
      "after the MustFree code run, we have the following for cluster usage\n",
      "current avg use and its sd are 0.99432 0.19358\n",
      "CCB cluster 0 = unit 7066 with pop 139080.0 now has use of 0.9782148113741757\n",
      "CCB cluster 1 = unit 7067 with pop 110132.0 now has use of 1.0233682587305861\n",
      "CCB cluster 2 = unit 7068 with pop 67024.0 now has use of 0.9895395119269519\n",
      "CCB cluster 3 = unit 7069 with pop 17788.0 now has use of 1.132410355962323\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS IS THE MUSTFREE CODE - for high-pop HDs with map-border enclaves, can't fill; \n",
    "#  must jettison some inHD map-boundary units to connect the enclave to the larger complement\n",
    "#For each HD to be triaged, define the list(s) of contiguous enclave units that are on the map boundary, \n",
    "#  and the in-HD map-boundary segments.  ID which in-HD MBS's adjoin one vs. two enclaves.\n",
    "#     Fill all internal enclaves, and all boundary enclaves < 0.05 aDP.\n",
    "#   Then each loop, look for boundary enclaves that can be filled without overpopping.\n",
    "#     If none, pick the 1/2 has-1-boundary-enclave-neighbor that is least painful to jettison to free an enclave.\n",
    "#       (Jettison score based on pop-to-Free and distance from HDcP)\n",
    "#         Update HDpop, HDlist, and enclave & HD-boundary associations, then re-loop\n",
    "# Later, we will swell-fill to square up pop (w/ checkEnclave) biasing toward close-to-hdCP, underused\n",
    "borderSet = set(borderUnits)\n",
    "debug, debugPlot = False, False\n",
    "startTime = time.time()  #takes about 1.5sec per HD triage\n",
    "clusterJettisonBoost = 3.  #this discourages jettisoning of underused clusters\n",
    "print(\"this code will solve large enclaves so HD and complement are contiguous for\",len(cantFill),\"HDs\")\n",
    "nEnclavesPerHD = [0 for t in range(nHDs)]\n",
    "HDenclaveLists = [list() for t in range(nHDs)]\n",
    "for iii,t in enumerate(cantFill):\n",
    "    if iii %20 == 0:\n",
    "        print(\"working on HD\",t,\"cantFill\",iii,\"of\",len(cantFill),\".Time is now\",int(time.time() - startTime) )\n",
    "    shedUs = list()    \n",
    "    enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "    nEnclavesPerHD[t] = len(enclaveLists)\n",
    "    HDenclaveLists[t] = enclaveLists.copy()\n",
    "    if debug:\n",
    "        print(\"pre-adjust HDpop for HD\",t,\"is\",HDvPop[t],\"I found\",len(enclaveLists),\"TOTAL enclaves\")\n",
    "    internalEnclaves, edgeEnclaves, combinedEnclBorderList = list(), list(), list()\n",
    "    for jjj, eL in enumerate(enclaveLists.copy() ):\n",
    "        enclaveBorderList = list ( set(eL).intersection(borderSet) )\n",
    "        if debug:\n",
    "            print(\"In enclave\",jjj,\"I found\",len(enclaveBorderList),\"units that were enclaved and are in the map borderSet\")\n",
    "        combinedEnclBorderList += enclaveBorderList\n",
    "        ePop = np.sum( [unitPop[u] for u in eL] )\n",
    "        if len(enclaveBorderList) == 0 or ePop < 0.05 * aDP:  #internal or small enclave.  Fill it\n",
    "            if ePop > 0:  #in a prev treatment, could be an empty (surrounded) unit that we don't care about\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += ePop\n",
    "            internalEnclaves.append(eL)\n",
    "        else:\n",
    "            edgeEnclaves.append(eL)\n",
    "    if debug:\n",
    "        print(\"Of these\",len(internalEnclaves),\"were internal or small, so I filled them, leaving\",\n",
    "              len(edgeEnclaves),\"non-small border = edge enclaves\" )\n",
    "    if debugPlot:\n",
    "        print(\"Here is the original HD, internal enclaves ('x') and non-small border enclaves by enclave no\")\n",
    "        plotPoly(hdCP[t].buffer(0.3))\n",
    "        for u in HDunitList[t]:\n",
    "            if unitPop[u] > 0:\n",
    "                plotPoly(unitGeom[u],0.2)\n",
    "        for L in internalEnclaves:\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u],1.5)\n",
    "                    plotCenter(\"x\",unitCP[u],8)\n",
    "        for L in edgeEnclaves: #############\n",
    "            for u in L:\n",
    "                if unitPop[u] > 0:\n",
    "                    plotPoly(unitGeom[u])\n",
    "                    #plotCenter(\"e\",unitCP[u],8)\n",
    "        #plotPoly(MAP,0.4)\n",
    "        #plt.show()\n",
    "    enclaveLists, combinedEnclBorderSet = list(), set(combinedEnclBorderList)\n",
    "    if len(edgeEnclaves) > 0:\n",
    "        # Now, we order by chain connectivity of HD and enclave sublists to be H0-E0-H1-E1 ... En-Hn+1\n",
    "        nonHDborderSet = borderSet.difference(  set(HDunitList[t]) )\n",
    "        nonHDlongBorderSet = nonHDborderSet.difference(combinedEnclBorderSet) #long=non HD boundary excluding enclaves\n",
    "        remainingEnclBorderSet = combinedEnclBorderSet.copy()\n",
    "        remainingHDborderSet =   borderSet.intersection(set(HDunitList[t]) )\n",
    "        #Now find the \"HDender\" unit which borders the non-enclave nonHD boundary, then find opp end of this HD bdry piece\n",
    "        HDender = list(set(getAdjoiners(nonHDlongBorderSet,unitNbrs)).intersection(remainingHDborderSet) )[0]\n",
    "        firstHDborderSet = getContigFromStarter(HDender,remainingHDborderSet,unitNbrs)\n",
    "        HDstarter = list(set(getAdjoiners(remainingEnclBorderSet,unitNbrs)).intersection(firstHDborderSet))[0]\n",
    "        HDborderSublists = [ list(firstHDborderSet) ]\n",
    "        unused = [1 for eL in edgeEnclaves]\n",
    "        eLadjoiners = [getAdjoiners(eL,unitNbrs) for eL in edgeEnclaves ]\n",
    "        for j in range(len(edgeEnclaves)): #find the enclave with the most HDstarter neighbors (at least 1)\n",
    "            found = False\n",
    "            for i,eL in enumerate(edgeEnclaves):\n",
    "                if unused[i] == 1:\n",
    "                    HDadjSet = set(HDborderSublists[j]).intersection(set(eLadjoiners[i]))\n",
    "                    if len(HDadjSet) > 0:\n",
    "                        unused[i] = 0\n",
    "                        eNo = i\n",
    "                        found = True\n",
    "                        remainingEnclBorderSet = remainingEnclBorderSet.difference(set(edgeEnclaves[eNo]) )\n",
    "                        enclaveLists.append(edgeEnclaves[eNo])\n",
    "                        remainingHDborderSet = remainingHDborderSet.difference(set(HDborderSublists[j]) )\n",
    "                        HDstarter = list(set(eLadjoiners[i]).intersection(remainingHDborderSet))[0]       \n",
    "                        HDborderSublists.append(getContigFromStarter(HDstarter,remainingHDborderSet,unitNbrs) )\n",
    "                        break\n",
    "                if found:\n",
    "                    break\n",
    "\n",
    "        enclavePops = [np.sum([unitPop[u] for u in L]) for L in enclaveLists]\n",
    "        #print(\"prior to adjustments, border enclavePops are\",enclavePops)         \n",
    "\n",
    "        nHDBS, nEnclaves = len(HDborderSublists), len(enclaveLists)\n",
    "        popToFree, freeingCounties, freeingUnits = [0. for n in range(nHDBS)], [list() for n in range(nHDBS) \n",
    "                                                                               ],[list() for n in range(nHDBS)]\n",
    "        for j,L in enumerate(HDborderSublists):\n",
    "            for u in L:\n",
    "                if int(allUnits[u]) == allUnits[u]:  #this border unit is a vtd\n",
    "                    c = countyNo[parentVTDno[allUnits[u]]]   #countyNo[allUnits[u]]\n",
    "                    if c not in freeingCounties[j]:\n",
    "                        if countyPop[c] < 0.1 * aDP:  #plan to add all in-county pop\n",
    "                            freeingCounties[j].append(c)\n",
    "                        else:\n",
    "                            popToFree[j] += unitPop[u]\n",
    "                            freeingUnits[j].append(u)\n",
    "                else: #border unit is a full county or cluster, or in a dense county.  Add the whole unit pop\n",
    "                    popToFree[j] += unitPop[u]\n",
    "                    freeingUnits[j].append(u)\n",
    "            for c in freeingCounties[j]:  #include ALL in-HD pop from each non-unit border county, not just its border units\n",
    "                #plotPoly(countyGeom[c],0.1)\n",
    "                for u in countyUnitList[c]:\n",
    "                    if u in HDunitList[t]:\n",
    "                        popToFree[j] += unitPop[u]\n",
    "                        freeingUnits[j].append(u)\n",
    "        freeingCP = [ getHDcp(  unitCP, unitPop, L) for L in freeingUnits ]\n",
    "        freeingScore = [ pTF/aDP - 0.5*freeingCP[j].distance(hdCP[t]) / avgDist[t] for j,pTF in enumerate(popToFree) ]\n",
    "        for j, fU in enumerate(freeingUnits):  #in above 0.5 is a fudgy\n",
    "            if len(barredJettisonSet.intersection(set(fU)) ) > 0: #has a cluster we want to hold onto\n",
    "                freeingScore[j] += clusterJettisonBoost #  ..so increase its score (make it harder to drop)\n",
    "        if debugPlot:\n",
    "            print(\"plotting the freeing units with negative numbers for each freeing group\")\n",
    "            for j,L in enumerate(freeingUnits):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        #plotPoly(unitGeom[u],0.5)\n",
    "                        plotCenter(\"-\"+str(j),unitGeom[u],6)\n",
    "                        pass\n",
    "            print(\"plotting the enclaveLists, with + numbers for each enclave\")\n",
    "            for j,L in enumerate(enclaveLists):\n",
    "                for u in L:\n",
    "                    if unitPop[u] > 0:\n",
    "                        plotPoly(unitGeom[u])\n",
    "                        plotCenter(j,unitCP[u],8)\n",
    "                        pass\n",
    "    \n",
    "    while len(enclaveLists) > 0:\n",
    "        if HDvPop[t] + np.min(enclavePops) < 1.05*aDP or np.min(enclavePops) < 0.05 * aDP:  #fill the smallest enclave\n",
    "            eNo = enclavePops.index(np.min(enclavePops))\n",
    "            HDunitList[t] += enclaveLists[eNo]\n",
    "            HDvPop[t] += enclavePops[eNo]\n",
    "            #print(t,\"=t. Absorbing enclave\",eNo,\"with pop\",enclavePops[eNo],\"HD total pop now\",int(HDfreePop[t]) )\n",
    "            enclaveBUs = list(set(enclaveLists[eNo]).intersection(set(borderUnits)) )\n",
    "            enclaveBpop = np.sum([unitPop[u] for u in enclaveBUs])\n",
    "            sNo, dropped_sNo = eNo, eNo+1\n",
    "            freeingScore[sNo] += freeingScore[sNo+1]+enclaveBpop/aDP\n",
    "            freeingUnits[sNo] += freeingUnits[sNo+1]+enclaveBUs\n",
    "            popToFree[sNo]    +=    popToFree[sNo+1]+enclaveBpop\n",
    "        else: #jettison one of the two end HD border lists; pick the less painful path to freedom\n",
    "            distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "            starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "            eNo, dropped_sNo = 0,0\n",
    "            if starterU not in freeingUnits[-1]:  #we can't drop the home unit, even to save an underused corner\n",
    "                if freeingScore[-1] < freeingScore[0] or starterU in freeingUnits[0]:\n",
    "                    eNo, dropped_sNo = len(enclaveLists)-1,len(enclaveLists)\n",
    "            barredIncluded0 = barredJettisonSet.intersection(set(freeingUnits[0]))\n",
    "            barredIncluded_1 = barredJettisonSet.intersection(set(freeingUnits[-1]))\n",
    "            #if len(barredIncluded0.union(barredIncluded_1)) > 0:\n",
    "            #    print(\"We are considering dropping an end unit to free from t\",t,\". Chosen, beg, end, scores are\")\n",
    "            #    print(dropped_sNo,barredIncluded0, barredIncluded_1, freeingScore[0], freeingScore[-1])\n",
    "            HDunitList[t] = list( set(HDunitList[t]).difference(set(freeingUnits[dropped_sNo]) ) )\n",
    "            HDvPop[t] -= popToFree[dropped_sNo]\n",
    "            #print(t,\"= t. Jettisoning HDborder\",dropped_sNo,\"with popToFree\",popToFree[dropped_sNo] )\n",
    "        del enclaveLists[eNo]\n",
    "        del enclavePops[eNo]\n",
    "        if debug:\n",
    "            print(t,\"= t. Now we have\",len(enclaveLists),\"left trapped.  Picked eNo, freeScores were\", eNo,freeingScore)\n",
    "        del freeingScore[dropped_sNo]\n",
    "        del freeingUnits[dropped_sNo]\n",
    "        del popToFree   [dropped_sNo] \n",
    "\n",
    "    #plotPoly(MAP,0.4)\n",
    "    if debugPlot:\n",
    "        plt.show()    \n",
    "        \n",
    "unitUse = [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t]*nDistricts\n",
    "print(\"after the MustFree code run, we have the following for cluster usage\")\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "66e91b98-63a9-47db-af63-039ac47b1835",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "ca9ce3cb-c150-4f39-ae55-f781d39d7f57",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "postMustFreeUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "c32dd108-073b-48aa-99ce-fea50c8d023c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist([HDvPop[t] for t in popHDlist] )\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "f58fe2d0-3c62-412f-8984-ff5d67ea9b10",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "After above work, re-classification of contiguity problems?\n",
      "working on HD 0\n",
      "working on HD 500\n",
      "working on HD 1000\n",
      "working on HD 1500\n",
      "working on HD 2000\n",
      "working on HD 2500\n",
      "working on HD 3000\n",
      "working on HD 3500\n",
      "working on HD 4000\n",
      "working on HD 4500\n",
      "working on HD 5000\n",
      "working on HD 5500\n",
      "working on HD 6000\n",
      "working on HD 6500\n",
      "working on HD 7000\n",
      "out of 7432 total HDs, there were 7277 90 16 49 HDs that were clean, discontig only, enclave-only, both problems after triage\n"
     ]
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"After above work, re-classification of contiguity problems?\")\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "1ef683a2-4429-4a91-b1ea-a9b0950dea22",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on current HD diam for HD number 0\n",
      "working on current HD diam for HD number 1001\n",
      "working on current HD diam for HD number 2001\n",
      "working on current HD diam for HD number 3001\n",
      "working on current HD diam for HD number 4002\n",
      "working on current HD diam for HD number 5002\n",
      "working on current HD diam for HD number 6002\n",
      "working on current HD diam for HD number 7002\n",
      "here is the histogram of HD diameter = sqrt(area)\n"
     ]
    },
    {
     "data": {
      "image/png": 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npwsAAAwXZR3+p40NEgwG5Xa7FQgE5HK5HH3s/vj9Nv0V38tzfHBM42j4/yCOt3D8+813YwEAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaDGRngAA4MQ1qvDZSE+hz95ZnBnpKeAEw5kdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARgtL7PznP//RD3/4Qw0bNkyDBg3S+PHjtW3bNnu/ZVkqLi7W8OHDNWjQIKWnp2v37t0hj9HS0qLs7Gy5XC4lJCQoNzdXBw4cCMd0AQCAwRyPnQ8//FAXXnihBg4cqOeff16vv/66fvWrX2no0KH2mCVLlmjFihVavXq1amtrNXjwYGVkZOjgwYP2mOzsbDU0NKiiokIbN25UdXW18vLynJ4uAAAwnOPfen7vvfcqJSVFa9assbelpqba/21ZlpYvX66FCxdq9uzZkqRHHnlEHo9HGzZsUFZWlnbt2qXy8nJt3bpVkydPliStXLlSs2bN0tKlS5WcnOz0tAEAgKEcP7Pz9NNPa/Lkyfre976npKQknXvuufrNb35j79+zZ4/8fr/S09PtbW63W2lpaaqpqZEk1dTUKCEhwQ4dSUpPT1d0dLRqa2t7fd729nYFg8GQGwAAgOOx8/bbb2vVqlU688wz9cILL+i6667TL37xC61bt06S5Pf7JUkejyfkfh6Px97n9/uVlJQUsj8mJkaJiYn2mCOVlJTI7Xbbt5SUFKdfGgAA6Iccj53u7m6dd955uueee3TuuecqLy9P8+bN0+rVq51+qhBFRUUKBAL2bd++fWF9PgAA0D84HjvDhw/X2LFjQ7aNGTNGe/fulSR5vV5JUlNTU8iYpqYme5/X61Vzc3PI/kOHDqmlpcUec6S4uDi5XK6QGwAAgOOxc+GFF6qxsTFk25tvvqmRI0dK+uRiZa/Xq8rKSnt/MBhUbW2tfD6fJMnn86m1tVV1dXX2mE2bNqm7u1tpaWlOTxkAABjM8U9j3XjjjZo6daruueceXXnlldqyZYseeughPfTQQ5KkqKgozZ8/X3fddZfOPPNMpaamatGiRUpOTtacOXMkfXIm6LLLLrN//dXZ2amCggJlZWXxSSwAANAnjsfO+eefr/Xr16uoqEh33HGHUlNTtXz5cmVnZ9tjbr75ZrW1tSkvL0+tra266KKLVF5ervj4eHtMWVmZCgoKNH36dEVHR2vu3LlasWKF09MFAACGi7Isy4r0JMIhGAzK7XYrEAg4fv3OqMJnHX08HN07izMjPYWTAsc0TML7Rv8Wjn+/+W4sAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYLSYSE8AMM2owmcjPQUAwGE4swMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAo/HRcwCAUfrjn394Z3FmpKdgNM7sAAAAoxE7AADAaGGPncWLFysqKkrz58+3tx08eFD5+fkaNmyYTj31VM2dO1dNTU0h99u7d68yMzN1yimnKCkpSTfddJMOHToU7ukCAADDhDV2tm7dqgcffFDnnHNOyPYbb7xRzzzzjJ544glVVVVp//79+u53v2vv7+rqUmZmpjo6OrR582atW7dOa9euVXFxcTinCwAADBS22Dlw4ICys7P1m9/8RkOHDrW3BwIB/e53v9OyZcv0zW9+U5MmTdKaNWu0efNmvfLKK5KkF198Ua+//rr+8Ic/aOLEiZo5c6buvPNOlZaWqqOjI1xTBgAABgpb7OTn5yszM1Pp6ekh2+vq6tTZ2Rmy/ayzztKIESNUU1MjSaqpqdH48ePl8XjsMRkZGQoGg2poaOj1+drb2xUMBkNuAAAAYfno+WOPPabt27dr69atn9nn9/sVGxurhISEkO0ej0d+v98ec3jo9Ozv2debkpIS3X777Q7MHgAAmMTxMzv79u3TDTfcoLKyMsXHxzv98EdVVFSkQCBg3/bt23fcnhsAAJy4HI+duro6NTc367zzzlNMTIxiYmJUVVWlFStWKCYmRh6PRx0dHWptbQ25X1NTk7xeryTJ6/V+5tNZPT/3jDlSXFycXC5XyA0AAMDx2Jk+fbp27typ+vp6+zZ58mRlZ2fb/z1w4EBVVlba92lsbNTevXvl8/kkST6fTzt37lRzc7M9pqKiQi6XS2PHjnV6ygAAwGCOX7MzZMgQnX322SHbBg8erGHDhtnbc3NztWDBAiUmJsrlcun666+Xz+fTBRdcIEmaMWOGxo4dq6uvvlpLliyR3+/XwoULlZ+fr7i4OKenDAAADBaR78a67777FB0drblz56q9vV0ZGRl64IEH7P0DBgzQxo0bdd1118nn82nw4MHKycnRHXfcEYnpAgCAfuy4xM5LL70U8nN8fLxKS0tVWlp61PuMHDlSzz33XJhnBgAATMd3YwEAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACjETsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMFpMpCcAfJ5Rhc9GegoAgH6OMzsAAMBoxA4AADCa47FTUlKi888/X0OGDFFSUpLmzJmjxsbGkDEHDx5Ufn6+hg0bplNPPVVz585VU1NTyJi9e/cqMzNTp5xyipKSknTTTTfp0KFDTk8XAAAYzvHYqaqqUn5+vl555RVVVFSos7NTM2bMUFtbmz3mxhtv1DPPPKMnnnhCVVVV2r9/v7773e/a+7u6upSZmamOjg5t3rxZ69at09q1a1VcXOz0dAEAgOGiLMuywvkE77//vpKSklRVVaVLLrlEgUBAX/nKV/Too4/qiiuukCS98cYbGjNmjGpqanTBBRfo+eef17e//W3t379fHo9HkrR69Wrdcsstev/99xUbG/uFzxsMBuV2uxUIBORyuRx9TVw0CwBw0juLMyM9hRNGOP79Dvs1O4FAQJKUmJgoSaqrq1NnZ6fS09PtMWeddZZGjBihmpoaSVJNTY3Gjx9vh44kZWRkKBgMqqGhodfnaW9vVzAYDLkBAACENXa6u7s1f/58XXjhhTr77LMlSX6/X7GxsUpISAgZ6/F45Pf77TGHh07P/p59vSkpKZHb7bZvKSkpDr8aAADQH4U1dvLz8/Xaa6/pscceC+fTSJKKiooUCATs2759+8L+nAAA4MQXtj8qWFBQoI0bN6q6ulqnn366vd3r9aqjo0Otra0hZ3eamprk9XrtMVu2bAl5vJ5Pa/WMOVJcXJzi4uIcfhUAAKC/c/zMjmVZKigo0Pr167Vp0yalpqaG7J80aZIGDhyoyspKe1tjY6P27t0rn88nSfL5fNq5c6eam5vtMRUVFXK5XBo7dqzTUwYAAAZz/MxOfn6+Hn30UT311FMaMmSIfY2N2+3WoEGD5Ha7lZubqwULFigxMVEul0vXX3+9fD6fLrjgAknSjBkzNHbsWF199dVasmSJ/H6/Fi5cqPz8fM7eAACAPnE8dlatWiVJmjZtWsj2NWvW6Mc//rEk6b777lN0dLTmzp2r9vZ2ZWRk6IEHHrDHDhgwQBs3btR1110nn8+nwYMHKycnR3fccYfT0wUAAIYL+9/ZiRT+zg4AoL/g7+x8ql/+nR0AAIBIInYAAIDRiB0AAGA0YgcAABiN2AEAAEYL219QBgAAX05//JRvf/oEGWd2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARiN2AACA0YgdAABgNGIHAAAYjdgBAABGI3YAAIDRiB0AAGA0YgcAABiN2AEAAEYjdgAAgNGIHQAAYDRiBwAAGI3YAQAARjuhY6e0tFSjRo1SfHy80tLStGXLlkhPCQAA9DMnbOw8/vjjWrBggW699VZt375dEyZMUEZGhpqbmyM9NQAA0I+csLGzbNkyzZs3Tz/5yU80duxYrV69WqeccooefvjhSE8NAAD0IzGRnkBvOjo6VFdXp6KiIntbdHS00tPTVVNT0+t92tvb1d7ebv8cCAQkScFg0PH5dbd/7PhjAgDQn4Tj39fDH9eyLMce84SMnQ8++EBdXV3yeDwh2z0ej954441e71NSUqLbb7/9M9tTUlLCMkcAAE5m7uXhffz//ve/crvdjjzWCRk7x6KoqEgLFiywf+7u7lZLS4uGDRumqKgox54nGAwqJSVF+/btk8vlcuxx+yvWIxTr8SnWIhTr8SnWIhTrESoQCGjEiBFKTEx07DFPyNg57bTTNGDAADU1NYVsb2pqktfr7fU+cXFxiouLC9mWkJAQrinK5XJxUB6G9QjFenyKtQjFenyKtQjFeoSKjnbusuIT8gLl2NhYTZo0SZWVlfa27u5uVVZWyufzRXBmAACgvzkhz+xI0oIFC5STk6PJkydrypQpWr58udra2vSTn/wk0lMDAAD9yAkbO1dddZXef/99FRcXy+/3a+LEiSovL//MRcvHW1xcnG699dbP/MrsZMV6hGI9PsVahGI9PsVahGI9QoVjPaIsJz/bBQAAcII5Ia/ZAQAAcAqxAwAAjEbsAAAAoxE7AADAaMROL0pLSzVq1CjFx8crLS1NW7Zs+dzxTzzxhM466yzFx8dr/Pjxeu65547TTI+PvqzH2rVrFRUVFXKLj48/jrMNn+rqal1++eVKTk5WVFSUNmzY8IX3eemll3TeeecpLi5OZ5xxhtauXRv2eR4vfV2Pl1566TPHRlRUlPx+//GZcBiVlJTo/PPP15AhQ5SUlKQ5c+aosbHxC+9n4nvHsayFye8bq1at0jnnnGP/wUCfz6fnn3/+c+9j4nHRo6/r4dSxQewc4fHHH9eCBQt06623avv27ZowYYIyMjLU3Nzc6/jNmzfr+9//vnJzc7Vjxw7NmTNHc+bM0WuvvXacZx4efV0P6ZO/Avree+/Zt3ffffc4zjh82traNGHCBJWWln6p8Xv27FFmZqYuvfRS1dfXa/78+frpT3+qF154IcwzPT76uh49GhsbQ46PpKSkMM3w+KmqqlJ+fr5eeeUVVVRUqLOzUzNmzFBbW9tR72Pqe8exrIVk7vvG6aefrsWLF6uurk7btm3TN7/5Tc2ePVsNDQ29jjf1uOjR1/WQHDo2LISYMmWKlZ+fb//c1dVlJScnWyUlJb2Ov/LKK63MzMyQbWlpada1114b1nkeL31djzVr1lhut/s4zS5yJFnr16//3DE333yzNW7cuJBtV111lZWRkRHGmUXGl1mPv/3tb5Yk68MPPzwuc4qk5uZmS5JVVVV11DGmv3f0+DJrcbK8b/QYOnSo9dvf/rbXfSfLcXG4z1sPp44NzuwcpqOjQ3V1dUpPT7e3RUdHKz09XTU1Nb3ep6amJmS8JGVkZBx1fH9yLOshSQcOHNDIkSOVkpLyhcVuMpOPjf/FxIkTNXz4cH3rW9/Syy+/HOnphEUgEJCkz/0iw5Pl+PgyayGdHO8bXV1deuyxx9TW1nbUrz46WY4L6cuth+TMsUHsHOaDDz5QV1fXZ/5Ks8fjOep1BX6/v0/j+5NjWY/Ro0fr4Ycf1lNPPaU//OEP6u7u1tSpU/Xvf//7eEz5hHK0YyMYDOr//u//IjSryBk+fLhWr16tJ598Uk8++aRSUlI0bdo0bd++PdJTc1R3d7fmz5+vCy+8UGefffZRx5n83tHjy66F6e8bO3fu1Kmnnqq4uDj97Gc/0/r16zV27Nhex54Mx0Vf1sOpY+OE/boI9E8+ny+k0KdOnaoxY8bowQcf1J133hnBmSHSRo8erdGjR9s/T506VW+99Zbuu+8+/f73v4/gzJyVn5+v1157Tf/4xz8iPZWI+7JrYfr7xujRo1VfX69AIKA///nPysnJUVVV1VH/gTddX9bDqWOD2DnMaaedpgEDBqipqSlke1NTk7xeb6/38Xq9fRrfnxzLehxp4MCBOvfcc/Wvf/0rHFM8oR3t2HC5XBo0aFCEZnVimTJlilFRUFBQoI0bN6q6ulqnn3765441+b1D6ttaHMm0943Y2FidccYZkqRJkyZp69atuv/++/Xggw9+Zqzpx4XUt/U40rEeG/wa6zCxsbGaNGmSKisr7W3d3d2qrKw86u8TfT5fyHhJqqio+NzfP/YXx7IeR+rq6tLOnTs1fPjwcE3zhGXyseGU+vp6I44Ny7JUUFCg9evXa9OmTUpNTf3C+5h6fBzLWhzJ9PeN7u5utbe397rP1OPi83zeehzpmI+N//kSZ8M89thjVlxcnLV27Vrr9ddft/Ly8qyEhATL7/dblmVZV199tVVYWGiPf/nll62YmBhr6dKl1q5du6xbb73VGjhwoLVz585IvQRH9XU9br/9duuFF16w3nrrLauurs7Kysqy4uPjrYaGhki9BMd89NFH1o4dO6wdO3ZYkqxly5ZZO3bssN59913LsiyrsLDQuvrqq+3xb7/9tnXKKadYN910k7Vr1y6rtLTUGjBggFVeXh6pl+Covq7HfffdZ23YsMHavXu3tXPnTuuGG26woqOjrb/+9a+RegmOue666yy322299NJL1nvvvWffPv74Y3vMyfLecSxrYfL7RmFhoVVVVWXt2bPHevXVV63CwkIrKirKevHFFy3LOnmOix59XQ+njg1ipxcrV660RowYYcXGxlpTpkyxXnnlFXvfN77xDSsnJydk/J/+9Cfr61//uhUbG2uNGzfOevbZZ4/zjMOrL+sxf/58e6zH47FmzZplbd++PQKzdl7PR6ePvPW8/pycHOsb3/jGZ+4zceJEKzY21vrqV79qrVmz5rjPO1z6uh733nuv9bWvfc2Kj4+3EhMTrWnTplmbNm2KzOQd1ts6SAr53/tkee84lrUw+X3jmmuusUaOHGnFxsZaX/nKV6zp06fb/7Bb1slzXPTo63o4dWxEWZZl9e1cEAAAQP/BNTsAAMBoxA4AADAasQMAAIxG7AAAAKMROwAAwGjEDgAAMBqxAwAAjEbsAAAAoxE7AADAaMQOAAAwGrEDAACMRuwAAACj/T8b5mLAoy3pLgAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "HDdiam = [0. for t in range(nHDs)]\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on current HD diam for HD number\",t)\n",
    "    HDdiam[t] = (HDpoly[t].intersection(MAP) ).area ** 0.5\n",
    "plt.hist([HDdiam[t] for t in popHDlist])\n",
    "print(\"here is the histogram of HD diameter = sqrt(area)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "45e3c17c-8c16-4bc5-b7fc-25b9250ed11a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we will regrow all disco'd HDs off by more than 38527 but less than 192632\n",
      "... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\n",
      "This is a total of 139 HDs to triage in this block\n",
      "working on swell-filling discontig HD 36 our 1 th HD we think we can swell out of 139 0.0 sec elapsed\n",
      "working on swell-filling discontig HD 2388 our 41 th HD we think we can swell out of 139 866.895 sec elapsed\n",
      "working on swell-filling discontig HD 7003 our 81 th HD we think we can swell out of 139 1273.695 sec elapsed\n",
      "working on swell-filling discontig HD 1674 our 121 th HD we think we can swell out of 139 2282.334 sec elapsed\n",
      "we partially regrew 136 HDs, leaving 19 to regrow from scratch\n"
     ]
    }
   ],
   "source": [
    "### THIS IS THE CANSWELL CODE\n",
    "print(\"Here, we will regrow all disco'd HDs off by more than\",int(aDP-minPostFixPop),\"but less than\",int(0.25*aDP) )\n",
    "print(\"... from the contiguous block that contains the hdCP (not full regrowth).  We will swell out, avoiding enclaves\")\n",
    "HDnAddedUnits = [0 for t in range(nHDs)]\n",
    "maxGap = 0.9 * np.median(unitPop)  #set a reasonable gap prior to picking the last block\n",
    "HDdiam = [HDpoly[t].area ** 0.5 for t in range(nHDs) ] #in case not defined before\n",
    "badDiscoList = list()\n",
    "nCanSwell = 0\n",
    "triageList = discontigOnly + bothProblems\n",
    "print(\"This is a total of\",len(triageList),\"HDs to triage in this block\")\n",
    "startTime = time.time()\n",
    " \n",
    "for i,t in enumerate(triageList): #canSwell\n",
    "    if i%40 == 0:\n",
    "        SEC = r3(time.time()-startTime)\n",
    "        print(\"working on swell-filling discontig HD\",t,\"our\",i+1,\"th HD we think we can swell out of\",len(triageList),SEC,\"sec elapsed\" )\n",
    "    distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "    starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = getContigFromStarter(starterU, HDunitList[t], unitNbrs)\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    if contigPop < 0.50 * aDP or contigPop > 2.*aDP - minPostFixPop:  #formerly < 0.75 aDP\n",
    "        badDiscoList.append(t)\n",
    "    else: #rebuild from this big piece\n",
    "        nCanSwell +=1\n",
    "        gap = aDP - contigPop\n",
    "        origGap = gap\n",
    "        currList, addedList = contigUs.copy(), list()\n",
    "        adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "        nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "        nearHDscore = [ (unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] for uu in adjoiners ] \n",
    "        stillGoing = True\n",
    "\n",
    "        while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "            while i < len(nearHDscore) and notYetPicked:        \n",
    "                listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "                canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "                if canAdd:\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't add any more units without creating an enclave\n",
    "            else: #we selected the best unit to add legally\n",
    "                gap -= unitPop[unitNoToAdd]\n",
    "                addedList.append(unitNoToAdd)  #so add it to our growing HD ...\n",
    "                currList.append( unitNoToAdd)\n",
    "                for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                    if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append((unitUse[uu] - 1.) + 0.5*(unitCP[uu].distance(\n",
    "                            HDpoly[t]) + unitCP[uu].distance(hdCP[t]) ) / HDdiam[t] )\n",
    "                del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                for i, uu in enumerate(nearHDlist.copy()):\n",
    "                    if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                        del nearHDscore[nearHDlist.index(uu)]\n",
    "                        del nearHDlist[ nearHDlist.index(uu)]\n",
    "        for u in addedList:\n",
    "            unitUse[u] += HDweight[t] * nDistricts\n",
    "        for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "            unitUse[u] -= HDweight[t] * nDistricts       \n",
    "        HDunitList[t] = contigUs + addedList\n",
    "        HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "        HDnAddedUnits[t] = len(addedList)\n",
    "    \n",
    "badDiscoList += enclaveOnly\n",
    "print(\"we partially regrew\",nCanSwell,\"HDs, leaving\",len(badDiscoList),\"to regrow from scratch\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "f57325dd-523c-466a-80cb-8e10b739b4ac",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "previous avg use and its sd are 0.99432 0.19358\n",
      "defining and displaying current unit use after above manipulations; compare to original farther above.\n",
      "current avg use and its sd are 0.99476 0.19181\n",
      "CCB cluster 0 = unit 7066 with pop 139080.0 now has use of 0.9774815480447784\n",
      "CCB cluster 1 = unit 7067 with pop 110132.0 now has use of 1.0238899788339804\n",
      "CCB cluster 2 = unit 7068 with pop 67024.0 now has use of 0.9862677298855175\n",
      "CCB cluster 3 = unit 7069 with pop 17788.0 now has use of 1.1251945256765747\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"previous avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after above manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "\n",
    "for u, unitNo in enumerate(allUnits):\n",
    "    if unitNo % 1 == 0.25:\n",
    "        print(\"CCB cluster\",int(unitNo),\"= unit\",u,\"with pop\",unitPop[u],\"now has use of\",unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "0ce918e1-0d30-4930-9fb8-0769d793683c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "quick classification: who has contiguity problems?\n",
      "working on HD 0 time is now 0\n",
      "working on HD 1001 time is now 17\n",
      "working on HD 2001 time is now 30\n",
      "working on HD 3001 time is now 43\n",
      "working on HD 4002 time is now 61\n",
      "working on HD 5002 time is now 80\n",
      "working on HD 6002 time is now 100\n",
      "working on HD 7002 time is now 119\n",
      "out of 7432 total HDs, there were 7429.0 contiguous and 7397.0 complement-contiguous HDs\n",
      "3 HDs had both discontiguity problems, while enclave-only = 32 and discontig only= 0\n",
      "here are the histograms of the small piece and enclave list lengths, total no = 3 32\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And here are the small-HD-piece and small-enclave pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#THIS is the FINDSTILLBROKEN code\n",
    "print(\"quick classification: who has contiguity problems?\")\n",
    "nUnbroken, nNoEnclave, smallPieceLists, enclaveLists, sPgenerator, eLgenerator = 0., 0., list(), list(), list(), list()\n",
    "smallPieceLengths, enclaveLengths = list(), list()\n",
    "doubleTroubleList = list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%1000 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken:\n",
    "        nUnbroken +=1\n",
    "    if noEnclave:\n",
    "        nNoEnclave +=1\n",
    "    if not unbroken:\n",
    "        smallPieceLists.append(smallPieceList)\n",
    "        smallPieceLengths.append(len(smallPieceList))\n",
    "        sPgenerator.append(t)\n",
    "    if not noEnclave and unbroken:   #district is contiguous but contains 1+ enclave\n",
    "        enclaveLists.append(enclaveList)\n",
    "        enclaveLengths.append(len(enclaveList))\n",
    "        eLgenerator.append(t)\n",
    "    if not noEnclave and not unbroken:  #extremely discontig (\"broken\") HDs can appear to have enclaves;\n",
    "        doubleTroubleList.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",nUnbroken,\"contiguous and\",nNoEnclave,\"complement-contiguous HDs\")\n",
    "print(len(doubleTroubleList),\"HDs had both discontiguity problems, while enclave-only =\",len(eLgenerator),\n",
    "      \"and discontig only=\",len(sPgenerator)-len(doubleTroubleList) )\n",
    "\n",
    "print(\"here are the histograms of the small piece and enclave list lengths, total no =\",\n",
    "      len(smallPieceLists),len(enclaveLists) )\n",
    "plt.hist([s for s in smallPieceLengths],label=\"small piece l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.hist([e for e in enclaveLengths],label=\"enclave l units\",histtype='step',\n",
    "         cumulative=True,bins=[0,1,2,3,4,5,6,8,10,12,15,20,25,30,35,40,45,50,60,80,120,200])\n",
    "plt.legend()\n",
    "plt.show()\n",
    "print(\"And here are the small-HD-piece and small-enclave pops\")\n",
    "plt.hist([sum(unitPop[u] for u in s) for s in smallPieceLists],label=\"small piece 1 pop\",histtype='step')\n",
    "plt.hist([sum(unitPop[u] for u in e) for e in enclaveLists],label=\"enclave 1 pop\",histtype='step')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "463db75a-694e-4c7d-9693-e10f3b4d65db",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Before addressing enclaves, let's triage the discontinuous HDs\n",
      "Now work on dropping smallish disconnected pieces that would keep us above 732001 district pop vs 770528 target\n",
      "we'll also trim any HD with total islands' pop <= 15410\n",
      "working on HD 766\n",
      "Out of 3 discontig HDs 3 had discontig HDs.\n",
      "Of these, 0 won't be under 732001 after all minor discontigys were shed, while 3 would be too underpopped if we trimmed the discontig pieces\n",
      "here is adjusted pop by original pop for those we trimmed and those we didn't (x)\n"
     ]
    },
    {
     "data": {
      "image/png": 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AcC2CEAAAcC2CEAAAcC2CEAAAcC2CEAAAcC2CEAAAcC2CEAAAcC2CEAAAcC2CEAAAcK2IglCPHj3k8XiabJMnT5Yk7dq1S9dee626dOmi5ORkjR49Wnv37j3lHCUlJWE1W7Zs0dChQxUfH6+srCzNnDmzyVqWLFmivn37Kj4+Xv3799eKFSvCxs1M999/v7p27aqEhATl5+drx44dkbQLAADOcREFoQ0bNqimpsbZSktLJUnXX3+9vvrqKw0fPlwej0erV6/WunXr1NDQoH//939XKBQKm+ehhx4Km+f22293xoLBoIYPH67u3bursrJSs2bN0gMPPKBnn33WqVm/fr3GjBmjiRMnauPGjRo5cqRGjhypqqoqp2bmzJl67LHH9PTTT6uiokJJSUkqKCjQ4cOHT+uJAgAA5yD7BqZMmWI9e/a0UChkK1eutKioKAsEAs643+83j8djpaWlzrHu3bvbnDlzWpzzySeftLS0NKuvr3eOFRUVWZ8+fZz90aNHW2FhYdh5ubm5NmnSJDMzC4VC5vP5bNasWWFr8Xq9tnDhwlb3FwgETFJYTwAA4Lstkuv3aX9GqKGhQQsWLNCECRPk8XhUX18vj8cjr9fr1MTHxysqKkpr164NO7ekpESdOnXSwIEDNWvWLB09etQZKy8v15VXXqm4uDjnWEFBgaqrq3XgwAGnJj8/P2zOgoIClZeXS5J2796t2trasJqUlBTl5uY6Nc2pr69XMBgM2wAAwLnrtIPQsmXL5Pf7NX78eEnS5ZdfrqSkJBUVFenQoUP66quv9POf/1yNjY2qqalxzrvjjju0aNEivfXWW5o0aZIeeeQR3XPPPc54bW2tMjIywh7r+H5tbe1Ja04cP/G85mqaU1xcrJSUFGfLysqK5CkBAADtzGkHoXnz5mnEiBHKzMyUJHXp0kVLlizRa6+9pg4dOiglJUV+v1+DBg1SVNQ/H2bq1Kn6wQ9+oIsvvli33nqrfvWrX+nxxx9XfX39N+/mG5o2bZoCgYCzffrpp229JAAAcAbFnM5Je/bs0apVq7R06dKw48OHD9euXbv097//XTExMUpNTZXP59MFF1zQ4ly5ubk6evSoPv74Y/Xp00c+n6/JnWbH930+n/PP5mpOHD9+rGvXrmE1AwYMaHEtXq837K09AABwbjutV4Tmz5+v9PR0FRYWNjveuXNnpaamavXq1dq3b5+uvvrqFufatGmToqKilJ6eLknKy8vTmjVrdOTIEaemtLRUffr0UVpamlNTVlYWNk9paany8vIkSTk5OfL5fGE1wWBQFRUVTg0AAEDEd401NjZadna2FRUVNRl7/vnnrby83Hbu3Gl/+MMfrGPHjjZ16lRnfP369TZnzhzbtGmT7dq1yxYsWGBdunSxG2+80anx+/2WkZFh48aNs6qqKlu0aJElJibaM88849SsW7fOYmJibPbs2bZ9+3abMWOGxcbG2tatW52akpISS01NtVdeecW2bNli11xzjeXk5FhdXV2re+WuMQAA2p9Irt8RB6GVK1eaJKuurm4yVlRUZBkZGRYbG2u9e/e2X/3qVxYKhZzxyspKy83NtZSUFIuPj7eLLrrIHnnkETt8+HDYPJs3b7YrrrjCvF6vdevWzUpKSpo81uLFi+3CCy+0uLg469evny1fvjxsPBQK2fTp0y0jI8O8Xq8NGzas2TWfDEEIAID2J5Lrt8fMrE1fkvoOCwaDSklJUSAQUHJyclsvBwAAtEIk129+1xgAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHAtghAAAHCtiIJQjx495PF4mmyTJ0+WJO3atUvXXnutunTpouTkZI0ePVp79+4Nm2P//v0aO3askpOTlZqaqokTJ+rLL78Mq9myZYuGDh2q+Ph4ZWVlaebMmU3WsmTJEvXt21fx8fHq37+/VqxYETZuZrr//vvVtWtXJSQkKD8/Xzt27IikXQAAcI6LKAht2LBBNTU1zlZaWipJuv766/XVV19p+PDh8ng8Wr16tdatW6eGhgb9+7//u0KhkDPH2LFj9cEHH6i0tFSvv/661qxZo1tuucUZDwaDGj58uLp3767KykrNmjVLDzzwgJ599lmnZv369RozZowmTpyojRs3auTIkRo5cqSqqqqcmpkzZ+qxxx7T008/rYqKCiUlJamgoECHDx8+7ScLAACcY+wbmDJlivXs2dNCoZCtXLnSoqKiLBAIOON+v988Ho+Vlpaamdm2bdtMkm3YsMGpeeONN8zj8djnn39uZmZPPvmkpaWlWX19vVNTVFRkffr0cfZHjx5thYWFYWvJzc21SZMmmZlZKBQyn89ns2bNCluL1+u1hQsXtrq/QCBgksJ6AgAA322RXL9P+zNCDQ0NWrBggSZMmCCPx6P6+np5PB55vV6nJj4+XlFRUVq7dq0kqby8XKmpqbrsssucmvz8fEVFRamiosKpufLKKxUXF+fUFBQUqLq6WgcOHHBq8vPzw9ZTUFCg8vJySdLu3btVW1sbVpOSkqLc3Fynpjn19fUKBoNhGwAAOHeddhBatmyZ/H6/xo8fL0m6/PLLlZSUpKKiIh06dEhfffWVfv7zn6uxsVE1NTWSpNraWqWnp4fNExMTo44dO6q2ttapycjICKs5vn+qmhPHTzyvuZrmFBcXKyUlxdmysrJa/XwAAID257SD0Lx58zRixAhlZmZKkrp06aIlS5botddeU4cOHZSSkiK/369BgwYpKqp93Jw2bdo0BQIBZ/v000/bekkAAOAMijmdk/bs2aNVq1Zp6dKlYceHDx+uXbt26e9//7tiYmKUmpoqn8+nCy64QJLk8/m0b9++sHOOHj2q/fv3y+fzOTVfv9Ps+P6pak4cP36sa9euYTUDBgxosS+v1xv21h4AADi3ndZLNfPnz1d6eroKCwubHe/cubNSU1O1evVq7du3T1dffbUkKS8vT36/X5WVlU7t6tWrFQqFlJub69SsWbNGR44ccWpKS0vVp08fpaWlOTVlZWVhj1laWqq8vDxJUk5Ojnw+X1hNMBhURUWFUwMAABDxXWONjY2WnZ1tRUVFTcaef/55Ky8vt507d9of/vAH69ixo02dOjWs5qqrrrKBAwdaRUWFrV271nr37m1jxoxxxv1+v2VkZNi4ceOsqqrKFi1aZImJifbMM884NevWrbOYmBibPXu2bd++3WbMmGGxsbG2detWp6akpMRSU1PtlVdesS1bttg111xjOTk5VldX1+peuWsMAID2J5Lrd8RBaOXKlSbJqqurm4wVFRVZRkaGxcbGWu/eve1Xv/qVhUKhsJp//OMfNmbMGOvQoYMlJyfbzTffbAcPHgyr2bx5s11xxRXm9XqtW7duVlJS0uSxFi9ebBdeeKHFxcVZv379bPny5WHjoVDIpk+fbhkZGeb1em3YsGHNrvlkCEIAALQ/kVy/PWZmbfqS1HdYMBhUSkqKAoGAkpOT23o5AACgFSK5freP27kAAADOAIIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwLYIQAABwrYiCUI8ePeTxeJpskydPliTV1tZq3Lhx8vl8SkpK0qBBg/TnP//5lHOUlJSE1WzZskVDhw5VfHy8srKyNHPmzCZrWbJkifr27av4+Hj1799fK1asCBs3M91///3q2rWrEhISlJ+frx07dkTSLgAAOMdFFIQ2bNigmpoaZystLZUkXX/99ZKkG2+8UdXV1Xr11Ve1detWjRo1SqNHj9bGjRvD5nnooYfC5rn99tudsWAwqOHDh6t79+6qrKzUrFmz9MADD+jZZ591atavX68xY8Zo4sSJ2rhxo0aOHKmRI0eqqqrKqZk5c6Yee+wxPf3006qoqFBSUpIKCgp0+PDhyJ8lAABwbrJvYMqUKdazZ08LhUJmZpaUlGS///3vw2o6duxozz33nLPfvXt3mzNnTotzPvnkk5aWlmb19fXOsaKiIuvTp4+zP3r0aCssLAw7Lzc31yZNmmRmZqFQyHw+n82aNcsZ9/v95vV6beHCha3uLxAImCQLBAKtPgcAALStSK7fp/0ZoYaGBi1YsEATJkyQx+ORJA0ZMkQvvfSS9u/fr1AopEWLFunw4cP6wQ9+EHZuSUmJOnXqpIEDB2rWrFk6evSoM1ZeXq4rr7xScXFxzrGCggJVV1frwIEDTk1+fn7YnAUFBSovL5ck7d69W7W1tWE1KSkpys3NdWqaU19fr2AwGLYBAIBzV8zpnrhs2TL5/X6NHz/eObZ48WL95Cc/UadOnRQTE6PExES9/PLL6tWrl1Nzxx13aNCgQerYsaPWr1+vadOmqaamRr/+9a8lHfucUU5OTthjZWRkOGNpaWmqra11jp1YU1tb69SdeF5zNc0pLi7Wgw8+GOEzAQAA2qvTDkLz5s3TiBEjlJmZ6RybPn26/H6/Vq1apc6dO2vZsmUaPXq03n77bfXv31+SNHXqVKf+4osvVlxcnCZNmqTi4mJ5vd5v0Mo3N23atLD1BYNBZWVlteGKAADAmXRaQWjPnj1atWqVli5d6hzbtWuXnnjiCVVVValfv36SpEsuuURvv/225s6dq6effrrZuXJzc3X06FF9/PHH6tOnj3w+n/bu3RtWc3zf5/M5/2yu5sTx48e6du0aVjNgwIAW+/J6vW0exgAAwNlzWp8Rmj9/vtLT01VYWOgcO3To0LEJo8KnjI6OVigUanGuTZs2KSoqSunp6ZKkvLw8rVmzRkeOHHFqSktL1adPH6WlpTk1ZWVlYfOUlpYqLy9PkpSTkyOfzxdWEwwGVVFR4dQAAABEfNdYY2OjZWdnW1FRUdjxhoYG69Wrlw0dOtQqKips586dNnv2bPN4PLZ8+XIzM1u/fr3NmTPHNm3aZLt27bIFCxZYly5d7MYbb3Tm8fv9lpGRYePGjbOqqipbtGiRJSYm2jPPPOPUrFu3zmJiYmz27Nm2fft2mzFjhsXGxtrWrVudmpKSEktNTbVXXnnFtmzZYtdcc43l5ORYXV1dq3vlrjEAANqfSK7fEQehlStXmiSrrq5uMvbRRx/ZqFGjLD093RITE+3iiy8Ou52+srLScnNzLSUlxeLj4+2iiy6yRx55xA4fPhw2z+bNm+2KK64wr9dr3bp1s5KSkiaPtXjxYrvwwgstLi7O+vXr54St40KhkE2fPt0yMjLM6/XasGHDml3zyRCEAABofyK5fnvMzNr0JanvsGAwqJSUFAUCASUnJ7f1cgAAQCtEcv3md40BAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXIggBAADXiigI9ejRQx6Pp8k2efJkSVJtba3GjRsnn8+npKQkDRo0SH/+85/D5ti/f7/Gjh2r5ORkpaamauLEifryyy/DarZs2aKhQ4cqPj5eWVlZmjlzZpO1LFmyRH379lV8fLz69++vFStWhI2bme6//3517dpVCQkJys/P144dOyJpFwAAnOMiCkIbNmxQTU2Ns5WWlkqSrr/+eknSjTfeqOrqar366qvaunWrRo0apdGjR2vjxo3OHGPHjtUHH3yg0tJSvf7661qzZo1uueUWZzwYDGr48OHq3r27KisrNWvWLD3wwAN69tlnnZr169drzJgxmjhxojZu3KiRI0dq5MiRqqqqcmpmzpypxx57TE8//bQqKiqUlJSkgoICHT58+PSeKQAAcO6xb2DKlCnWs2dPC4VCZmaWlJRkv//978NqOnbsaM8995yZmW3bts0k2YYNG5zxN954wzwej33++edmZvbkk09aWlqa1dfXOzVFRUXWp08fZ3/06NFWWFgY9ji5ubk2adIkMzMLhULm8/ls1qxZzrjf7zev12sLFy5sdX+BQMAkWSAQaPU5AACgbUVy/T7tzwg1NDRowYIFmjBhgjwejyRpyJAheumll7R//36FQiEtWrRIhw8f1g9+8ANJUnl5uVJTU3XZZZc58+Tn5ysqKkoVFRVOzZVXXqm4uDinpqCgQNXV1Tpw4IBTk5+fH7aegoIClZeXS5J2796t2trasJqUlBTl5uY6Nc2pr69XMBgM2wAAwLnrtIPQsmXL5Pf7NX78eOfY4sWLdeTIEXXq1Eler1eTJk3Syy+/rF69ekk69hmi9PT0sHliYmLUsWNH1dbWOjUZGRlhNcf3T1Vz4viJ5zVX05zi4mKlpKQ4W1ZWVqueCwAA0D6ddhCaN2+eRowYoczMTOfY9OnT5ff7tWrVKr333nuaOnWqRo8era1bt34riz3Tpk2bpkAg4GyffvppWy8JAACcQTGnc9KePXu0atUqLV261Dm2a9cuPfHEE6qqqlK/fv0kSZdcconefvttzZ07V08//bR8Pp/27dsXNtfRo0e1f/9++Xw+SZLP59PevXvDao7vn6rmxPHjx7p27RpWM2DAgBb78nq98nq9rX4eAABA+3ZarwjNnz9f6enpKiwsdI4dOnTo2IRR4VNGR0crFApJkvLy8uT3+1VZWemMr169WqFQSLm5uU7NmjVrdOTIEaemtLRUffr0UVpamlNTVlYW9jilpaXKy8uTJOXk5Mjn84XVBINBVVRUODUAAAAR3zXW2Nho2dnZVlRUFHa8oaHBevXqZUOHDrWKigrbuXOnzZ492zwejy1fvtypu+qqq2zgwIFWUVFha9eutd69e9uYMWOccb/fbxkZGTZu3DirqqqyRYsWWWJioj3zzDNOzbp16ywmJsZmz55t27dvtxkzZlhsbKxt3brVqSkpKbHU1FR75ZVXbMuWLXbNNddYTk6O1dXVtbpX7hoDAKD9ieT6HXEQWrlypUmy6urqJmMfffSRjRo1ytLT0y0xMdEuvvjiJrfT/+Mf/7AxY8ZYhw4dLDk52W6++WY7ePBgWM3mzZvtiiuuMK/Xa926dbOSkpImj7V48WK78MILLS4uzvr16xcWtsyO3UI/ffp0y8jIMK/Xa8OGDWt2zSdDEAIAoP2J5PrtMTNr05ekvsOCwaBSUlIUCASUnJzc1ssBAACtEMn1m981BgAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXIsgBAAAXCuiINSjRw95PJ4m2+TJk/Xxxx83O+bxeLRkyRJnjubGFy1aFPY4//3f/61BgwbJ6/WqV69eeuGFF5qsZe7cuerRo4fi4+OVm5urd999N2z88OHDmjx5sjp16qQOHTrouuuu0969eyNpFwAAnOMiCkIbNmxQTU2Ns5WWlkqSrr/+emVlZYWN1dTU6MEHH1SHDh00YsSIsHnmz58fVjdy5EhnbPfu3SosLNQPf/hDbdq0SXfeead++tOfauXKlU7NSy+9pKlTp2rGjBl6//33dckll6igoED79u1zau666y699tprWrJkif7617/qiy++0KhRo07nOQIAAOcoj5nZ6Z5855136vXXX9eOHTvk8XiajA8cOFCDBg3SvHnz/vmAHo9efvnlsPBzoqKiIi1fvlxVVVXOsRtuuEF+v19vvvmmJCk3N1f/8i//oieeeEKSFAqFlJWVpdtvv1333nuvAoGAunTpohdffFH/8R//IUn68MMPddFFF6m8vFyXX355q/oLBoNKSUlRIBBQcnJyq84BAABtK5Lr92l/RqihoUELFizQhAkTmg1BlZWV2rRpkyZOnNhkbPLkyercubMGDx6s559/XidmsfLycuXn54fVFxQUqLy83HncysrKsJqoqCjl5+c7NZWVlTpy5EhYTd++fZWdne3UNKe+vl7BYDBsAwAA566Y0z1x2bJl8vv9Gj9+fLPj8+bN00UXXaQhQ4aEHX/ooYf0ox/9SImJifrLX/6i2267TV9++aXuuOMOSVJtba0yMjLCzsnIyFAwGFRdXZ0OHDigxsbGZms+/PBDZ464uDilpqY2qamtrW2xp+LiYj344IOtaR8AAJwDTjsIzZs3TyNGjFBmZmaTsbq6Or344ouaPn16k7ETjw0cOFBfffWVZs2a5QShtjRt2jRNnTrV2Q8Gg8rKymrDFQEAgDPptN4a27Nnj1atWqWf/vSnzY7/6U9/0qFDh3TjjTeecq7c3Fx99tlnqq+vlyT5fL4md3ft3btXycnJSkhIUOfOnRUdHd1sjc/nc+ZoaGiQ3+9vsaY5Xq9XycnJYRsAADh3nVYQmj9/vtLT01VYWNjs+Lx583T11VerS5cup5xr06ZNSktLk9frlSTl5eWprKwsrKa0tFR5eXmSpLi4OF166aVhNaFQSGVlZU7NpZdeqtjY2LCa6upqffLJJ04NAABAxG+NhUIhzZ8/XzfddJNiYpqevnPnTq1Zs0YrVqxoMvbaa69p7969uvzyyxUfH6/S0lI98sgj+vnPf+7U3HrrrXriiSd0zz33aMKECVq9erUWL16s5cuXOzVTp07VTTfdpMsuu0yDBw/Wb37zG3311Ve6+eabJUkpKSmaOHGipk6dqo4dOyo5OVm333678vLyWn3HGAAAcAGL0MqVK02SVVdXNzs+bdo0y8rKssbGxiZjb7zxhg0YMMA6dOhgSUlJdskll9jTTz/dpPatt96yAQMGWFxcnF1wwQU2f/78JnM9/vjjlp2dbXFxcTZ48GB75513wsbr6urstttus7S0NEtMTLRrr73WampqIuo1EAiYJAsEAhGdBwAA2k4k1+9v9D1C5zq+RwgAgPbnrHyPEAAAQHtHEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK5FEAIAAK4V09YLcLNDDUdbHIvyeBQfG33Ga+saGmWyZms98igh7vRqDx9pVMiar5WkxLiYNq9NiI2Wx+ORJNUfbVRj6NupjY+JVlTUsdqGoyEdDYW+lVpvTLSiT6P2SGNIRxpbro2LjlJMdFTEtUcbQ2o4SW1sdJRiT6O2MWSqP9rYYm1MVJTiYiKvDYVMh7+l2ugoj7wxx/6+m5nqjnw7tWfrv3t+RrSulp8Rx5yNnxFtiSDUhr53/8oWx37Yp4vm3zzY2b/04VUt/gDNzemolyblOftXPPqW9n/V0Gztxeen6NX/9wpnP//Xf9Xn/rpma3und1Dp1H919q9+Yq127Puy2dpuqQlad++PnP3Rz5Rry2eBZms7JsXp/en/5uzf9Py7qti9v9nahNhobX/4Kmf//1lQqbeq/6fZWkn6uKTQ+fepizdpxdbaFmu3PVTg/FD8P0ur9Of3P2uxtvK+fHXq4JUk/d/Xt+sP7+xpsfbte36orI6JkqTZf6nWs2v+1mLtX+66UhdmnCdJmvvWTv22bEeLta9M/l+6JCtVkjR/3W4Vv/Fhi7UL/+ty5fXsdOzf3/1E97/yQYu1z4+/TD/qmyFJWrbxc939py0t1s79z0EqvLirJGnlB3s1+cX3W6yd9R8X6/rLsiRJa3b8jya88F6LtQ9d00835vWQJL27e7/GPPdOi7XTRvTVpH/tKUmq+jyga+aua7F2yrDeuuvfLpQk7fyfLzV8zpoWa2+58gL9nx9fJEn63F+noTPfarF23OXd9fDI70uS9n/VoEv/76oWa68bdL5+NfoSSVLdkcaT/nf/4/4+PTn2UmefnxHH8DPi3P8Z0ZbaPooBAAC0EY/ZSV4XdLlgMKiUlBQFAgElJyd/6/Pzsnfb1vKy9zG8NRZ5LW+NHcPPiNOr5WfEMWfyrbGIrt8Wge7du5ukJtttt91mu3fvbnZMki1evNiZY8+ePfbjH//YEhISrEuXLvbzn//cjhw5EvY4b731lg0cONDi4uKsZ8+eNn/+/CZreeKJJ6x79+7m9Xpt8ODBVlFRETZeV1dnt912m3Xs2NGSkpJs1KhRVltbG0m7FggETJIFAoGIzgMAAG0nkut3RFFsw4YNqqmpcbbS0lJJ0vXXX6+srKywsZqaGj344IPq0KGDRowYIUlqbGxUYWGhGhoatH79ev3ud7/TCy+8oPvvv995jN27d6uwsFA//OEPtWnTJt1555366U9/qpUr//le+UsvvaSpU6dqxowZev/993XJJZeooKBA+/btc2ruuusuvfbaa1qyZIn++te/6osvvtCoUaMiaRcAAJzrvknimjJlivXs2dNCoVCz4wMGDLAJEyY4+ytWrLCoqKiwV2aeeuopS05Otvr6ejMzu+eee6xfv35h8/zkJz+xgoICZ3/w4ME2efJkZ7+xsdEyMzOtuLjYzMz8fr/FxsbakiVLnJrt27ebJCsvL291f7wiBABA+3PGXhE6UUNDgxYsWKAJEyY474ueqLKyUps2bdLEiROdY+Xl5erfv78yMjKcYwUFBQoGg/rggw+cmvz8/LC5CgoKVF5e7jxuZWVlWE1UVJTy8/OdmsrKSh05ciSspm/fvsrOznZqmlNfX69gMBi2AQCAc9dpB6Fly5bJ7/dr/PjxzY7PmzdPF110kYYMGeIcq62tDQtBkpz92trak9YEg0HV1dXp73//uxobG5utOXGOuLg4paamtljTnOLiYqWkpDhbVlbb39YHAADOnNMOQvPmzdOIESOUmZnZZKyurk4vvvhi2KtB7cG0adMUCASc7dNPP23rJQEAgDPotL5Qcc+ePVq1apWWLl3a7Pif/vQnHTp0SDfeeGPYcZ/Pp3fffTfs2N69e52x4/88fuzEmuTkZCUkJCg6OlrR0dHN1pw4R0NDg/x+f9irQifWNMfr9crr9Z6kcwAAcC45rVeE5s+fr/T0dBUWFjY7Pm/ePF199dXq0qVL2PG8vDxt3bo17O6u0tJSJScn63vf+55TU1ZWFnZeaWmp8vKOfStqXFycLr300rCaUCiksrIyp+bSSy9VbGxsWE11dbU++eQTpwYAACDiu8YaGxstOzvbioqKmh3fsWOHeTwee+ONN5qMHT161L7//e/b8OHDbdOmTfbmm29aly5dbNq0aU7N3/72N0tMTLS7777btm/fbnPnzrXo6Gh78803nZpFixaZ1+u1F154wbZt22a33HKLpaamht2Nduutt1p2dratXr3a3nvvPcvLy7O8vLyIeuWuMQAA2p9Irt8RB6GVK1eaJKuurm52fNq0aZaVlWWNjY3Njn/88cc2YsQIS0hIsM6dO9vPfvazZr9QccCAARYXF2cXXHBBs1+o+Pjjj1t2drbFxcXZ4MGD7Z133gkbP/6FimlpaZaYmGjXXnut1dTURNQrQQgAgPYnkus3v2LjJM70r9gAAADfvkiu3/zSVQAA4FoEIQAA4FoEIQAA4Fqn9T1CbnH841P8qg0AANqP49ft1nwMmiB0EgcPHpQkftUGAADt0MGDB5WSknLSGu4aO4lQKKQvvvhC5513XrO/WPa7IhgMKisrS59++uk5f3ebW3p1S5+Se3p1S5+Se3p1S59S++vVzHTw4EFlZmYqKurknwLiFaGTiIqK0vnnn9/Wy2i15OTkdvEX9Nvgll7d0qfknl7d0qfknl7d0qfUvno91StBx/FhaQAA4FoEIQAA4FoEoXOA1+vVjBkz5PV623opZ5xbenVLn5J7enVLn5J7enVLn9K53SsflgYAAK7FK0IAAMC1CEIAAMC1CEIAAMC1CEIAAMC1CEJnQY8ePeTxeJpskydPliQdPnxYkydPVqdOndShQwddd9112rt3b9gcn3zyiQoLC5WYmKj09HTdfffdOnr0aFjNf//3f2vQoEHyer3q1auXXnjhhSZrmTt3rnr06KH4+Hjl5ubq3XffDRtvzVpOp8/9+/fr9ttvV58+fZSQkKDs7GzdcccdCgQC7a7PU/V6IjPTiBEj5PF4tGzZsnbXa2v6LC8v149+9CMlJSUpOTlZV155perq6pzx/fv3a+zYsUpOTlZqaqomTpyoL7/8MuxxtmzZoqFDhyo+Pl5ZWVmaOXNmk7UsWbJEffv2VXx8vPr3768VK1aEjZuZ7r//fnXt2lUJCQnKz8/Xjh07WtVna3qtra3VuHHj5PP5lJSUpEGDBunPf/5z2BztodfGxkZNnz5dOTk5SkhIUM+ePfXwww+H/U6m1sx/LvR65MgRFRUVqX///kpKSlJmZqZuvPFGffHFF+2q19b8mZ7o1ltvlcfj0W9+85t21ecZYzjj9u3bZzU1Nc5WWlpqkuytt94yM7Nbb73VsrKyrKyszN577z27/PLLbciQIc75R48ete9///uWn59vGzdutBUrVljnzp1t2rRpTs3f/vY3S0xMtKlTp9q2bdvs8ccft+joaHvzzTedmkWLFllcXJw9//zz9sEHH9h//dd/WWpqqu3du9epOdVaTrfPrVu32qhRo+zVV1+1nTt3WllZmfXu3duuu+66dtfnqXo90a9//WsbMWKESbKXX3653fV6qj7Xr19vycnJVlxcbFVVVfbhhx/aSy+9ZIcPH3bmuOqqq+ySSy6xd955x95++23r1auXjRkzxhkPBAKWkZFhY8eOtaqqKlu4cKElJCTYM88849SsW7fOoqOjbebMmbZt2za77777LDY21rZu3erUlJSUWEpKii1btsw2b95sV199teXk5FhdXd230uu//du/2b/8y79YRUWF7dq1yx5++GGLioqy999/v131+stf/tI6depkr7/+uu3evduWLFliHTp0sN/+9rcRzX8u9Or3+y0/P99eeukl+/DDD628vNwGDx5sl156adg83/VeW/NnetzSpUvtkksusczMTJszZ0676vNMIQi1gSlTpljPnj0tFAqZ3++32NhYW7JkiTO+fft2k2Tl5eVmZrZixQqLioqy2tpap+app56y5ORkq6+vNzOze+65x/r16xf2OD/5yU+soKDA2R88eLBNnjzZ2W9sbLTMzEwrLi42M2vVWk63z+YsXrzY4uLi7MiRI+26z5Z63bhxo3Xr1s1qamqaBKH22uvX+8zNzbX77ruvxfpt27aZJNuwYYNz7I033jCPx2Off/65mZk9+eSTlpaW5vRtZlZUVGR9+vRx9kePHm2FhYVhc+fm5tqkSZPMzCwUCpnP57NZs2Y5436/37xery1cuDDiPpvrNSkpyX7/+9+H1XTs2NGee+65dtVrYWGhTZgwIezYqFGjbOzYsa2e/1zptTnvvvuuSbI9e/a0m15b2+dnn31m3bp1s6qqKuvevXtYEGoPfZ4pvDV2ljU0NGjBggWaMGGCPB6PKisrdeTIEeXn5zs1ffv2VXZ2tsrLyyUde+uhf//+ysjIcGoKCgoUDAb1wQcfODUnznG85vgcDQ0NqqysDKuJiopSfn6+U9OatZxun80JBAJKTk5WTExMu+2zpV4PHTqk//zP/9TcuXPl8/manNMee/16n/v27VNFRYXS09M1ZMgQZWRk6F//9V+1du3asD5TU1N12WWXOcfy8/MVFRWliooKp+bKK69UXFxcWJ/V1dU6cOBAq56L3bt3q7a2NqwmJSVFubm539qf6ZAhQ/TSSy9p//79CoVCWrRokQ4fPqwf/OAH7arXIUOGqKysTB999JEkafPmzVq7dq1GjBjR6vnPlV6bEwgE5PF4lJqa2m56bU2foVBI48aN0913361+/fo1maM99Hmm8EtXz7Jly5bJ7/dr/Pjxko597iAuLs75j+64jIwM1dbWOjUnXjCPjx8fO1lNMBhUXV2dDhw4oMbGxmZrPvzww1av5XT7/Lq///3vevjhh3XLLbc4x9pjny31etddd2nIkCG65pprmj2nPfb69T7/9re/SZIeeOABzZ49WwMGDNDvf/97DRs2TFVVVerdu7dqa2uVnp4eNk9MTIw6duwY1mdOTk6Lz0VaWlqLz8WJc5x43jfps7leJWnx4sX6yU9+ok6dOikmJkaJiYl6+eWX1atXL2cN7aHXe++9V8FgUH379lV0dLQaGxv1y1/+UmPHjm31/OdKr193+PBhFRUVacyYMc4vFm0Pvbamz0cffVQxMTG64447mp2jPfR5phCEzrJ58+ZpxIgRyszMbOulnFEn6zMYDKqwsFDf+9739MADD5z9xX3Lvt7rq6++qtWrV2vjxo1tvLJv19f7DIVCkqRJkybp5ptvliQNHDhQZWVlev7551VcXNxma/2mmvv7O336dPn9fq1atUqdO3fWsmXLNHr0aL399tvq379/G642MosXL9Yf//hHvfjii+rXr582bdqkO++8U5mZmbrpppvaennfqkh6PXLkiEaPHi0z01NPPdVGKz49p+qzsrJSv/3tb/X++++3+Aq9m/HW2Fm0Z88erVq1Sj/96U+dYz6fTw0NDfL7/WG1e/fudd5S8fl8Te7yOb5/qprk5GQlJCSoc+fOio6ObrbmxDlOtZbT7fO4gwcP6qqrrtJ5552nl19+WbGxsc5Ye+uzpV5Xr16tXbt2KTU1VTExMc5bf9ddd53zNkp767W5Prt27SpJ+t73vhdWe9FFF+mTTz5xHn/fvn1h40ePHtX+/fu/lb/fJ46feN7p9tlSr7t27dITTzyh559/XsOGDdMll1yiGTNm6LLLLtPcuXPbVa9333237r33Xt1www3q37+/xo0bp7vuussJrq2Z/1zp9bjjIWjPnj0qLS11Xg1qL72eqs+3335b+/btU3Z2tvMzac+ePfrZz36mHj16tJs+zxSC0Fk0f/58paenq7Cw0Dl26aWXKjY2VmVlZc6x6upqffLJJ8rLy5Mk5eXlaevWrWF/SY//x3r8IpSXlxc2x/Ga43PExcXp0ksvDasJhUIqKytzalqzltPtUzr2StDw4cMVFxenV199VfHx8WHj7a3Plnq99957tWXLFm3atMnZJGnOnDmaP39+u+y1uT579OihzMxMVVdXh9V+9NFH6t69u9OD3+9XZWWlM7569WqFQiHl5uY6NWvWrNGRI0fC+uzTp4/S0tJa9Vzk5OTI5/OF1QSDQVVUVHwrf6aHDh2SdOwzWCeKjo52XhlrL70eOnTopH20Zv5zpVfpnyFox44dWrVqlTp16hRW3x56PVWf48aNa/IzKTMzU3fffbdWrlzZbvo8Y9rkI9ou1NjYaNnZ2VZUVNRk7NZbb7Xs7GxbvXq1vffee5aXl2d5eXnO+PFbrYcPH26bNm2yN99807p06dLsrdZ33323bd++3ebOndvsrdZer9deeOEF27Ztm91yyy2WmpoadufSqdZyun0GAgHLzc21/v37286dO8NuUz569Gi76/NkvTZHLdw+3x56PVmfc+bMseTkZFuyZInt2LHD7rvvPouPj7edO3c6NVdddZUNHDjQKioqbO3atda7d++wW3L9fr9lZGTYuHHjrKqqyhYtWmSJiYlNbsmNiYmx2bNn2/bt223GjBnN3pKbmppqr7zyim3ZssWuueaaiG/JbanXhoYG69Wrlw0dOtQqKips586dNnv2bPN4PLZ8+fJ21etNN91k3bp1c261Xrp0qXXu3NnuueeeiOY/F3ptaGiwq6++2s4//3zbtGlT2M+lE++M+q732po/06/7+l1j7aHPM4UgdJasXLnSJFl1dXWTsbq6OrvtttssLS3NEhMT7dprr7Wampqwmo8//thGjBhhCQkJ1rlzZ/vZz37m3HZ+3FtvvWUDBgywuLg4u+CCC2z+/PlNHuvxxx+37Oxsi4uLs8GDB9s777wT8VpOp8+33nrLJDW77d69u931ebJem/P1INSeej1Vn8XFxXb++edbYmKi5eXl2dtvvx02/o9//MPGjBljHTp0sOTkZLv55pvt4MGDYTWbN2+2K664wrxer3Xr1s1KSkqaPM7ixYvtwgsvtLi4OOvXr19YADE7dlvu9OnTLSMjw7xerw0bNqxVfzat7fWjjz6yUaNGWXp6uiUmJtrFF1/c5Hb69tBrMBi0KVOmWHZ2tsXHx9sFF1xgv/jFL8Iu/K2Z/1zodffu3S3+XDrxO8G+67225s/065oLQt/1Ps8Uj1kLXz0JAABwjuMzQgAAwLUIQgAAwLUIQgAAwLUIQgAAwLUIQgAAwLUIQgAAwLUIQgAAwLUIQgAAwLUIQgAAwLUIQgAAwLUIQgAAwLUIQgAAwLX+PymzmMh1fqUyAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, reclassify after the trimming\n",
      "There are 3 HDs still with both discontinuity problems\n",
      "Additionally, 0 of the originally discontig HDs are now contig but still have an enclave\n"
     ]
    }
   ],
   "source": [
    "print(\"Before addressing enclaves, let's triage the discontinuous HDs\")\n",
    "#this is the CANTRIM code####\n",
    "\n",
    "#for t in sPgenerator:\n",
    "#    isContig, smallP = isContiguous(filledHDvtdList[t],unitNbrs)\n",
    "#    if isContig:\n",
    "#        print(\"oops!\",t)\n",
    "maxNudgeDownPop = int(0.02 * aDP)\n",
    "minPostFixPop = int(0.95 * aDP)\n",
    "print(\"Now work on dropping smallish disconnected pieces that would keep us above\",minPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "print(\"we'll also trim any HD with total islands' pop <=\",maxNudgeDownPop)\n",
    "nOrigIslands = [0 for t in range(nHDs)]\n",
    "totalIslandPop = [0. for t in range(nHDs)]\n",
    "tryToTrim, canTrim, cantTrim = list(), list(), list()\n",
    "for jj, t in enumerate(sPgenerator):\n",
    "    if jj%100 == 0:\n",
    "        print(\"working on HD\",t)\n",
    "    currList, shedList, shedPop = HDunitList[t].copy(), list(),  0.\n",
    "    done,newList = isContiguous(currList,unitNbrs)\n",
    "    if not done:\n",
    "        tryToTrim.append(t)\n",
    "        while not done:\n",
    "            shedList += newList\n",
    "            shedPop += np.sum( [unitPop[u] for u in newList] )\n",
    "            currList = list (  set(currList).difference(set(newList ))  )\n",
    "            done, newList = isContiguous(currList, unitNbrs)\n",
    "            nOrigIslands[t] +=1\n",
    "            \n",
    "        totalIslandPop[t] = shedPop            \n",
    "        if shedPop <= maxNudgeDownPop or HDvPop[t] - shedPop >= minPostFixPop:\n",
    "            canTrim.append(t)\n",
    "            HDvPop[t] -= shedPop\n",
    "            HDunitList[t] = list (set(HDunitList[t]).difference(set(shedList)) )\n",
    "        else:\n",
    "            cantTrim.append(t)\n",
    "print(\"Out of\",len(sPgenerator),\"discontig HDs\",len(tryToTrim),\"had discontig HDs.\")\n",
    "print(\"Of these,\",len(canTrim),\"won't be under\",minPostFixPop,\"after all minor discontigys were shed, while\",\n",
    "      len(cantTrim),\"would be too underpopped if we trimmed the discontig pieces\")\n",
    "plt.scatter([HDvPop[t] + totalIslandPop[t] for t in canTrim],[HDvPop[t] for t in canTrim])\n",
    "plt.scatter([HDvPop[t]                     for t in cantTrim],[HDvPop[t] for t in cantTrim],marker=\"x\")\n",
    "print(\"here is adjusted pop by original pop for those we trimmed and those we didn't (x)\")\n",
    "plt.plot([0.9*aDP, 1.1*aDP],[aDP, aDP], ls=\"--\")\n",
    "plt.show()\n",
    "\n",
    "print(\"Now, reclassify after the trimming\")\n",
    "badDiscoList, stillHasEnclave = list(), list()\n",
    "for t in sPgenerator:    \n",
    "    unbroken, noEnclave, __, ____ = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if not unbroken:\n",
    "        badDiscoList.append(t)  #will do a major triage on these later\n",
    "    if unbroken and not noEnclave:\n",
    "        stillHasEnclave.append(t)\n",
    "print(\"There are\",len(badDiscoList),\"HDs still with both discontinuity problems\")\n",
    "print(\"Additionally,\",len(stillHasEnclave),\"of the originally discontig HDs are now contig but still have an enclave\")\n",
    "eLgenerator += stillHasEnclave"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "39d37c15-759f-462c-b503-047b6b5e1554",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "90 49 3\n",
      "{7168, 1537, 3074, 1549, 3089, 3091, 1556, 1557, 3094, 1559, 1561, 3100, 28, 1566, 1571, 36, 1573, 1576, 1581, 50, 1592, 60, 63, 3136, 3137, 1618, 1620, 3669, 87, 3672, 3673, 3679, 1121, 103, 1644, 115, 3702, 124, 1674, 1676, 7323, 3764, 3765, 3767, 3770, 4282, 3772, 3774, 3778, 2764, 730, 4318, 2270, 2273, 2793, 2283, 2284, 1776, 753, 2291, 757, 758, 759, 760, 763, 768, 769, 2305, 7425, 772, 773, 774, 2312, 2319, 3859, 3351, 2328, 3864, 1306, 3357, 2852, 811, 2349, 2360, 2873, 3399, 2380, 2388, 2903, 7003, 349, 7010, 2917, 7023, 7028, 1404, 2944, 1411, 7047, 1419, 3468, 7052, 1428, 1431, 1433, 3998, 1442, 1445, 426, 1974, 955, 1468, 7100, 1470, 7101, 1473, 3523, 1476, 970, 7117, 975, 7121, 2527, 994, 995, 1507, 2535, 3048, 3049, 7146, 3563, 1515, 1517, 3566, 4091, 3070}\n"
     ]
    }
   ],
   "source": [
    "print(len(discontigOnly),len(bothProblems), len(badDiscoList))\n",
    "print((set(discontigOnly).union(set(bothProblems)) ) .difference(set(badDiscoList)) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "2e54bac4-c327-473d-bbb4-257486bddd20",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\n",
      "Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\n",
      "This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is 3\n",
      "swell-generating HD 766 our 1 th HD we must regrow out of 3 0 sec elapsed\n"
     ]
    }
   ],
   "source": [
    "#THIS IS THE MUSTSPAWN code block\n",
    "print(\"And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\")\n",
    "print(\"Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\")\n",
    "print(\"This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is\",len(badDiscoList))\n",
    "avgDiam = MAP.area**0.5 / float(nDistricts)\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(badDiscoList):\n",
    "    if i%10 == 0:\n",
    "        print(\"swell-generating HD\",t,\"our\",i+1,\"th HD we must regrow out of\",len(badDiscoList),int(time.time()-startTime),\"sec elapsed\" )\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = [starterU]  #we used getContigFromStarter(starterU, HDvtdList[t], unitNbrs) in above code block\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList = contigUs.copy(), list()\n",
    "    adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (0.2*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] for uu in adjoiners ]\n",
    "    stillGoing = True\n",
    "    \n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((0.1*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "                                                                        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigUs + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "b78199da-ac7c-4cfb-ac0b-26363a8a8c56",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prev avg use and its sd are 0.99476 0.19181\n",
      "defining and displaying current unit use after most recent manipulations; compare to original farther above.\n",
      "current avg use and its sd are 0.99476 0.19181\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"prev avg use and its sd are\",r5(currAvg),r5(currSD) )\n",
    "print(\"defining and displaying current unit use after most recent manipulations; compare to original farther above.\")\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += nDistricts * HDweight[t]\n",
    "activeUnitDistro, activeUnitWeights = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > 0.1:\n",
    "        activeUnitDistro.append(unitUse[u])\n",
    "        activeUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(activeUnitDistro, weights=activeUnitWeights, bins = 20, histtype = \"step\")\n",
    "#plt.show()\n",
    "currAvg, currSD = getWeightedAvgAndSD(activeUnitDistro, activeUnitWeights)\n",
    "print(\"current avg use and its sd are\",r5(currAvg),r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "a2242181-3a07-40b7-ae56-bbe47bd2dc79",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(not-so-)final check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 501 time is now 9 sec\n",
      "working on HD 1001 time is now 22 sec\n",
      "working on HD 1501 time is now 29 sec\n",
      "working on HD 2001 time is now 48 sec\n",
      "working on HD 2501 time is now 75 sec\n",
      "working on HD 3001 time is now 89 sec\n",
      "working on HD 3502 time is now 103 sec\n",
      "working on HD 4002 time is now 131 sec\n",
      "working on HD 4502 time is now 143 sec\n",
      "working on HD 5002 time is now 154 sec\n",
      "working on HD 5502 time is now 164 sec\n",
      "working on HD 6002 time is now 174 sec\n",
      "working on HD 6502 time is now 183 sec\n",
      "working on HD 7002 time is now 192 sec\n",
      "out of 7432 total HDs, there were 7400 0 32 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 201 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"(not-so-)final check -- any more disco's ?\")\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "623fb818-67d9-458d-b854-4c70dfa449ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's fill in all enclaves that won't put us over 809054 district pop vs 770528 target\n",
      "working on enclave-y HD 426 . We have evaluated 0 of 6590 enclavy HDs.Time is now 0\n",
      "Out of 6590 HDs with enclaves 32 had enclaves.\n",
      "Of these, 25 wouldn't be over 809054 if all enclaves filled, while 7 were too populous\n",
      "here is enclave pop by final pop for those we filled\n"
     ]
    },
    {
     "data": {
      "image/png": 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oUlNTjdPpNOPGjTPV1dVB29m/f7+ZPHmy6d27t3G5XOaGG24wTU1NQTU7duwwY8aMMU6n0wwYMMAsW7asU736fD4jyfh8vhMfMAAAOKlC/f4O+zw50YR5cgAAiD4RmycHAACgOyDkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAWyLkAAAAW+qSkPPll19qypQp6tevnxITEzVixAi999571npjjO69916lpaUpMTFReXl5+uijj4K20dDQoMLCQrlcLiUlJWnatGn65ptvgmref/99XXrppUpISFBGRoaWL1/eFcMBAABRKOwh5+uvv9Yll1yiHj166LXXXlNVVZX+/Oc/q2/fvlbN8uXL9cgjj2jlypUqLS1Vr169lJ+fr+bmZqumsLBQu3btUnFxsdavX6+tW7fq5ptvttb7/X6NHz9egwYNUnl5uR566CEtXrxYq1atCveQAABANDJhNm/ePDNmzJgO1wcCAePxeMxDDz1kLWtsbDROp9M899xzxhhjqqqqjCSzbds2q+a1114zDofDfPnll8YYY5544gnTt29f09LSEvTeQ4cODblXn89nJBmfzxfyawAAQGSF+v0d9iM5r776qkaNGqVf//rXSklJ0QUXXKAnn3zSWl9TUyOv16u8vDxrmdvtVk5OjkpKSiRJJSUlSkpK0qhRo6yavLw8xcTEqLS01KoZO3as4uPjrZr8/HxVV1fr66+/bre3lpYW+f3+oAcAALCnsIecTz/9VCtWrNBZZ52l119/XTNmzNDtt9+up59+WpLk9XolSampqUGvS01NtdZ5vV6lpKQErY+Li1NycnJQTXvbOPI9jrZ06VK53W7rkZGR8SNHCwAAuquwh5xAIKCRI0fqgQce0AUXXKCbb75Z06dP18qVK8P9Vp22YMEC+Xw+67F3795ItwQAALpI2ENOWlqasrKygpadc8452rNnjyTJ4/FIkurq6oJq6urqrHUej0f19fVB6w8dOqSGhoagmva2ceR7HM3pdMrlcgU9AACAPYU95FxyySWqrq4OWvbhhx9q0KBBkqTMzEx5PB5t2rTJWu/3+1VaWqrc3FxJUm5urhobG1VeXm7VbN68WYFAQDk5OVbN1q1bdfDgQaumuLhYQ4cODbqSCwAAnJrCHnLuuOMOvfvuu3rggQf08ccf69lnn9WqVas0c+ZMSZLD4dDs2bN133336dVXX9XOnTt13XXXKT09XVdccYWkw0d+CgoKNH36dJWVlentt9/WrbfeqkmTJik9PV2SdM011yg+Pl7Tpk3Trl279MILL+jhhx/WnDlzwj0kAAAQjbri0q5169aZ7Oxs43Q6zbBhw8yqVauC1gcCAbNw4UKTmppqnE6nGTdunKmurg6q2b9/v5k8ebLp3bu3cblc5oYbbjBNTU1BNTt27DBjxowxTqfTDBgwwCxbtqxTfXIJOQAA0SfU72+HMcZEOmhFit/vl9vtls/n4/c5AABEiVC/v7l3FQAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsKUuDznLli2Tw+HQ7NmzrWXNzc2aOXOm+vXrp969e+uqq65SXV1d0Ov27NmjCRMmqGfPnkpJSdHcuXN16NChoJotW7Zo5MiRcjqdOvPMM7V69equHg4AAIgSXRpytm3bpr/+9a8699xzg5bfcccdWrdundauXas333xT+/bt05VXXmmtb21t1YQJE3TgwAG98847evrpp7V69Wrde++9Vk1NTY0mTJign/zkJ6qoqNDs2bN100036fXXX+/KIQEAgGhhukhTU5M566yzTHFxsbnsssvMrFmzjDHGNDY2mh49epi1a9datbt37zaSTElJiTHGmI0bN5qYmBjj9XqtmhUrVhiXy2VaWlqMMcbcfffdZvjw4UHvefXVV5v8/PyQe/T5fEaS8fl8JzpMAABwkoX6/d1lR3JmzpypCRMmKC8vL2h5eXm5Dh48GLR82LBhGjhwoEpKSiRJJSUlGjFihFJTU62a/Px8+f1+7dq1y6o5etv5+fnWNtrT0tIiv98f9AAAAPYU1xUbff7557V9+3Zt27btmHVer1fx8fFKSkoKWp6amiqv12vVHBlw2ta3rTtejd/v1/fff6/ExMRj3nvp0qVasmTJCY8LAABEj7Afydm7d69mzZqlZ555RgkJCeHe/I+yYMEC+Xw+67F3795ItwQAALpI2ENOeXm56uvrNXLkSMXFxSkuLk5vvvmmHnnkEcXFxSk1NVUHDhxQY2Nj0Ovq6urk8XgkSR6P55irrdqe/1CNy+Vq9yiOJDmdTrlcrqAHAACwp7CHnHHjxmnnzp2qqKiwHqNGjVJhYaH1zz169NCmTZus11RXV2vPnj3Kzc2VJOXm5mrnzp2qr6+3aoqLi+VyuZSVlWXVHLmNtpq2bQAAgFNb2H+T06dPH2VnZwct69Wrl/r162ctnzZtmubMmaPk5GS5XC7ddtttys3N1UUXXSRJGj9+vLKysnTttddq+fLl8nq9+v3vf6+ZM2fK6XRKkm655RY99thjuvvuu3XjjTdq8+bNevHFF7Vhw4ZwDwkAAEShLvnh8Q/5r//6L8XExOiqq65SS0uL8vPz9cQTT1jrY2NjtX79es2YMUO5ubnq1auXpk6dqj/84Q9WTWZmpjZs2KA77rhDDz/8sE4//XT993//t/Lz8yMxJAAA0M04jDEm0k1Eit/vl9vtls/n4/c5AABEiVC/v7l3FQAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsCVCDgAAsKW4SDcAILq1BozKahpU39SslD4JGp2ZrNgYR6TbAgBCDoATV1RZqyXrqlTra7aWpbkTtGhilgqy0yLYGQBwugrACSqqrNWMNduDAo4keX3NmrFmu4oqayPUGQAcRsgB0GmtAaMl66pk2lnXtmzJuiq1BtqrAICTg5ADoNPKahqOOYJzJCOp1tesspqGk9cUAByFkAOg0+qbOg44J1IHAF2BkAOg01L6JIS1DgC6AiEHQKeNzkxWmjtBHV0o7tDhq6xGZyafzLYAIAghB0CnxcY4tGhiliQdE3Tani+amMV8OQAiipAD4IQUZKdpxZSR8riDT0l53AlaMWWkLefJaQ0YlXyyX69UfKmST/Zz9RjQzTEZIIATVpCdpp9meU6JGY+Z+BCIPg5jzCn7vyJ+v19ut1s+n08ulyvS7QDoptomPjz6P5ZtUc6uR66A7irU729OVwHAcTDxIRC9CDkAcBxMfAhEL0IOABwHEx8C0YuQAwDHwcSHQPQi5ADAcTDxIRC9wh5yli5dqn/7t39Tnz59lJKSoiuuuELV1dVBNc3NzZo5c6b69eun3r1766qrrlJdXV1QzZ49ezRhwgT17NlTKSkpmjt3rg4dOhRUs2XLFo0cOVJOp1NnnnmmVq9eHe7hADjFMfEhEL3CHnLefPNNzZw5U++++66Ki4t18OBBjR8/Xt9++61Vc8cdd2jdunVau3at3nzzTe3bt09XXnmltb61tVUTJkzQgQMH9M477+jpp5/W6tWrde+991o1NTU1mjBhgn7yk5+ooqJCs2fP1k033aTXX3893EMCcIo7FSc+BOygy+fJ+eqrr5SSkqI333xTY8eOlc/n02mnnaZnn31W//Ef/yFJ+uCDD3TOOeeopKREF110kV577TX9/Oc/1759+5SamipJWrlypebNm6evvvpK8fHxmjdvnjZs2KDKykrrvSZNmqTGxkYVFRWF1Bvz5ADojNaAOSUmPgS6u24zT47P55MkJScfPl9dXl6ugwcPKi8vz6oZNmyYBg4cqJKSEklSSUmJRowYYQUcScrPz5ff79euXbusmiO30VbTto32tLS0yO/3Bz0AIFSxMQ7lDumnX54/QLlD+hFwgG6uS0NOIBDQ7Nmzdckllyg7O1uS5PV6FR8fr6SkpKDa1NRUeb1eq+bIgNO2vm3d8Wr8fr++//77dvtZunSp3G639cjIyPjRYwQAAN1Tl4acmTNnqrKyUs8//3xXvk3IFixYIJ/PZz327t0b6ZYAAEAX6bIbdN56661av369tm7dqtNPP91a7vF4dODAATU2NgYdzamrq5PH47FqysrKgrbXdvXVkTVHX5FVV1cnl8ulxMTEdntyOp1yOp0/emwAgPDi907oCmEPOcYY3XbbbXrppZe0ZcsWZWZmBq2/8MIL1aNHD23atElXXXWVJKm6ulp79uxRbm6uJCk3N1f333+/6uvrlZKSIkkqLi6Wy+VSVlaWVbNx48agbRcXF1vbAABEB+7wjq4S9qurfvvb3+rZZ5/VK6+8oqFDh1rL3W63dYRlxowZ2rhxo1avXi2Xy6XbbrtNkvTOO+9IOnwJ+fnnn6/09HQtX75cXq9X1157rW666SY98MADkg5fQp6dna2ZM2fqxhtv1ObNm3X77bdrw4YNys/PD6lXrq4CgMjiDu84EaF+f4c95Dgc7R9efOqpp3T99ddLOjwZ4J133qnnnntOLS0tys/P1xNPPGGdipKkzz//XDNmzNCWLVvUq1cvTZ06VcuWLVNc3P8dfNqyZYvuuOMOVVVV6fTTT9fChQut9wgFIQcAIqc1YDTmwc0d3gDVocNzEb017//j1BWCRCzkRBNCDgBETskn+zX5yXd/sO656Rcpd0i/k9ARokW3mScHAID2cId3dDVCDgAgIrjDO7oaIQcAEBHc4R1djZADAIgI7vCOrkbIAQBEDHd4R1fqshmPAQAIRUF2mn6a5WHGY4QdIQcAEHFtd3gHwonTVQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJYIOQAAwJbiIt0AAAAdaQ0YldU0qL6pWSl9EjQ6M1mxMY5It4UoQcgBAHRLRZW1WrKuSrW+ZmtZmjtBiyZmqSA7LYKdIVpwugoA0O0UVdZqxprtQQFHkry+Zs1Ys11FlbUR6gzRhJADAOhWWgNGS9ZVybSzrm3ZknVVag20VwH8H0JOmLUGjEo+2a9XKr5UySf72QkBoJPKahqOOYJzJCOp1tesspqGk9cUohK/yQkjzh8DwI9X39RxwDmROpy6OJITJpw/BoDwSOmTENY6nLoIOWHA+WMACJ/RmclKcyeoowvFHTp8lHx0ZvLJbAtRiJATBpw/BoDwiY1xaNHELEk6Jui0PV80MYv5cvCDCDlhwPljAAivguw0rZgyUh538CkpjztBK6aM5HeOCAk/PA4Dzh8DQPgVZKfpp1keZjzGCSPkhEHb+WOvr7nd3+U4dPj/Pjh/DACdExvjUO6QfpFuA1GK01VhwPljAAC6H0JOmHD+GACA7oXTVWHE+WMAALoPQk6Ycf4YAIDugdNVAADAlgg5AADAlgg5AADAlgg5AADAlgg5AADAlgg5AADAlriEHADQLbQGjN79ZL9KPv1fSYen4/i3M5K17bMGlXyyX5JR7uD+umhIvy6df+zIPgJGSkrsocbvDmqf73ulJyXqkjP766LBh3toDZiQ5kYLtS7aHTgU0Oq3a/T6Lq+aWg7qnFSX/mNUhi4+s39ExuswxrR3u6Wo8fjjj+uhhx6S1+vVeeedp0cffVSjR48O6bV+v19ut1s+n08ul6uLOwUAdKSoslbz/7FTjd8dDFrukI65J2BSzx5aduWILplJvqM+jpbUs4euHnW6Xt1Rq1pfs7U8zZ2gRROzgnorqqzVknVVP1gX7ZZurNKqrTXt3sOxZ3ys/vKf54VtvKF+f0f16aoXXnhBc+bM0aJFi7R9+3add955ys/PV319faRbAwCEqKiyVres2d5usGjvC7Pxu4O6Zc12FVXWnrQ+2uvhr1trgoKLJHl9zZpxRG9FlbWasWb7D9ZFu6Ubq/TXDgKOJH13oLVLPrMfEtUh5y9/+YumT5+uG264QVlZWVq5cqV69uypv//975FuDQAQgtaA0eJXd53Qaxe/ukutgfCcjPgxfRyprZsl66p04FBAS9ZVtfvFf2RduMYQKQcOBfTk/9SEVBvOzywUURtyDhw4oPLycuXl5VnLYmJilJeXp5KSknZf09LSIr/fH/QAAEROWU2DvP6WE3qt19+ispqGiPdxNCOp1tes/1fy2TFHcNqrC9cYIuX/lXymUHNLOD+zUERtyPnf//1ftba2KjU1NWh5amqqvF5vu69ZunSp3G639cjIyDgZrQIAOlDf1HEIOBmvD/d2jvR5w3cRe++TKdRxtjmZ443akHMiFixYIJ/PZz327t0b6ZYA4JSW0ichoq8P93aONCi5Z8Te+2QKdZxtTuZ4ozbk9O/fX7GxsaqrqwtaXldXJ4/H0+5rnE6nXC5X0AMAEDmjM5PlcTlP6LUel1OjM5Mj3sfRHDp89dS1uWcozZ2gji6cbqsL1xgi5drcMxTq1eHh/MxCEbUhJz4+XhdeeKE2bdpkLQsEAtq0aZNyc3Mj2BkAIFSxMQ4t/sXwE3rt4l8MD9vcKz+mjyO1dbNoYpbi42K0aGJW0PL26qJ9vpz4uBhNvzQzpNpwfmahiNqQI0lz5szRk08+qaefflq7d+/WjBkz9O233+qGG26IdGsAgBAVZKdp5ZSRSurZ45h17X0dJvXsoZVTRoZ9jpnj9XG0vj176DdjM5XmDj714nEnaMURvRVkp2nFlJHy/EBdtFvwsyz9Zmxmh0etesXHdsln9kOifjLAxx57zJoM8Pzzz9cjjzyinJyckF7LZIAA0H0w43H0O1kzHof6/R31IefHIOQAABB9TokZjwEAADpCyAEAALZEyAEAALZEyAEAALZEyAEAALZEyAEAALZEyAEAALZEyAEAALZEyAEAALYUF+kGIqltsme/3x/hTgAAQKjavrd/6KYNp3TIaWpqkiRlZGREuBMAANBZTU1NcrvdHa4/pe9dFQgEtG/fPvXp00cOR3TeKM3v9ysjI0N79+615f23GF/0s/sYGV90Y3zRyRijpqYmpaenKyam41/enNJHcmJiYnT66adHuo2wcLlctvoX+GiML/rZfYyML7oxvuhzvCM4bfjhMQAAsCVCDgAAsCVCTpRzOp1atGiRnE5npFvpEowv+tl9jIwvujE+ezulf3gMAADsiyM5AADAlgg5AADAlgg5AADAlgg5AADAlgg5J9GyZcvkcDg0e/Zsa9m///u/y+FwBD1uueWWoNft2bNHEyZMUM+ePZWSkqK5c+fq0KFDQTVbtmzRyJEj5XQ6deaZZ2r16tXHvP/jjz+uM844QwkJCcrJyVFZWVnQ+ubmZs2cOVP9+vVT7969ddVVV6muru64Y1q8ePEx/Q8bNqxT24zm8UX75ydJX375paZMmaJ+/fopMTFRI0aM0HvvvWetN8bo3nvvVVpamhITE5WXl6ePPvooaBsNDQ0qLCyUy+VSUlKSpk2bpm+++Sao5v3339ell16qhIQEZWRkaPny5cf0snbtWg0bNkwJCQkaMWKENm7cGLQ+lF46O77rr7/+mM+woKAgasZ3xhlnHNO/w+HQzJkzJUX/PvhD44v2fbC1tVULFy5UZmamEhMTNWTIEP3xj38MuidTtO+DEWVwUpSVlZkzzjjDnHvuuWbWrFnW8ssuu8xMnz7d1NbWWg+fz2etP3TokMnOzjZ5eXnmX//6l9m4caPp37+/WbBggVXz6aefmp49e5o5c+aYqqoq8+ijj5rY2FhTVFRk1Tz//PMmPj7e/P3vfze7du0y06dPN0lJSaaurs6queWWW0xGRobZtGmTee+998xFF11kLr744uOOa9GiRWb48OFB/X/11VchbzPaxxftn19DQ4MZNGiQuf76601paan59NNPzeuvv24+/vhjq2bZsmXG7Xabl19+2ezYscP84he/MJmZmeb777+3agoKCsx5551n3n33XfM///M/5swzzzSTJ0+21vt8PpOammoKCwtNZWWlee6550xiYqL561//atW8/fbbJjY21ixfvtxUVVWZ3//+96ZHjx5m586dneqls+ObOnWqKSgoCPoMGxoagrbTXcdnjDH19fVBvRcXFxtJ5o033jDGRP8++EPji/Z98P777zf9+vUz69evNzU1NWbt2rWmd+/e5uGHH7ZqonkfjDRCzknQ1NRkzjrrLFNcXGwuu+yyY0LOkc+PtnHjRhMTE2O8Xq+1bMWKFcblcpmWlhZjjDF33323GT58eNDrrr76apOfn289Hz16tJk5c6b1vLW11aSnp5ulS5caY4xpbGw0PXr0MGvXrrVqdu/ebSSZkpKSDvtbtGiROe+889pdF8o2o3l8xkT/5zdv3jwzZsyYDtcHAgHj8XjMQw89ZC1rbGw0TqfTPPfcc8YYY6qqqowks23bNqvmtddeMw6Hw3z55ZfGGGOeeOIJ07dvX2vMbe89dOhQ6/l//ud/mgkTJgS9f05OjvnNb34Tci+dHZ8xh0POL3/5yw7Xd+fxtWfWrFlmyJAhJhAI2GIfPN74jIn+fXDChAnmxhtvDFp25ZVXmsLCQmNM9O+DkcbpqpNg5syZmjBhgvLy8tpd/8wzz6h///7Kzs7WggUL9N1331nrSkpKNGLECKWmplrL8vPz5ff7tWvXLqvm6G3n5+erpKREknTgwAGVl5cH1cTExCgvL8+qKS8v18GDB4Nqhg0bpoEDB1o1Hfnoo4+Unp6uwYMHq7CwUHv27Al5m9E8vjbR/Pm9+uqrGjVqlH79618rJSVFF1xwgZ588klrfU1Njbxeb9B23W63cnJygj7DpKQkjRo1yqrJy8tTTEyMSktLrZqxY8cqPj4+aIzV1dX6+uuvQ/o7hNJLZ8fXZsuWLUpJSdHQoUM1Y8YM7d+/31rXncd3tAMHDmjNmjW68cYb5XA4bLMPdjS+NtG8D1588cXatGmTPvzwQ0nSjh079NZbb+nyyy+XFP37YKSd0jfoPBmef/55bd++Xdu2bWt3/TXXXKNBgwYpPT1d77//vubNm6fq6mr94x//kCR5vd6gnVOS9dzr9R63xu/36/vvv9fXX3+t1tbWdms++OADaxvx8fFKSko6pqbtfdqTk5Oj1atXa+jQoaqtrdWSJUt06aWXqrKyMqRtRvP4+vTpE/Wf36effqoVK1Zozpw5+t3vfqdt27bp9ttvV3x8vKZOnWq9tr33PrL/lJSUoPVxcXFKTk4OqsnMzOzw79C3b98O/w5HbuOHeuns+CSpoKBAV155pTIzM/XJJ5/od7/7nS6//HKVlJQoNja2W4/vaC+//LIaGxt1/fXXW9uM9n3weOOTov+/ofPnz5ff79ewYcMUGxur1tZW3X///SosLAzqMVr3wUgj5HShvXv3atasWSouLlZCQkK7NTfffLP1zyNGjFBaWprGjRunTz75REOGDDlZrZ6wtv/bkKRzzz1XOTk5GjRokF588UUlJiZGsLPwON74pk2bFvWfXyAQ0KhRo/TAAw9Iki644AJVVlZq5cqVVgiIZqGMb9KkSVb9iBEjdO6552rIkCHasmWLxo0bF5G+T9Tf/vY3XX755UpPT490K12ivfFF+z744osv6plnntGzzz6r4cOHq6KiQrNnz1Z6erot9sFI43RVFyovL1d9fb1GjhypuLg4xcXF6c0339QjjzyiuLg4tba2HvOanJwcSdLHH38sSfJ4PMf8Or/tucfjOW6Ny+VSYmKi+vfvr9jY2HZrjtzGgQMH1NjY2GFNKJKSknT22Wfr448/Dmmb0Ty+9kTb55eWlqasrKygZeecc451Sq7ttT/03vX19UHrDx06pIaGhrB8zkeu/6FeOju+9gwePFj9+/cP+gy76/iO9Pnnn+uf//ynbrrpJmuZnfbB9sbXnmjbB+fOnav58+dr0qRJGjFihK699lrdcccdWrp0aVCP0boPRhohpwuNGzdOO3fuVEVFhfUYNWqUCgsLVVFRodjY2GNeU1FRIenwf5wlKTc3Vzt37gz6F7i4uFgul8v6j3dubq42bdoUtJ3i4mLl5uZKkuLj43XhhRcG1QQCAW3atMmqufDCC9WjR4+gmurqau3Zs8eqCcU333yjTz75RGlpaSFtM5rH155o+/wuueQSVVdXBy378MMPNWjQIElSZmamPB5P0Hb9fr9KS0uDPsPGxkaVl5dbNZs3b1YgELC+cHJzc7V161YdPHgwaIxDhw5V3759Q/o7hNJLZ8fXni+++EL79+8P+gy76/iO9NRTTyklJUUTJkywltlpH2xvfO2Jtn3wu+++U0xM8FdxbGysAoGApOjfByMu0r98PtUceSXAxx9/bP7whz+Y9957z9TU1JhXXnnFDB482IwdO9aqb7v8cfz48aaiosIUFRWZ0047rd3LH+fOnWt2795tHn/88XYvf3Q6nWb16tWmqqrK3HzzzSYpKSnoioNbbrnFDBw40GzevNm89957Jjc31+Tm5h53PHfeeafZsmWLqampMW+//bbJy8sz/fv3N/X19SFtM5rHZ4fPr6yszMTFxZn777/ffPTRR+aZZ54xPXv2NGvWrLFqli1bZpKSkswrr7xi3n//ffPLX/6y3ctXL7jgAlNaWmreeustc9ZZZwVdvtrY2GhSU1PNtddeayorK83zzz9vevbseczlq3FxceZPf/qT2b17t1m0aFG7l6/+UC+dGV9TU5O56667TElJiampqTH//Oc/zciRI81ZZ51lmpubu/342rS2tpqBAweaefPmHbMu2vfB443PDvvg1KlTzYABA6xLyP/xj3+Y/v37m7vvvtuqieZ9MNIIOSfZkSFnz549ZuzYsSY5Odk4nU5z5plnmrlz5wbN8WCMMZ999pm5/PLLTWJiounfv7+58847zcGDB4Nq3njjDXP++eeb+Ph4M3jwYPPUU08d896PPvqoGThwoImPjzejR4827777btD677//3vz2t781ffv2NT179jS/+tWvTG1t7XHHc/XVV5u0tDQTHx9vBgwYYK6++uqgOUhC2Wa0js8On58xxqxbt85kZ2cbp9Nphg0bZlatWhW0PhAImIULF5rU1FTjdDrNuHHjTHV1dVDN/v37zeTJk03v3r2Ny+UyN9xwg2lqagqq2bFjhxkzZoxxOp1mwIABZtmyZcf08uKLL5qzzz7bxMfHm+HDh5sNGzZ0upfOjO+7774z48ePN6eddprp0aOHGTRokJk+fXrQF1d3H58xxrz++utGUru10b4PHm98dtgH/X6/mTVrlhk4cKBJSEgwgwcPNvfcc0/Qpd7Rvg9GksOYI6ZVBAAAsAl+kwMAAGyJkAMAAGyJkAMAAGyJkAMAAGyJkAMAAGyJkAMAAGyJkAMAAGyJkAMAAGyJkAMAAGyJkAMAAGyJkAMAAGyJkAMAAGzp/we/N/7w8XkzMQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#OPTIONAL if still enclaves -- rerun the CANFILL CODE  #check if sum of enclave pops small enough to add\n",
    "maxNudgeUpPop = int(0.02 * aDP)\n",
    "maxPostFixPop = int(1.05 * aDP)\n",
    "print(\"Now, let's fill in all enclaves that won't put us over\",maxPostFixPop,\"district pop vs\",int(aDP),\"target\")\n",
    "nOrigEnclaves = [0 for t in range(nHDs)]\n",
    "totalEnclavePop = [0. for t in range(nHDs)]\n",
    "tryToFill, canFill, cantFill = list(), list(), list()\n",
    "startTime = time.time()  #takes about xx sec per HD triage\n",
    "        \n",
    "for iii, t in enumerate(enclaveOnly):  #internals + edgers):\n",
    "    if iii%100 == 0:\n",
    "        print(\"working on enclave-y HD\",t,\". We have evaluated\",iii,\"of\",len(enclaveOnly),\"enclavy HDs.Time is now\",int(time.time() - startTime) )\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and not noEnclave:  #\"and unbroken\" new 1/15 - discontig HDs will usually appear to have enclaves.  We'll fix these in later block\n",
    "        tryToFill.append(t)\n",
    "        enclaveLists = getEnclaveLists(HDunitList[t], unitNbrs)\n",
    "        nOrigEnclaves[t] = len(enclaveLists)\n",
    "        totalEnclavePop[t] = np.sum( [ [np.sum([unitPop[u] for u in eL])] for eL in enclaveLists ] ) \n",
    "        if HDvPop[t] + totalEnclavePop[t] <= maxPostFixPop or totalEnclavePop[t] < maxNudgeUpPop:\n",
    "            canFill.append(t)\n",
    "            for eL in enclaveLists:\n",
    "                HDunitList[t] += eL\n",
    "                HDvPop[t] += np.sum([unitPop[u] for u in eL])\n",
    "        else:\n",
    "            cantFill.append(t)\n",
    "print(\"Out of\",len(internals+edgers),\"HDs with enclaves\",len(tryToFill),\"had enclaves.\")\n",
    "print(\"Of these,\",len(canFill),\"wouldn't be over\",maxPostFixPop,\"if all enclaves filled, while\",len(cantFill),\"were too populous\")\n",
    "plt.scatter([HDvPop[t] for t in canFill],[totalEnclavePop[t] for t in canFill])\n",
    "print(\"here is enclave pop by final pop for those we filled\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "18f46c40-7f28-4714-962f-0b462ff97b8a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "final ??? check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 501 time is now 6 sec\n",
      "working on HD 1001 time is now 12 sec\n",
      "working on HD 1501 time is now 19 sec\n",
      "working on HD 2001 time is now 25 sec\n",
      "working on HD 2501 time is now 41 sec\n",
      "working on HD 3001 time is now 50 sec\n",
      "working on HD 3502 time is now 56 sec\n",
      "working on HD 4002 time is now 67 sec\n",
      "working on HD 4502 time is now 75 sec\n",
      "working on HD 5002 time is now 85 sec\n",
      "working on HD 5502 time is now 95 sec\n",
      "working on HD 6002 time is now 105 sec\n",
      "working on HD 6502 time is now 114 sec\n",
      "working on HD 7002 time is now 124 sec\n",
      "out of 7432 total HDs, there were 7425 0 7 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 130 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"final ??? check -- any more disco's ?\")  #OPTIONAL run again if we ran above block to fill minor enclaves\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "cc8531f7-fd1f-45eb-a97a-832b53a037d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "for stubborn states like WA we need to run HDswell again\n",
      "And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\n",
      "Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\n",
      "This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is 7\n",
      "swell-generating HD 2270 our 1 th HD we must regrow out of 7 0 sec elapsed\n"
     ]
    }
   ],
   "source": [
    "print(\"for stubborn states like\",STATE,\"we need to run HDswell again\")\n",
    "#THIS IS THE MUSTSPAWN code block\n",
    "print(\"And now, the major disco'd HDs (< 0.75 aDP in HDcP-contig portion and/or enclaves).  Redraw fully using HDswell\")\n",
    "print(\"Assuming we have run the previous canSwell block.  This block repeats the code, but starting from the home unit\")\n",
    "badDiscoList = enclaveOnly + discontigOnly + bothProblems\n",
    "print(\"This takes 1 - 1000 sec per HD :-( The total number of HDs to fix is\",len(badDiscoList))\n",
    "avgDiam = MAP.area**0.5 / float(nDistricts)\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(badDiscoList):\n",
    "    if i%10 == 0:\n",
    "        print(\"swell-generating HD\",t,\"our\",i+1,\"th HD we must regrow out of\",len(badDiscoList),int(time.time()-startTime),\"sec elapsed\" )\n",
    "    notInCluster = True\n",
    "    for jj, geo in enumerate(CCBgeom):  #swell in-corner HDs from the corner cluster\n",
    "        if geo.contains(hdCP[t]):\n",
    "            starterU = allUnits.index(jj+0.25)\n",
    "            notInCluster = False\n",
    "    if notInCluster:\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]  #starter = unit with centroid closest to the hd center\n",
    "    contigUs = [starterU]  #we used getContigFromStarter(starterU, HDvtdList[t], unitNbrs) in above code block\n",
    "    contigPop = np.sum( [ unitPop[u] for u in contigUs ] )\n",
    "    gap = aDP - contigPop\n",
    "    origGap = gap\n",
    "    currList, addedList = contigUs.copy(), list()\n",
    "    adjoiners = getAdjoiners(currList, unitNbrs)\n",
    "    nearHDlist = [uu for uu in adjoiners]  #bias toward underused, close to HD (and its center)\n",
    "    nearHDscore = [ (0.2*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] for uu in adjoiners ]\n",
    "    stillGoing = True\n",
    "    \n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd:\n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else: #we selected the best unit to add legally\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((0.1*(unitUse[uu] - 1.) ) + 0.5*(unitCP[uu].distance(HDpoly[t]) + \n",
    "                                                                        unitCP[uu].distance(hdCP[t])  )  / HDdiam[t] )\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    for u in list( set(HDunitList[t]).difference(set(contigUs)) ):\n",
    "        unitUse[u] -= HDweight[t] * nDistricts       \n",
    "    HDunitList[t] = contigUs + addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "de4d8af8-cc64-4215-9b95-f4c6a2bd03af",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "savedAgainUnitList = [HDunitList[t].copy() for t in range(nHDs)] #safekeeping    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "f4bb76c7-0ae0-40cb-9c6a-ee436dfc30c4",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDunitList = [savedAgainUnitList[t].copy() for t in range(nHDs)]  #restart"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "f3bcd6a8-40b6-4764-a0d1-6814e3286cb8",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking on our corner clusters and unit county usage\n",
      "usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\n",
      "1.45136     0     10876 0.5\n",
      "0.99814     1     12036 0.5\n",
      "1.09834     2     4422 0.5\n",
      "0.96998     7066     139080 0.25\n",
      "1.02467     7067     110132 0.25\n",
      "0.98627     7068     67024 0.25\n",
      "1.12141     7069     17788 0.25\n"
     ]
    }
   ],
   "source": [
    "print(\"checking on our corner clusters and unit county usage\")\n",
    "print(\"usage, unit no, unit pop, type (0.5 = unit county, 0.25 = cluster) ...\")\n",
    "for u in range(nUnits):\n",
    "    if int(allUnits[u]) != allUnits[u] :\n",
    "        print(r5(unitUse[u]),\"   \",u,\"   \",int(unitPop[u]), allUnits[u]%1 )\n",
    "# note for MN, option 3 here led to tight CCB unit usage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "id": "1e983c03-777a-4e81-bed0-34a620175f83",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "let's visualize over-used and underused units, < 0.75 or > 1.25\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here is the histogram of HD pops\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "minUnitUse, maxUnitUse = 0.75, 1.25\n",
    "print(\"let's visualize over-used and underused units, <\",minUnitUse,\"or >\",maxUnitUse)\n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minUnitUse:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(\"u\",unitCP[u])\n",
    "    if unitUse[u] > maxUnitUse:\n",
    "        plotPoly(unitGeom[u], 1.5)\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"and here is the histogram of HD pops\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist],bins = [0, 0.6*aDP, 0.7*aDP, 0.85*aDP, 0.9*aDP, 0.95*aDP,\n",
    "         0.98*aDP, aDP, 1.02*aDP, 1.05*aDP, 1.1*aDP, 1.15*aDP, 1.3*aDP, 1.5*aDP, 2.0*aDP])\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "id": "adf7ff07-eba3-4c4d-a9fc-e897962b2fac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "FINAL FINAL check -- any more disco's ?\n",
      "working on HD 0 time is now 0 sec\n",
      "working on HD 501 time is now 6 sec\n",
      "working on HD 1001 time is now 12 sec\n",
      "working on HD 1501 time is now 19 sec\n",
      "working on HD 2001 time is now 25 sec\n",
      "working on HD 2501 time is now 32 sec\n",
      "working on HD 3001 time is now 36 sec\n",
      "working on HD 3502 time is now 42 sec\n",
      "working on HD 4002 time is now 51 sec\n",
      "working on HD 4502 time is now 59 sec\n",
      "working on HD 5002 time is now 68 sec\n",
      "working on HD 5502 time is now 78 sec\n",
      "working on HD 6002 time is now 87 sec\n",
      "working on HD 6502 time is now 97 sec\n",
      "working on HD 7002 time is now 106 sec\n",
      "out of 7432 total HDs, there were 7432 0 0 0 HDs that were clean, discontig only, enclave-only, both problems after triage\n",
      "this took 112 seconds with maxLoop =  5\n"
     ]
    }
   ],
   "source": [
    "print(\"FINAL FINAL check -- any more disco's ?\")  #OPTIONAL run again if we ran above block to fill minor enclaves\n",
    "maxLOOP = 5  #can increase to avoid false enclave detection\n",
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()\n",
    "startTime = time.time()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%500 == 0:\n",
    "        print(\"working on HD\",t,\"time is now\",int(time.time() - startTime),\"sec\")\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs, maxLOOP)\n",
    "    if not noEnclave:\n",
    "        noEnclave, enclaveList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems after triage\")\n",
    "print(\"this took\",int(time.time() - startTime),\"seconds with maxLoop = \", maxLOOP)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "id": "9bc31b5a-992d-4a38-b9fe-3470b55e1e2e",
   "metadata": {},
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigButOffPopUnit.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f6150cac-2249-415b-a364-edf55dc441ea",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "114705bb-9640-45f1-9f25-030030efaa63",
   "metadata": {},
   "outputs": [],
   "source": [
    "#below here -- working on tightening use distro while squaring up pop"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "id": "5d7d8519-eb3d-4345-9ac6-ab888e61c348",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 0.99483 0.19131\n"
     ]
    }
   ],
   "source": [
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for t in popHDlist:\n",
    "    for u in latestHDlist[t]:\n",
    "        latestHDpop[t] += unitPop[u]\n",
    "        latestUnitUse[u] += nDistricts * HDweight[t]\n",
    "latestUnitWeights, latestUnitDistro = list(), list()\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "id": "b1971853-bda7-49a4-9f25-1bdfd5e75aa2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 0\n",
      "working on avg unit-to-HDcp dist for HD 801\n",
      "working on avg unit-to-HDcp dist for HD 1601\n",
      "working on avg unit-to-HDcp dist for HD 2401\n",
      "working on avg unit-to-HDcp dist for HD 3202\n",
      "working on avg unit-to-HDcp dist for HD 4002\n",
      "working on avg unit-to-HDcp dist for HD 4802\n",
      "working on avg unit-to-HDcp dist for HD 5602\n",
      "working on avg unit-to-HDcp dist for HD 6402\n",
      "working on avg unit-to-HDcp dist for HD 7202\n"
     ]
    }
   ],
   "source": [
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "f5b99900-614a-47df-b7de-5d59fffd6d3a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGNWmGMnLy1N0dLQCAwMVHx+vAwcOtOq4TZs2ycfHRxMnTmzL0wIAAC/kcowUFBQoMzNT2dnZOnjwoGJiYpScnKwzZ85c9bgTJ07oySef1JgxY9o8LAAA8D4ux8iKFSs0c+ZMTZ8+XUOGDFF+fr66deumNWvWtHhMY2OjHnzwQS1evFj9+vX7RQMDAADv4lKMNDQ0qLS0VElJST//AF9fJSUlqaSkpMXj/vKXvyg0NFQPP/xwq56nvr5eNTU1TR4AAMA7uRQjVVVVamxsVFhYWJPtYWFhstvtzR6zd+9erV69WqtWrWr18+Tk5Cg4ONj5iIqKcmVMAADgQdz6bpra2lpNnTpVq1atUkhISKuPmzdvnqqrq52PU6dOuXFKAABgkr8rO4eEhMjPz0+VlZVNtldWVio8PPyK/b/44gudOHFCqampzm0Oh+PHJ/b3V3l5ufr373/FcTabTTabzZXRAACAh3LpzEhAQIBiY2NVXFzs3OZwOFRcXKyEhIQr9r/99tt1+PBhlZWVOR+/+93vNG7cOJWVlXH5BQAAuHZmRJIyMzM1bdo0jRo1SnFxccrNzVVdXZ2mT58uSUpPT1dkZKRycnIUGBiooUOHNjm+Z8+eknTFdgAA0Dm5HCNpaWk6e/asFi1aJLvdrhEjRqioqMh5U+vJkyfl68sHuwIAgNbxsSzLMj3EtdTU1Cg4OFjV1dUKCgoyPQ7+R3RWoekR3ObE0hTTIwCAx2rt6zenMAAAgFHECAAAMIoYAQAARhEjAADAKGIEAAAYRYwAAACjiBEAAGAUMQIAAIwiRgAAgFHECAAAMIoYAQAARhEjAADAKGIEAAAY5W96AFzfvPkbeQEA1wdiBLiK1sTYiaUpHTAJAHgvLtMAAACjiBEAAGAUMQIAAIwiRgAAgFHECAAAMIoYAQAARhEjAADAKGIEAAAYRYwAAACjiBEAAGAUMQIAAIwiRgAAgFHECAAAMIoYAQAARhEjAADAKGIEAAAYRYwAAACjiBEAAGAUMQIAAIwiRgAAgFHECAAAMIoYAQAARhEjAADAKGIEAAAYRYwAAACjiBEAAGAUMQIAAIwiRgAAgFHECAAAMIoYAQAARhEjAADAKGIEAAAYRYwAAACjiBEAAGAUMQIAAIzyNz0AzInOKjQ9AgAAnBkBAABmESMAAMAoYgQAABhFjAAAAKOIEQAAYBQxAgAAjCJGAACAUcQIAAAwig89A36h1nx43ImlKR0wCQB4Js6MAAAAo9oUI3l5eYqOjlZgYKDi4+N14MCBFvddtWqVxowZoxtvvFE33nijkpKSrro/AADoXFyOkYKCAmVmZio7O1sHDx5UTEyMkpOTdebMmWb33717tyZPnqwPPvhAJSUlioqK0n333advvvnmFw8PAAA8n49lWZYrB8THx2v06NF67bXXJEkOh0NRUVF6/PHHlZWVdc3jGxsbdeONN+q1115Tenp6q56zpqZGwcHBqq6uVlBQkCvj4ir4oryOwz0jADqj1r5+u3RmpKGhQaWlpUpKSvr5B/j6KikpSSUlJa36GRcvXtSlS5fUq1evFvepr69XTU1NkwcAAPBOLsVIVVWVGhsbFRYW1mR7WFiY7HZ7q37GM888o969ezcJmv+Vk5Oj4OBg5yMqKsqVMQEAgAfp0HfTLF26VJs2bdLWrVsVGBjY4n7z5s1TdXW183Hq1KkOnBIAAHQklz5nJCQkRH5+fqqsrGyyvbKyUuHh4Vc9dtmyZVq6dKn+9a9/afjw4Vfd12azyWazuTIaAADwUC6dGQkICFBsbKyKi4ud2xwOh4qLi5WQkNDicS+99JKee+45FRUVadSoUW2fFgAAeB2XP4E1MzNT06ZN06hRoxQXF6fc3FzV1dVp+vTpkqT09HRFRkYqJydHkvTiiy9q0aJF2rBhg6Kjo533lnTv3l3du3dvx6UAAABP5HKMpKWl6ezZs1q0aJHsdrtGjBihoqIi502tJ0+elK/vzydcXn/9dTU0NOiBBx5o8nOys7P15z//+ZdNDwAAPJ7LnzNiAp8z4h58zkjH4XNGAHRGbvmcEQAAgPbGt/YCHYBv9gWAlnFmBAAAGEWMAAAAo4gRAABgFDECAACMIkYAAIBRvJsGuE7wjhsAnRVnRgAAgFGcGfFSfLoqAMBTcGYEAAAYxZkRwINwXwkAb8SZEQAAYBQxAgAAjOIyDeBluJQDwNNwZgQAABhFjAAAAKOIEQAAYBQxAgAAjCJGAACAUcQIAAAwihgBAABGESMAAMAoYgQAABhFjAAAAKP4OHgAzeJj5QF0FM6MAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEbx1l6gE2rN23YBoKMQIx6IFxIAgDfhMg0AADCKGAEAAEYRIwAAwCjuGbnOcD8IAKCz4cwIAAAwijMjHYizHgAAXIkYAeBWrYnwE0tTOmASANcrYgRAm3G2D0B74J4RAABgFDECAACMIkYAAIBRxAgAADCKG1jbCTfyAQDQNpwZAQAARnFmpBU46wEAgPsQIwBwneOD4+DtuEwDAACMIkYAAIBRXKYBYByXIYDOjRgB4BE6MliII6BjcZkGAAAYRYwAAACjOv1lGj5DBOhc+G8euP5wZgQAABjV6c+MAEBbtNcZFk+8Eba9bvDlRmH8hBgBAC/grS/snTn6OhNiBIDX8MT7QTxx5tbw1nXBPdoUI3l5eXr55Zdlt9sVExOjV199VXFxcS3uv3nzZi1cuFAnTpzQgAED9OKLL2rChAltHhoA4B5EBExwOUYKCgqUmZmp/Px8xcfHKzc3V8nJySovL1doaOgV++/fv1+TJ09WTk6Ofvvb32rDhg2aOHGiDh48qKFDh7bLIgAA10ZoXJ23XuryBD6WZVmuHBAfH6/Ro0frtddekyQ5HA5FRUXp8ccfV1ZW1hX7p6Wlqa6uTtu3b3duu+uuuzRixAjl5+e36jlramoUHBys6upqBQUFuTLuNfEfJwB4P0+8odYb7pdp7eu3S2dGGhoaVFpaqnnz5jm3+fr6KikpSSUlJc0eU1JSoszMzCbbkpOTtW3bthafp76+XvX19c5/rq6ulvTjotqbo/5iu/9MAMD15Za5m6+rn9OR3PHa6epzX+u8h0sxUlVVpcbGRoWFhTXZHhYWpqNHjzZ7jN1ub3Z/u93e4vPk5ORo8eLFV2yPiopyZVwAADq94FzTE0i1tbUKDg5u8c+vy3fTzJs3r8nZFIfDoXPnzummm26Sj4+PW5+7pqZGUVFROnXqVLtfEroesV7v19nWzHq9W2dbr+TZa7YsS7W1terdu/dV93MpRkJCQuTn56fKysom2ysrKxUeHt7sMeHh4S7tL0k2m002m63Jtp49e7oy6i8WFBTkcf/SfwnW6/0625pZr3frbOuVPHfNVzsj8hOXPg4+ICBAsbGxKi4udm5zOBwqLi5WQkJCs8ckJCQ02V+Sdu3a1eL+AACgc3H5Mk1mZqamTZumUaNGKS4uTrm5uaqrq9P06dMlSenp6YqMjFROTo4kac6cORo7dqyWL1+ulJQUbdq0SR9//LHeeOON9l0JAADwSC7HSFpams6ePatFixbJbrdrxIgRKioqct6kevLkSfn6/nzC5e6779aGDRu0YMECPfvssxowYIC2bdt23X7GiM1mU3Z29hWXibwV6/V+nW3NrNe7dbb1Sp1jzS5/zggAAEB7cumeEQAAgPZGjAAAAKOIEQAAYBQxAgAAjOqUMZKXl6fo6GgFBgYqPj5eBw4cuOr+58+fV0ZGhiIiImSz2TRw4EDt2LGjg6b95Vxdb25urgYNGqSuXbsqKipKc+fO1Q8//NBB0/4ye/bsUWpqqnr37i0fH5+rfgfST3bv3q0777xTNptNt912m9atW+f2OduLq+t95513NH78eN18880KCgpSQkKC3nvvvY4Zth205d/vT/bt2yd/f3+NGDHCbfO5Q1vWXF9fr/nz5+vWW2+VzWZTdHS01qxZ4/5h20Fb1rt+/XrFxMSoW7duioiI0EMPPaTvvvvO/cO2g5ycHI0ePVo9evRQaGioJk6cqPLy8mset3nzZt1+++0KDAzUsGHDPOo1qTmdLkYKCgqUmZmp7OxsHTx4UDExMUpOTtaZM2ea3b+hoUHjx4/XiRMntGXLFpWXl2vVqlWKjIzs4MnbxtX1btiwQVlZWcrOztaRI0e0evVqFRQU6Nlnn+3gydumrq5OMTExysvLa9X+X375pVJSUjRu3DiVlZXpiSee0IwZMzzmBdrV9e7Zs0fjx4/Xjh07VFpaqnHjxik1NVWHDh1y86Ttw9X1/uT8+fNKT0/Xr3/9azdN5j5tWfOkSZNUXFys1atXq7y8XBs3btSgQYPcOGX7cXW9+/btU3p6uh5++GF9+umn2rx5sw4cOKCZM2e6edL28eGHHyojI0MfffSRdu3apUuXLum+++5TXV1di8fs379fkydP1sMPP6xDhw5p4sSJmjhxoj755JMOnLydWZ1MXFyclZGR4fznxsZGq3fv3lZOTk6z+7/++utWv379rIaGho4asV25ut6MjAzr3nvvbbItMzPTSkxMdOuc7iDJ2rp161X3efrpp6077rijyba0tDQrOTnZjZO5R2vW25whQ4ZYixcvbv+B3MyV9aalpVkLFiywsrOzrZiYGLfO5U6tWfM///lPKzg42Pruu+86Zig3as16X375Zatfv35Ntr3yyitWZGSkGydznzNnzliSrA8//LDFfSZNmmSlpKQ02RYfH2/96U9/cvd4btOpzow0NDSotLRUSUlJzm2+vr5KSkpSSUlJs8e8++67SkhIUEZGhsLCwjR06FC98MILamxs7Kix26wt67377rtVWlrqvJRTUVGhHTt2aMKECR0yc0crKSlp8vcjScnJyS3+/Xgbh8Oh2tpa9erVy/QobrN27VpVVFQoOzvb9Cgd4t1339WoUaP00ksvKTIyUgMHDtSTTz6p77//3vRobpGQkKBTp05px44dsixLlZWV2rJli8f+zqqurpakq/436Y2/t67Lb+11l6qqKjU2Njo/LfYnYWFhOnr0aLPHVFRU6P3339eDDz6oHTt26Pjx43rsscd06dKl6/6XW1vWO2XKFFVVVemee+6RZVm6fPmyZs2a5TGXaVxlt9ub/fupqanR999/r65duxqarGMsW7ZMFy5c0KRJk0yP4haff/65srKy9O9//1v+/p3j111FRYX27t2rwMBAbd26VVVVVXrsscf03Xffae3atabHa3eJiYlav3690tLS9MMPP+jy5ctKTU11+VLe9cDhcOiJJ55QYmLiVT+lvKXfW3a73d0juk2nOjPSFg6HQ6GhoXrjjTcUGxurtLQ0zZ8/X/n5+aZHc4vdu3frhRde0MqVK3Xw4EG98847Kiws1HPPPWd6NLSzDRs2aPHixXr77bcVGhpqepx219jYqClTpmjx4sUaOHCg6XE6jMPhkI+Pj9avX6+4uDhNmDBBK1as0JtvvumVZ0c+++wzzZkzR4sWLVJpaamKiop04sQJzZo1y/RoLsvIyNAnn3yiTZs2mR6lw3WO/1X4f0JCQuTn56fKysom2ysrKxUeHt7sMREREerSpYv8/Pyc2wYPHiy73a6GhgYFBAS4deZfoi3rXbhwoaZOnaoZM2ZIkoYNG6a6ujo98sgjmj9/fpPvHfIG4eHhzf79BAUFefVZkU2bNmnGjBnavHnzFad7vUVtba0+/vhjHTp0SLNnz5b04wu1ZVny9/fXzp07de+99xqesv1FREQoMjKyyde2Dx48WJZl6euvv9aAAQMMTtf+cnJylJiYqKeeekqSNHz4cN1www0aM2aMlixZooiICMMTts7s2bO1fft27dmzR3369Lnqvi393mrp97on8K5XlmsICAhQbGysiouLndscDoeKi4uVkJDQ7DGJiYk6fvy4HA6Hc9uxY8cUERFxXYeI1Lb1Xrx48Yrg+CnELC/8GqOEhIQmfz+StGvXrhb/frzBxo0bNX36dG3cuFEpKSmmx3GboKAgHT58WGVlZc7HrFmzNGjQIJWVlSk+Pt70iG6RmJio06dP68KFC85tx44dk6+v7zVf5DyRp//OsixLs2fP1tatW/X++++rb9++1zzGK39vGbx51ohNmzZZNpvNWrdunfXZZ59ZjzzyiNWzZ0/LbrdblmVZU6dOtbKyspz7nzx50urRo4c1e/Zsq7y83Nq+fbsVGhpqLVmyxNQSXOLqerOzs60ePXpYGzdutCoqKqydO3da/fv3tyZNmmRqCS6pra21Dh06ZB06dMiSZK1YscI6dOiQ9dVXX1mWZVlZWVnW1KlTnftXVFRY3bp1s5566inryJEjVl5enuXn52cVFRWZWoJLXF3v+vXrLX9/fysvL8/69ttvnY/z58+bWoJLXF3v//LEd9O4uuba2lqrT58+1gMPPGB9+umn1ocffmgNGDDAmjFjhqkluMTV9a5du9by9/e3Vq5caX3xxRfW3r17rVGjRllxcXGmluCSRx991AoODrZ2797d5L/JixcvOvf539/T+/bts/z9/a1ly5ZZR44csbKzs60uXbpYhw8fNrGEdtHpYsSyLOvVV1+1brnlFisgIMCKi4uzPvroI+efjR071po2bVqT/ffv32/Fx8dbNpvN6tevn/X8889bly9f7uCp286V9V66dMn685//bPXv398KDAy0oqKirMcee8z673//2/GDt8EHH3xgSbri8dMap02bZo0dO/aKY0aMGGEFBARY/fr1s9auXdvhc7eVq+sdO3bsVfe/3rXl3+//zxNjpC1rPnLkiJWUlGR17drV6tOnj5WZmdnkxe161pb1vvLKK9aQIUOsrl27WhEREdaDDz5off311x0/fBs0t1ZJTX4PNfe69Pbbb1sDBw60AgICrDvuuMMqLCzs2MHbmY9lecB5LAAA4LU61T0jAADg+kOMAAAAo4gRAABgFDECAACMIkYAAIBRxAgAADCKGAEAAEYRIwAAwChiBAAAGEWMAAAAo4gRAABgFDECAACM+j90XdEnA2LvVQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "before patching, make another copy of the current HD lists\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "pre-patch avg use and its sd are 0.99483 0.19131\n"
     ]
    }
   ],
   "source": [
    "#Restart - may want to comment out first line\n",
    "HDunitList = [latestHDlist[t].copy() for t in range(nHDs)]\n",
    "unitUse = [0. for u in range(nUnits) ]\n",
    "HDvPop = [np.sum([unitPop[u] for u in HDunitList[t] ]) for t in range(nHDs) ]\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, weights = unitPop,bins = 50)\n",
    "plt.show()\n",
    "plt.hist([HDvPop[t] for t in popHDlist], bins=50)\n",
    "plt.show()\n",
    "print(\"before patching, make another copy of the current HD lists\")\n",
    "latestHDlist = [HDunitList[t].copy() for t in range(nHDs)]   #More safekeeping\n",
    "latestHDpop, latestUnitUse = [0. for t in range(nHDs)], [0. for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if latestUnitUse[u] > 0.1:\n",
    "        latestUnitDistro.append(latestUnitUse[u])\n",
    "        latestUnitWeights.append(unitPop[u]/statePop)\n",
    "plt.hist(latestUnitDistro, weights=latestUnitWeights, bins = 20, histtype = \"step\")\n",
    "plt.show()\n",
    "latestAvg, latestSD = getWeightedAvgAndSD(latestUnitDistro, latestUnitWeights)\n",
    "print(\"pre-patch avg use and its sd are\",r5(latestAvg),r5(latestSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "ddf99687-37ad-4f81-9b78-b65614c6bb1a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this optional RESTART block pulls in an existing UNIT (not vtd) list for squaring up\n",
      "Must have already established unitGeoms, pops, topology in above blocks\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./2024state_HD_output/WA7434opt3ContigButOffPopUnit.csv ./2024state_HD_output/WA7434opt3ContigButOffPopUnit.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sum of HDweight should be unity, actually is 0.9999999999998156\n",
      "I will now renormalize\n",
      "normalized weight is now 1.0\n",
      "I read in 7434 HD lists of units\n",
      "weighted unit use histogram\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#WA - OPTIONAL restart here, pull in file*********************\n",
    "print(\"this optional RESTART block pulls in an existing UNIT (not vtd) list for squaring up\") \n",
    "print(\"Must have already established unitGeoms, pops, topology in above blocks\")\n",
    "guessedFile = \"enter the unpatched UNIT list file, e.g. ./2024state_HD_output/\"+STATE+str(nHDs)+\"opt3ContigButOffPopUnit.csv\"\n",
    "infile = input(guessedFile)\n",
    "inDF = pd.read_csv(infile)\n",
    "vtdListString = inDF[\"HDunitList\"]  #inDF[\"HDvtdList\"]\n",
    "nHDs = len(vtdListString)\n",
    "inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "HDweight = inDF[\"HDweight\"]\n",
    "sumWt = np.sum(HDweight)\n",
    "print(\"sum of HDweight should be unity, actually is\",sumWt)\n",
    "print(\"I will now renormalize\")\n",
    "HDweight = [HDweight[t] /sumWt for t in range(nHDs)]\n",
    "print(\"normalized weight is now\",np.sum(HDweight))\n",
    "HDvPop = inDF[\"HDvPop\"].to_list()\n",
    "hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "print(\"I read in\",nHDs,\"HD lists of units\") #vtds\")\n",
    "HDunitList = [inVTDlist[t].copy() for t in range(nHDs)]\n",
    "unitUse = [0. for u in range(nUnits) ]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse,weights = unitPop)\n",
    "print(\"weighted unit use histogram\")\n",
    "plt.show()\n",
    "avgDist = [0. for t in range(nHDs)]  #about 6sec per 1000 HDs\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%800 == 0:\n",
    "        print(\"working on avg unit-to-HDcp dist for HD\",t)\n",
    "    avgDist[t] =  np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "df4138f4-7e93-464a-b926-9291b5f68a04",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on avg unit-to-HDcp dist for HD 1\n",
      "working on avg unit-to-HDcp dist for HD 821\n",
      "working on avg unit-to-HDcp dist for HD 1627\n",
      "working on avg unit-to-HDcp dist for HD 2450\n",
      "working on avg unit-to-HDcp dist for HD 3253\n",
      "working on avg unit-to-HDcp dist for HD 4067\n",
      "working on avg unit-to-HDcp dist for HD 4882\n",
      "working on avg unit-to-HDcp dist for HD 5689\n",
      "working on avg unit-to-HDcp dist for HD 6496\n",
      "working on avg unit-to-HDcp dist for HD 7315\n"
     ]
    }
   ],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "27b51cd0-8bb6-4b16-bb79-37498e59ce5c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We will now square up the 1447 HDs with pop < 762822 to within 850\n",
      "working on squaring up HD 1 time is now 0\n",
      "working on squaring up HD 805 time is now 125\n",
      "working on squaring up HD 1206 time is now 805\n",
      "working on squaring up HD 1585 time is now 1352\n",
      "working on squaring up HD 1834 time is now 1748\n",
      "working on squaring up HD 2288 time is now 2797\n",
      "working on squaring up HD 2635 time is now 3832\n",
      "working on squaring up HD 2948 time is now 3944\n",
      "working on squaring up HD 3244 time is now 4133\n",
      "working on squaring up HD 3483 time is now 4212\n",
      "working on squaring up HD 3759 time is now 4291\n",
      "working on squaring up HD 4086 time is now 4344\n",
      "working on squaring up HD 5135 time is now 4516\n",
      "working on squaring up HD 6951 time is now 4609\n",
      "working on squaring up HD 7278 time is now 5380\n",
      "We have addressed underpop in a total of 1447 HDs\n",
      "Here is a scatterplot of original (x) to final pop (y)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING UP UNDERPOPPED\n",
    "HDnAddedUnits, HDaddedPop = [0]*nHDs, [0.]*nHDs\n",
    "underPoppedList = list()\n",
    "minDistrictPop, maxDistrictPop = 0.99 * aDP, 1.01 * aDP\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop < minDistrictPop and t in popHDlist:\n",
    "        underPoppedList.append(t)\n",
    "startTime = time.time()\n",
    "maxGap = 0.9 * np.median(unitPop)\n",
    "print(\"We will now square up the\",len(underPoppedList),\"HDs with pop <\",int(minDistrictPop),\"to within\",int(maxGap) ) \n",
    "for ii,t in enumerate(underPoppedList):\n",
    "    if ii%100 == 0:\n",
    "        print(\"working on squaring up HD\",t,\"time is now\",int(time.time() - startTime)) \n",
    "    gap = aDP - HDvPop[t]\n",
    "    origGap = gap\n",
    "    nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "    for u in HDunitList[t]:\n",
    "        for uu in unitNbrs[u]:\n",
    "            if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap:\n",
    "                nearHDlist.append(uu)   #below line: bias toward close, underused\n",
    "                nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  \n",
    "    currList = HDunitList[t].copy()\n",
    "    addedList = list()\n",
    "    stillGoing = True\n",
    "    while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "        idx, i, notYetPicked = np.argsort(nearHDscore), 0, True\n",
    "        while i < len(nearHDscore) and notYetPicked:        \n",
    "            listNo = idx[i]   #nearHDscore.index(np.min(nearHDscore))\n",
    "            unitNoToAdd = nearHDlist[listNo]  #add this unit ...\n",
    "            canAdd  = wontEnclave(unitNoToAdd, currList, unitNbrs, borderUnits)\n",
    "            if canAdd: \n",
    "                notYetPicked = False\n",
    "            else:\n",
    "                i +=1\n",
    "        if notYetPicked:\n",
    "            stillGoing = False  #can't add any more units without creating an enclave\n",
    "        else:\n",
    "            gap -= unitPop[unitNoToAdd]\n",
    "            addedList.append(unitNoToAdd)\n",
    "            currList.append( unitNoToAdd)\n",
    "            for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                if uu not in currList and uu not in nearHDlist and unitPop[uu] < gap + maxGap:  \n",
    "                    nearHDlist.append(uu)\n",
    "                    nearHDscore.append((unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )  #bias toward close, underused\n",
    "            del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "            del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "            for i, uu in enumerate(nearHDlist.copy()):\n",
    "                if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                    del nearHDscore[nearHDlist.index(uu)]\n",
    "                    del nearHDlist[ nearHDlist.index(uu)]\n",
    "    for u in addedList:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "    HDunitList[t] += addedList\n",
    "    HDvPop[t]    = np.sum( [unitPop[u] for u in HDunitList[t] ] )\n",
    "    HDnAddedUnits[t] = len(addedList)\n",
    "    HDaddedPop[t] = np.sum( [unitPop[u] for u in addedList] )\n",
    "    if HDvPop[t] > maxDistrictPop:\n",
    "        print(\"Oops! HD\",t,\"now has overshot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after adding\",HDaddedPop[t] )\n",
    "print(\"We have addressed underpop in a total of\",len(underPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original (x) to final pop (y)\")\n",
    "plt.scatter([HDvPop[t] - HDaddedPop[t] for t in underPoppedList], [HDvPop[t] for t in underPoppedList])\n",
    "plt.axhline(y=aDP, xmin = 0.9*aDP, xmax = 1.1*aDP, ls=\"--\")\n",
    "plt.axvline(x=aDP, ymin = 0.9*aDP, ymax = 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "bc01409d-d9e4-43a6-9fae-c76aa7bdc855",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "amped unit avg and sd usage are 1.00426 0.18845\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#prevUnitUse = [0.]*nUnits\n",
    "#for t in popHDlist:\n",
    "#    for u in latestHDlist[t]:\n",
    "#        prevUnitUse[u] += HDweight[t] * nDistricts\n",
    "\n",
    "ampedUnitUse = [0. for u in range(nUnits)]\n",
    "ampedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "ampedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in ampedHDlist[t]:\n",
    "        ampedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(prevUnitUse,bins=50,weights=unitPop,label=\"previous\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.legend()\n",
    "ampedUnitUseAvg, ampedUnitUseSD = getWeightedAvgAndSD(ampedUnitUse,unitPop)\n",
    "#print(\"previous unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "bb0be525-b8f4-4763-94e6-09fc491b833c",
   "metadata": {},
   "outputs": [],
   "source": [
    "barredJettisonSet = [7066, 7067, 7068, 7069]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "ee512b2b-4daa-4a6b-9452-e8dfdfdebc88",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "the current barredJettisonSet (usually CCB's) is [7066, 7067, 7068, 7069]\n",
      "7066 0.9699776036720755\n",
      "7067 1.0260560257308986\n",
      "7068 0.987914652301459\n",
      "7069 1.121406214776543\n"
     ]
    }
   ],
   "source": [
    "#CHECK ON BARRED JETTISON SET BEFORE RUNNING BELOW\n",
    "print(\"the current barredJettisonSet (usually CCB's) is\",barredJettisonSet)\n",
    "for u in barredJettisonSet:\n",
    "    print(u,unitUse[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "5a6cb84c-1d0f-4f02-831c-985fe4078dc8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[7066, 7067, 7068] {7066, 7067, 7068, 7069}\n"
     ]
    }
   ],
   "source": [
    "origBarredJettisonSet = set(list(barredJettisonSet))\n",
    "for u in origBarredJettisonSet:\n",
    "    if unitUse[u] > 1.04:\n",
    "        barredJettisonSet.remove(u)  #this one is overused in this state\n",
    "print(barredJettisonSet, origBarredJettisonSet)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "dd7d9818-344c-4150-917b-57a4ee051c92",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\n",
      "Let's now square down the 978 overPopped HDs to within 850\n",
      "working on squaring down HD 29 time is now 0\n",
      "working on squaring down HD 904 time is now 44\n",
      "working on squaring down HD 1204 time is now 132\n",
      "working on squaring down HD 1417 time is now 160\n",
      "working on squaring down HD 1781 time is now 205\n",
      "working on squaring down HD 2035 time is now 229\n",
      "working on squaring down HD 2199 time is now 265\n",
      "working on squaring down HD 2294 time is now 368\n",
      "working on squaring down HD 2427 time is now 478\n",
      "working on squaring down HD 2511 time is now 638\n",
      "working on squaring down HD 2710 time is now 690\n",
      "working on squaring down HD 2915 time is now 734\n",
      "working on squaring down HD 3018 time is now 751\n",
      "working on squaring down HD 3937 time is now 1204\n",
      "working on squaring down HD 7084 time is now 1573\n",
      "working on squaring down HD 7276 time is now 1594\n",
      "working on squaring down HD 7395 time is now 1628\n",
      "We have addressed overpop in a total of 978 HDs\n",
      "Here is a scatterplot of original to final pop\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#SQUARING DOWN  #new for VA, the barred set is dynamic; we stop shedding upon underuse\n",
    "print(\"Continuing with narrowing the distro.  This loop: remove overused units from overpopped HDs\")\n",
    "#HDunitList = [ampedHDlist[t].copy() for t in range(nHDs)]\n",
    "#HDvPop =     [ampedHDpop[t]         for t in range(nHDs)]\n",
    "#unitUse =    [ampedUnitUse[u]       for u in range(nUnits)] #saving in case I need to re-run\n",
    "HDnShedUnits = [0]*nHDs\n",
    "overPoppedList = list()\n",
    "startTime = time.time()\n",
    "for t,pop in enumerate(HDvPop):\n",
    "    if pop > maxDistrictPop and t in popHDlist:\n",
    "        overPoppedList.append(t)\n",
    "maxGap = 0.9 * np.median(unitPop)   \n",
    "print(\"Let's now square down the\",len(overPoppedList),\"overPopped HDs to within\", int(maxGap))  \n",
    "barredSet = set(list(barredJettisonSet))\n",
    "for ii,t in enumerate(overPoppedList):\n",
    "    for u in origBarredJettisonSet:\n",
    "        if unitUse[u] < 1.00:\n",
    "            barredSet = barredSet.union({u})  #adding back in when become underused (new for VA)\n",
    "    if ii%60 == 0:\n",
    "        print(\"working on squaring down HD\",t,\"time is now\",int(time.time()-startTime))\n",
    "    unbroken, noEnclave, sPL, ePL = enclaveCheck(HDunitList[t],unitNbrs)\n",
    "    if not (unbroken and noEnclave):\n",
    "        print(\"SKIPPING shedding attempt on overpopped HD\",t,\"with pop\",HDvPop[t],\"because it was not legal to start\")\n",
    "    else:\n",
    "        #avgDist = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        excess = HDvPop[t] - aDP\n",
    "        origExcess = excess\n",
    "        HDboundaryList, HDboundaryScore = list(), list()  #these will be dynamic lists of the overused border units to jettison\n",
    "        distList = [hdCP[t].distance(unitCP[u]) for u in HDunitList[t] ]\n",
    "        starterU = HDunitList[t][distList.index(np.min(distList))]\n",
    "        #barredSet = barredJettisonSet  #see above for VA-on modification\n",
    "        #barredSet = set(get2nbrs([starterU],unitNbrs)).union(barredJettisonSet)  #weaker specification - must be close to be barred\n",
    "\n",
    "        for u in set(HDunitList[t]).difference(barredSet):\n",
    "            isBoundary = False\n",
    "            for uu in unitNbrs[u]:\n",
    "                if uu not in HDunitList[t]:\n",
    "                    isBoundary = True\n",
    "                    break\n",
    "            if isBoundary and HDvPop[t] - unitPop[u] > aDP - maxGap:  #shedding this unit won't send us too far under targetpop\n",
    "                HDboundaryList.append(u)\n",
    "                HDboundaryScore.append((1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t])  #low-score = bias toward far, overused\n",
    "        currList = HDunitList[t].copy()\n",
    "        shedList, stillGoing = list(), True\n",
    "        while excess > maxGap and len(HDboundaryList) > 0 and stillGoing:   #shed the highest-scoring neighboring overused unit until we've roughly squared the HDpop\n",
    "            idx, i, notYetPicked = np.argsort(HDboundaryScore), 0, True\n",
    "            while i < len(HDboundaryScore) and notYetPicked and stillGoing:        \n",
    "                listNo = idx[i]   #low (large negative) score is preferred to shed\n",
    "                unitNoToShed = HDboundaryList[listNo]  # attempt to shed this unit ...\n",
    "                tryList = list(set(currList).difference( {unitNoToShed} ) )\n",
    "                unbroken, noEnclave, sPL, ePL = enclaveCheck(tryList,unitNbrs) \n",
    "                if unbroken and noEnclave:             #... if that won't eff up contiguity\n",
    "                    notYetPicked = False\n",
    "                else:\n",
    "                    i +=1\n",
    "            if notYetPicked:\n",
    "                stillGoing = False  #can't drop any more units without creating an enclave\n",
    "                print(\"can't drop any more units to HD\",t,\"without creating an enclave\")\n",
    "            else: #add this eligible unit\n",
    "                shedList.append(unitNoToShed)\n",
    "                excess -= unitPop[unitNoToShed]        \n",
    "                del currList[currList.index(unitNoToShed) ]\n",
    "                del HDboundaryList[listNo]\n",
    "                del HDboundaryScore[listNo]\n",
    "                for u in unitNbrs[unitNoToShed]:      # ... and ID any neighboring units that will now be on boundary after we shed this unit\n",
    "                    if u in currList and u not in HDboundaryList and (unitPop[u] <= excess + maxGap and\n",
    "                                                                      u not in barredSet): \n",
    "                        HDboundaryList.append(u)\n",
    "                        HDboundaryScore.append( (1. - unitUse[u]) - unitCP[u].distance(hdCP[t]) / avgDist[t] )  #low-score, bias toward far & overused       \n",
    "                for uu in HDboundaryList.copy():\n",
    "                    if unitPop[uu] > excess + maxGap:  #checking to see if the latest pop change DQ's any large units on current boundary\n",
    "                        del HDboundaryScore[HDboundaryList.index(uu)]\n",
    "                        del HDboundaryList[HDboundaryList.index(uu)]   \n",
    "        for u in shedList:\n",
    "            unitUse[u] -= HDweight[t] * nDistricts\n",
    "        HDunitList[t], HDvPop[t] = currList.copy(), np.sum( [unitPop[u] for u in currList ] )    \n",
    "        if HDvPop[t] < minDistrictPop:\n",
    "            print(\"Oops! HD\",t,\"now has undershot pop =\",int(HDvPop[t]),\"not\",int(aDP),\"after shedding\",\n",
    "                 np.sum([unitPop[u] for u in shedList]) )\n",
    "\n",
    "        HDnShedUnits[t] = -1 * len(shedList)\n",
    "\n",
    "print(\"We have addressed overpop in a total of\",len(overPoppedList),\"HDs\")\n",
    "print(\"Here is a scatterplot of original to final pop\")\n",
    "plt.scatter([ampedHDpop[t] for t in overPoppedList], [HDvPop[t] for t in overPoppedList])\n",
    "plt.axhline(aDP, 0.9*aDP, 1.1*aDP, ls=\"--\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5c4c929d-0208-4785-aa15-5681a493a530",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "9a19b23e-43cc-4609-9ee7-6d1057a7a9e1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here are the stats prior to any equi-pop patching\n",
      "amped unit avg and sd usage are 1.00426 0.18845\n",
      "shed unit avg and sd usage are 1.00034 0.18274\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "and here are the final populations\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 1 out of 7434\n",
      "working on HD 612 out of 7434\n",
      "working on HD 1227 out of 7434\n",
      "working on HD 1827 out of 7434\n",
      "working on HD 2450 out of 7434\n",
      "working on HD 3051 out of 7434\n",
      "working on HD 3659 out of 7434\n",
      "working on HD 4274 out of 7434\n",
      "working on HD 4882 out of 7434\n",
      "working on HD 5485 out of 7434\n",
      "working on HD 6091 out of 7434\n",
      "working on HD 6697 out of 7434\n",
      "working on HD 7315 out of 7434\n",
      "all done checking HD and complement contiguity for all 7434 HDs\n",
      "underpop contigFail, enclaveFail = 0 0 out of 1447\n",
      "overpop contigFail, enclaveFail = 0 0 out of 978\n",
      "total contigFail, enclaveFail =  0 0\n",
      "CCB unit 7066 with pop 139080.0 now has use 0.96998\n",
      "CCB unit 7067 with pop 110132.0 now has use 1.02606\n",
      "CCB unit 7068 with pop 67024.0 now has use 0.98791\n",
      "CCB unit 7069 with pop 17788.0 now has use 1.09407\n"
     ]
    }
   ],
   "source": [
    "print(\"Here are the stats prior to any equi-pop patching\")\n",
    "shedUnitUse = [0. for u in range(nUnits)]\n",
    "shedHDlist = [HDunitList[t].copy() for t in range(nHDs)]\n",
    "shedHDpop = [HDvPop[t] for t in range(nHDs) ]\n",
    "for t in popHDlist:\n",
    "    for u in shedHDlist[t]:\n",
    "        shedUnitUse[u] += HDweight[t] * nDistricts   #KISS - recalc these\n",
    "#plt.hist(latestUnitUse,bins=50,weights=unitPop,label=\"pre-squaring\",histtype=\"step\")\n",
    "plt.hist(ampedUnitUse, bins=50, weights=unitPop,label=\"amped\",histtype=\"step\")\n",
    "plt.hist(shedUnitUse, bins=50, weights=unitPop,label=\"shed\",histtype=\"step\")\n",
    "plt.legend()\n",
    "#latestAvg, latestSD = getWeightedAvgAndSD(latestUnitUse,unitPop)\n",
    "shedUnitUseAvg, shedUnitUseSD = getWeightedAvgAndSD(shedUnitUse,unitPop)\n",
    "#print(\"orig unit avg and sd usage are\",r5(latestAvg), r5(latestSD) )\n",
    "print(\"amped unit avg and sd usage are\",r5(ampedUnitUseAvg), r5(ampedUnitUseSD) )\n",
    "print(\"shed unit avg and sd usage are\", r5(shedUnitUseAvg),  r5(shedUnitUseSD) )\n",
    "plt.show()\n",
    "# note: when I ran this early Jan, went from 0.12662 to 0.09961 to 0.09432 SD orig-amped-shed, but contig not yet done\n",
    "print(\"and here are the final populations\")\n",
    "plt.hist([shedHDpop[t] for t in popHDlist],bins=20)\n",
    "plt.axvline(aDP,ls=\"--\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "failEnclaveSet, failContigSet = set(), set()\n",
    "for i,t in enumerate(popHDlist):\n",
    "    if i%600 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs,5)\n",
    "    if not noEnclave:\n",
    "        noEnclave, eList = isContiguous(list({u for u in range(nUnits)}.difference(set(HDunitList[t]))),unitNbrs)\n",
    "    if not unbroken or not noEnclave:\n",
    "        #print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "        pass\n",
    "    if not unbroken:\n",
    "        failContigSet.add(t)\n",
    "    if not noEnclave:\n",
    "        failEnclaveSet.add(t)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")\n",
    "failContigUnderpopped, failEnclaveUnderpopped = set(underPoppedList).intersection(failContigSet), set(underPoppedList).intersection(failEnclaveSet)\n",
    "failContigOverpopped, failEnclaveOverpopped = set(overPoppedList).intersection(failContigSet), set(overPoppedList).intersection(failEnclaveSet)\n",
    "print(\"underpop contigFail, enclaveFail =\",len(failContigUnderpopped), len(failEnclaveUnderpopped),\"out of\",len(underPoppedList))\n",
    "print(\"overpop contigFail, enclaveFail =\",len(failContigOverpopped), len(failEnclaveOverpopped),\"out of\",len(overPoppedList))\n",
    "print(\"total contigFail, enclaveFail = \",len(failContigSet), len(failEnclaveSet) )\n",
    "for u in range(nUnits):\n",
    "    if abs( allUnits[u]%1 - 0.25) < 0.01:\n",
    "        print(\"CCB unit\",u,\"with pop\",unitPop[u],\"now has use\",r5(unitUse[u]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "ff3288f1-f9ca-473c-886c-ee8d6c2637bf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7434 7070\n"
     ]
    }
   ],
   "source": [
    "print(nHDs, nUnits)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "1ed668f8-bf1e-46eb-963f-cf5e2b935b11",
   "metadata": {},
   "outputs": [],
   "source": [
    "#see MD code if we need to remove a stuck CCB's from any HDs and then redo the square-up after dropping them"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "e7bfa674-8fc8-42c8-86e9-76d334d3c47c",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"opt3ContigGoodPop.csv\" #\"contigUnpatchedB.csv\" unpatchedContigGoodPop.csv\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 430,
   "id": "c0c3a3d8-cf79-40ad-aa2e-b6793266f1d4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "prior to patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    }
   ],
   "source": [
    "#SKIP THIS FOR STATES WITH FRAGMENTED VTD'S ###########\n",
    "print(\"prior to patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist = [list() for u in range(nUnits)]\n",
    "for u in range(nUnits):\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        unitVTDlist[u] = [allUnits[u]]\n",
    "        for i,uu in enumerate(surrounders):\n",
    "            if u == uu:\n",
    "                unitVTDlist[u].append(surroundedVTDs[i])\n",
    "\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        vtdList[t] += unitVTDlist[u]\n",
    "    #add more stuff here to convert to vtd lists\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"needsEnclaveRemoval.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "7a36c0ba-5a68-445b-a223-b7fa55dfd728",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are 7434 HD centers\n"
     ]
    }
   ],
   "source": [
    "nHDs = len(vtdGeom)\n",
    "print(\"there are\",nHDs,\"HD centers\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "id": "1b794580-5a58-4238-b310-7c87872ed679",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\n",
      "Must have already established unitGeoms, pops, topology -- or read in via next block\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./2024state_HD_output/VA2465opt3ContigGoodPop.csv ./2024state_HD_output/VA2465opt3ContigGoodPop.csv\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sum of HDweight should be unity, actually is 0.9999999999998984\n",
      "I will now renormalize\n",
      "normalized weight is now 1.0\n",
      "I read in 2465 HD lists of units\n",
      "orig unit avg and sd usage are 1.00141 0.10791\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"this optional RESTART block pulls in an existing UNIT (not vtd) list for patching\") #vtdlist for patching\")\n",
    "print(\"Must have already established unitGeoms, pops, topology -- or read in via next block\")\n",
    "guessedFile = \"enter the unpatched UNIT list file, e.g. ./2024state_HD_output/\"+STATE+str(nHDs)+\"opt3ContigGoodPop.csv\"\n",
    "infile = input(guessedFile)\n",
    "inDF = pd.read_csv(infile)\n",
    "vtdListString = inDF[\"HDunitList\"]  #inDF[\"HDvtdList\"]\n",
    "nHDs = len(vtdListString)\n",
    "inVTDlist = [ast.literal_eval(vtdListString[t]) for t in range(nHDs)]\n",
    "HDweight = inDF[\"HDweight\"]\n",
    "sumWt = np.sum(HDweight)\n",
    "print(\"sum of HDweight should be unity, actually is\",sumWt)\n",
    "print(\"I will now renormalize\")\n",
    "HDweight = [HDweight[t] /sumWt for t in range(nHDs)]\n",
    "print(\"normalized weight is now\",np.sum(HDweight))\n",
    "HDvPop = inDF[\"HDvPop\"].to_list()\n",
    "hdCPx, hdCPy = inDF[\"centroid x\"], inDF[\"centroid y\"]\n",
    "hdCP = [Point(hdCPx[t], hdCPy[t]) for t in range(nHDs)]\n",
    "print(\"I read in\",nHDs,\"HD lists of units\") #vtds\")\n",
    "HDunitList = [inVTDlist[t].copy() for t in range(nHDs)]\n",
    "#HDunitList = [list() for t in range(nHDs)]\n",
    "#for t in range(nHDs):\n",
    "#    if t%500 == 0:\n",
    "#        print(\"working on converting HD\",t,\"from vtd list to unit list\")\n",
    "#    for v in inVTDlist[t]:  #this will skip over surrounded units, whose pops we have added to their surrounders\n",
    "#        if v in allUnits:\n",
    "#            HDunitList[t].append(allUnits.index(v))\n",
    "#    for c in unitCounties:\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(c+0.5)\n",
    "#            HDunitList[t].append(u)\n",
    "#    for j, L in enumerate(CCBlist):\n",
    "#        c = L[0]\n",
    "#        if countyTractList[c][0] in inVTDlist[t]:\n",
    "#            u = allUnits.index(j+0.25)\n",
    "#            HDunitList[t].append(u) \n",
    "            \n",
    "unitUse = [0. for u in range(nUnits)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        unitUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(unitUse, bins=50, weights=unitPop,label=\"read-in\",histtype=\"step\")\n",
    "plt.legend()\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "print(\"orig unit avg and sd usage are\",r5(unpatchedAvg), r5(unpatchedSD) )\n",
    "plt.show()\n",
    "currAvg, currSD = unpatchedAvg, unpatchedSD"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 176,
   "id": "8014f0bf-74bb-40bc-b217-af4e204ea9a7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "upon restart, need to pull in unit topology and data\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv ./state_map_files/MNunitTopologies_06Apr24.csv\n"
     ]
    }
   ],
   "source": [
    "#SKIP THE BELOW IF NOT A COLD RESTART\n",
    "print(\"upon restart, need to pull in unit topology and data\")  #note, this won't have geometries for plotting, but fine for patching\n",
    "topologyFile = \"enter the unpatched UNIT list file, e.g. ./state_map_files/MNunitTopologies_06Apr24.csv\"\n",
    "infile = input(topologyFile)\n",
    "topDF = pd.read_csv(infile)\n",
    "unitCPx, unitCPy, unitPop = topDF[\"centroid x\"], topDF[\"centroid y\"], topDF[\"unitPop\"]\n",
    "nUnits = len(unitPop)\n",
    "unitCP = [Point(unitCPx[u], unitCPy[u]) for u in range(nUnits) ]\n",
    "onBorder = topDF[\"onBorder\"]\n",
    "borderSet = set()\n",
    "for i, onB in enumerate(onBorder):\n",
    "    if onB == 1:\n",
    "        borderSet.add(i)\n",
    "borderList = list(borderSet)\n",
    "\n",
    "nbrListString = topDF[\"neighborList\"]\n",
    "unitNbrs = [ast.literal_eval(nbrListString[u]) for u in range(nUnits)]\n",
    "unitParentVTDno = topDF[\"unitParentVTDno\"]  #NOTE: some units are VTD fragments, so they share a parentVTDno\n",
    "uVLstring = topDF[\"unitVTDlist\"]\n",
    "unitNbrs = [ast.literal_eval(uVLstring[u]) for u in range(nUnits)]\n",
    "allUnits = topDF[\"allUnits\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "id": "5f3a5392-11f1-4061-a458-aecd834b2748",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working avg precinct-to-HDcP distance for HD 0\n",
      "working avg precinct-to-HDcP distance for HD 800\n",
      "working avg precinct-to-HDcP distance for HD 1600\n",
      "all avgDist to HD centers computed\n"
     ]
    }
   ],
   "source": [
    "#needed for restart only  about 5sec per 2000 HDs\n",
    "avgDist = [0. for t in range(nHDs)]\n",
    "popHDlist = list()\n",
    "for t in range(nHDs):\n",
    "    if t%800 == 0:\n",
    "        print(\"working avg precinct-to-HDcP distance for HD\",t)\n",
    "    if HDvPop[t] > 0.1 * aDP:\n",
    "        avgDist[t] = np.sum([unitPop[u]*unitCP[u].distance(hdCP[t]) for u in HDunitList[t] ]) / HDvPop[t]\n",
    "        popHDlist.append(t)\n",
    "print(\"all avgDist to HD centers computed\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "id": "ea0db02f-9df8-4906-acb4-086c29c0fcc1",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking for discontiguities for HD 0\n",
      "checking for discontiguities for HD 500\n",
      "checking for discontiguities for HD 1000\n",
      "checking for discontiguities for HD 1500\n",
      "checking for discontiguities for HD 2000\n",
      "out of 2108 total HDs, there were 2108 0 0 0 HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\n"
     ]
    }
   ],
   "source": [
    "discontigOnly, enclaveOnly, bothProblems, cleanList = list(), list(), list(), list()  #optional contiguity check\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"checking for discontiguities for HD\",t)\n",
    "    unbroken, noEnclave,smallPieceList,enclaveList = enclaveCheck(HDunitList[t], unitNbrs)\n",
    "    if unbroken and noEnclave:\n",
    "        cleanList.append(t)\n",
    "    if unbroken and not noEnclave:\n",
    "        enclaveOnly.append(t)\n",
    "    if not unbroken and noEnclave:\n",
    "        discontigOnly.append(t)\n",
    "    if not unbroken and not noEnclave:\n",
    "        bothProblems.append(t)\n",
    "print(\"out of\",len(popHDlist),\"total HDs, there were\",len(cleanList),len(discontigOnly),len(enclaveOnly),\n",
    "      len(bothProblems),\"HDs that were clean, discontig only, enclave-only, both problems.  Should all be zeroes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "27b42f93-dc87-4afe-8eb3-f30fdff4a737",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking unitUse, pop for county clusters\n",
      "7066 0.96998 139080.0\n",
      "7067 1.02606 110132.0\n",
      "7068 0.98791 67024.0\n",
      "7069 1.09407 17788.0\n"
     ]
    }
   ],
   "source": [
    "print(\"checking unitUse, pop for county clusters\")\n",
    "for uNo in allUnits:\n",
    "    if uNo - int(uNo) > 0.23 and uNo - int(uNo) < 0.27:\n",
    "        u = allUnits.index(uNo)\n",
    "        print(u,r5(unitUse[u]), unitPop[u])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "72941b8f-7be6-4a31-9377-618f44a34336",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unpatchedUnitUse = unitUse.copy()              #... for safekeeping\n",
    "unpatchedHDlist =  [HDunitList[t].copy() for t in range(nHDs) ]\n",
    "unpatchedHDpop =   HDvPop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "5f9ca091-1eb6-4135-a233-7f5ae0f5e3d1",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "unitUse = unpatchedUnitUse.copy()              #... for restarting\n",
    "HDunitList =  [unpatchedHDlist[t].copy() for t in range(nHDs) ]\n",
    "HDvPop =   unpatchedHDpop.copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fc95ca58-c27f-4ac9-b6f7-234a94945f07",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "e9dd457d-fb37-49cf-9b19-19c17c328ede",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Here, we exchange in under-used, THEN shed over-used\n",
      "Currently, we will stop patching when the overall sd of usage is less than 0.05\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated maxSD value 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this would currently cover a total of 1088 units\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated number of units to try boosting usage 100\n",
      "enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97 0.97\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 1587 units out of 7070 with usage below 0.97\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n",
      "enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Let's further tighten the distro with exchanges up to 38526\n",
      "current avg and SD of unit usage are 1.00015 0.08999 . Now trying to increase up to 100 units' underusage\n",
      "all done trying to increase usage of unit 2584 final usage = 0.65406 485 sec elapsed 12 0 successful, failed patches, couldn't start= 98\n",
      "current avg and SD of usage are 1.00015 0.08991\n",
      "all done trying to increase usage of unit 2582 final usage = 0.73575 2649 sec elapsed 62 0 successful, failed patches, couldn't start= 64\n",
      "current avg and SD of usage are 1.00015 0.08892\n",
      "all done trying to increase usage of unit 2583 final usage = 0.74358 4842 sec elapsed 61 0 successful, failed patches, couldn't start= 64\n",
      "current avg and SD of usage are 1.00015 0.08819\n",
      "all done trying to increase usage of unit 2587 final usage = 0.82873 8117 sec elapsed 105 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00015 0.08653\n",
      "all done trying to increase usage of unit 2080 final usage = 0.66641 8622 sec elapsed 21 0 successful, failed patches, couldn't start= 91\n",
      "current avg and SD of usage are 1.00015 0.08642\n",
      "all done trying to increase usage of unit 2581 final usage = 0.74197 11034 sec elapsed 99 0 successful, failed patches, couldn't start= 74\n",
      "current avg and SD of usage are 1.00014 0.08554\n",
      "all done trying to increase usage of unit 2189 final usage = 0.75273 12817 sec elapsed 74 0 successful, failed patches, couldn't start= 56\n",
      "current avg and SD of usage are 1.00014 0.08491\n",
      "all done trying to increase usage of unit 2081 final usage = 0.80174 15667 sec elapsed 89 0 successful, failed patches, couldn't start= 0\n",
      "current avg and SD of usage are 1.00014 0.08388\n",
      "all done trying to increase usage of unit 2580 final usage = 0.86494 20416 sec elapsed 126 0 successful, failed patches, couldn't start= 4\n",
      "current avg and SD of usage are 1.00014 0.08253\n",
      "begin usage increase for unit 2192 with usage 0.70781 . Sec, total UU units tried = 20418 10\n",
      "all done trying to increase usage of unit 2192 final usage = 0.7751 23785 sec elapsed 80 0 successful, failed patches, couldn't start= 123\n",
      "current avg and SD of usage are 1.00014 0.08193\n",
      "all done trying to increase usage of unit 2090 final usage = 0.86421 28864 sec elapsed 127 0 successful, failed patches, couldn't start= 54\n",
      "current avg and SD of usage are 1.00014 0.08069\n",
      "all done trying to increase usage of unit 2530 final usage = 0.80843 31751 sec elapsed 68 0 successful, failed patches, couldn't start= 1\n",
      "current avg and SD of usage are 1.00014 0.08018\n",
      "all done trying to increase usage of unit 2588 final usage = 0.88571 38405 sec elapsed 153 0 successful, failed patches, couldn't start= 32\n",
      "current avg and SD of usage are 1.00014 0.07918\n",
      "all done trying to increase usage of unit 2585 final usage = 0.97009 42457 sec elapsed 192 0 successful, failed patches, couldn't start= 133\n",
      "current avg and SD of usage are 1.00012 0.07693\n",
      "all done trying to increase usage of unit 2091 final usage = 0.97005 50539 sec elapsed 191 0 successful, failed patches, couldn't start= 13\n",
      "current avg and SD of usage are 1.00012 0.07558\n",
      "all done trying to increase usage of unit 2589 final usage = 0.97028 57792 sec elapsed 290 0 successful, failed patches, couldn't start= 41\n",
      "current avg and SD of usage are 1.00011 0.07352\n"
     ]
    },
    {
     "ename": "KeyboardInterrupt",
     "evalue": "",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[60], line 106\u001b[0m\n\u001b[0;32m    104\u001b[0m listNo \u001b[38;5;241m=\u001b[39m idx[ij]   \u001b[38;5;66;03m#work from low to high score\u001b[39;00m\n\u001b[0;32m    105\u001b[0m addU \u001b[38;5;241m=\u001b[39m addCandidates[listNo]\n\u001b[1;32m--> 106\u001b[0m cContig \u001b[38;5;241m=\u001b[39m \u001b[43mwontEnclave\u001b[49m\u001b[43m(\u001b[49m\u001b[43maddU\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mlist\u001b[39;49m\u001b[43m(\u001b[49m\u001b[43mtrySet\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43munitNbrs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mborderUnits\u001b[49m\u001b[43m)\u001b[49m  \u001b[38;5;66;03m#4/20/24 sub this in as faster? vs below line\u001b[39;00m\n\u001b[0;32m    107\u001b[0m \u001b[38;5;66;03m#contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\u001b[39;00m\n\u001b[0;32m    108\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m cContig: \u001b[38;5;66;03m#contig and cContig:\u001b[39;00m\n",
      "Cell \u001b[1;32mIn[2], line 809\u001b[0m, in \u001b[0;36mwontEnclave\u001b[1;34m(proposedU, dList, NBRLIST, mapBDRYLIST)\u001b[0m\n\u001b[0;32m    807\u001b[0m                 adjSet \u001b[38;5;241m=\u001b[39m adjSet\u001b[38;5;241m.\u001b[39munion( \u001b[38;5;28mset\u001b[39m(NBRLIST[UU])\u001b[38;5;241m.\u001b[39mdifference(\u001b[38;5;28mset\u001b[39m(newList)) )\n\u001b[0;32m    808\u001b[0m             ADJLIST \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlist\u001b[39m(adjSet)\n\u001b[1;32m--> 809\u001b[0m             wontEnclave, __ \u001b[38;5;241m=\u001b[39m   \u001b[43misContiguous\u001b[49m\u001b[43m(\u001b[49m\u001b[43mADJLIST\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mNBRLIST\u001b[49m\u001b[43m)\u001b[49m\n\u001b[0;32m    811\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m wontEnclave\n",
      "Cell \u001b[1;32mIn[2], line -1\u001b[0m, in \u001b[0;36misContiguous\u001b[1;34m(VLIST, NEIGHBORLIST, returnBiggestPiece)\u001b[0m\n\u001b[0;32m      0\u001b[0m <Error retrieving source code with stack_data see ipython/ipython#13598>\n",
      "\u001b[1;31mKeyboardInterrupt\u001b[0m: "
     ]
    }
   ],
   "source": [
    "#EXCEPTION - for WA, run the overuse block first, then this one, as we have a right tail ***\n",
    "\n",
    "#FIRST PATCHING BLOCK - boosting underuse.  Suppresses long strings.  For some states (e.g. MA), do overused first. MA:over-und-over-und\n",
    "print(\"Here, we exchange in under-used, THEN shed over-used\")\n",
    "maxSD = 0.05  #0.07  #0.05   #adjust down if distro already tight\n",
    "print(\"Currently, we will stop patching when the overall sd of usage is less than\",maxSD)\n",
    "maxSD = float(input(\"enter updated maxSD value\"))\n",
    "stopMinUse = 1. - maxSD\n",
    "#print(\"we will stop patching on individual underused units when their usage exceeds\",r5(stopMinUse))\n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        maxNtries +=1\n",
    "print(\"this would currently cover a total of\",maxNtries,\"units\")\n",
    "maxNtries = int(input(\"enter updated number of units to try boosting usage\"))\n",
    "stopMinUse = float(input(\"enter updated stopMinUse value for ending usage boost on a unit; I reco 0.97\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < stopMinUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage below\",stopMinUse)\n",
    "nSmallUsers = 5\n",
    "maxExchangePop = 0.05*aDP \n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP\n",
    "debug1 = int(input(\"enter 1 to print out stats for every patched HD, otherwise enter reporting frequency; e.g. 10\"))\n",
    "print(\"Let's further tighten the distro with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "\n",
    "attemptedSmallUs, startTime = list(), time.time()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to increase up to\",maxNtries,\"units' underusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedSmallUs) < maxNtries: \n",
    "    #each round, find the (5) most underused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nSmallFound, smallUsers = 0,0,list()\n",
    "    while nSmallFound < nSmallUsers:\n",
    "        consideredSmallU = idx[idxNo]\n",
    "        if consideredSmallU not in attemptedSmallUs:\n",
    "            smallUsers.append(consideredSmallU)\n",
    "            nSmallFound +=1\n",
    "        idxNo +=1\n",
    "    UUUclusters = [ [b] + unitNbrs[b] for b in smallUsers ]\n",
    "    smallUnderUse = [np.sum([(unitUse[j] - 1.) for j in UUUclusters[i] ]) for i in range(nSmallUsers) ]\n",
    "    smallI = smallUnderUse.index(np.max(smallUnderUse))\n",
    "    UUU = smallUsers[ smallI ]  #pick the unit that centers cluster with least composite use\n",
    "    attemptedSmallUs.append(UUU)  #so we don't try this unit again in a future loop\n",
    "    UUUc = UUUclusters[smallI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    if len(attemptedSmallUs) % debug1 == 0:\n",
    "        print(\"begin usage increase for unit\",UUU,\"with usage\",r5(unitUse[UUU]),\". Sec, total UU units tried =\",\n",
    "              int(time.time()-startTime),len(attemptedSmallUs) )\n",
    "    for u in UUUc.copy():\n",
    "        if unitUse[u] > 1.:\n",
    "            UUUc.remove(u)  #...drop any overused neighbors of the primary UUU from the target sheddable cluster\n",
    "    uuuHDs, uuuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if UUU not in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(UUUc) ) > 0: #the UUU or one of its underused 1-neighbors adjoins this HD\n",
    "                uuuHDs.append(t)  #Note: we'll check later if we can contiguously pick up the UUU's cluster\n",
    "                uuuDists.append( unitCP[UUU].distance(hdCP[t]) / avgDist[t] )\n",
    "        idx0 = np.argsort(uuuDists)\n",
    "    hasCandidates = True\n",
    "    if len(uuuDists) == 0:  #this underused unit is buried inside others; skip it\n",
    "        hasCandidates = False\n",
    "        print(\"   Couldn't find any HDs adjacent to underused unit\",UUU)\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo = 0,0,0,-1\n",
    "    while unitUse[UUU] < stopMinUse and idxNo < 0.8*len(uuuHDs) and hasCandidates: #arbitrarily only examine 80% closest of HDs\n",
    "        excess, giveUpOnShedding = 99*aDP, True  #default = failed swap\n",
    "        idxNo += 1\n",
    "        if idxNo % 20 == 0 and debug1 == 1:\n",
    "            print(\"try to add unit\",UUU,\"from\",abs(idxNo),\"th HD.  Usage up to\",unitUse[UUU] )\n",
    "        t = uuuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).union(set(UUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        loopUUUc = UUUc.copy()  #default; we will add whole cluster\n",
    "        if not (contig and complementContig): #we can't add whole cluster; neighbors may be enclavy.   Try just adding the UUU\n",
    "            trySet = set(HDunitList[t]).union({UUU})\n",
    "            contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "            loopUUUc = [UUU]\n",
    "        if contig and complementContig:  #we can at least add the cluster, let's go for more\n",
    "            HDuuuSet = set(loopUUUc).difference(set(HDunitList[t]))  #the subset of the UUU cluster that adjoins (NOT in) this HD\n",
    "            HDuuuCpop = np.sum([unitPop[u] for u in HDuuuSet])\n",
    "            giveUpOnAdding = False            \n",
    "            addCandidates, addUseDists = list(), list()\n",
    "            uuCandidates = getAdjoiners(trySet, unitNbrs)  #any adjoiner can be picked up, even if far from UUUc\n",
    "            for u in uuCandidates:\n",
    "                if HDuuuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    addCandidates.append(u)  #Below's relative scoring of use and distance is a bit arbitrary\n",
    "                    addUseDists.append((unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t])  #bias toward close, underused\n",
    "            if len(addCandidates) == 0:\n",
    "                giveUpOnAdding = True\n",
    "            while HDuuuCpop < maxExchangePop and not giveUpOnAdding:\n",
    "                addNneighbors = [len( set(unitNbrs[addC]).intersection(trySet) ) for addC in addCandidates ]\n",
    "                addScores = addUseDists.copy()\n",
    "                for jjj, u in enumerate(addCandidates):\n",
    "                    if addNneighbors[jjj] == 1:\n",
    "                        addScores[jjj] += 0.4321    #discourage growing fingers\n",
    "                #print(\"HDuuuCpop is now\",HDuuuCpop)\n",
    "                idx, ij, notYetPicked = np.argsort(addScores), 0, True\n",
    "                while ij < 0.5*len(addScores) and notYetPicked:\n",
    "                    listNo = idx[ij]   #work from low to high score\n",
    "                    addU = addCandidates[listNo]\n",
    "                    cContig = wontEnclave(addU, list(trySet), unitNbrs, borderUnits)  #4/20/24 sub this in as faster? vs below line\n",
    "                    #contig,cContig, __, ___ = enclaveCheck(list(trySet.union({addU}) ), unitNbrs)  #4/20/24 this is unnec slow\n",
    "                    if cContig: #contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDuuuCpop += unitPop[addU]\n",
    "                        HDuuuSet.add(addU)\n",
    "                        trySet.add(addU)\n",
    "                        del addUseDists[addCandidates.index(addU)]\n",
    "                        del addCandidates[addCandidates.index(addU)]                        \n",
    "                        for uu in list(set(unitNbrs[addU]).difference(trySet) ): \n",
    "                            if uu not in addCandidates and unitPop[uu] + HDuuuCpop < maxExchangePop and unitUse[uu] < 1.01:\n",
    "                                addCandidates.append(uu)\n",
    "                                addUseDists.append( (unitUse[uu]-1.) + 0.1*unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnAdding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            addSet = HDuuuSet.copy()  #we're done building the list of underused units to add to this HD\n",
    "            trySet = set(HDunitList[t]).union(addSet) \n",
    "            excess = np.sum([unitPop[u] for u in trySet]) - aDP\n",
    "            shedCandidates, shedScores, giveUpOnShedding = list(), list(), False\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if unitPop[u] <= excess + maxGap:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward OVERUSED, far\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            shedSet = set()\n",
    "            while excess > maxGap and not giveUpOnShedding:\n",
    "                #print(\"excess pop is now\",excess,\"for HD\",t)\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    if excess - unitPop[shedU] >= -1*maxGap:\n",
    "                        contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                        if contig and cContig:\n",
    "                            notYetPicked = False\n",
    "                            excess -= unitPop[shedU]\n",
    "                            trySet.remove(shedU)\n",
    "                            shedSet.add(shedU)\n",
    "                            del shedScores[shedCandidates.index(shedU)]\n",
    "                            del shedCandidates[shedCandidates.index(shedU)]\n",
    "                            newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                            for u in newSheddables:\n",
    "                                if excess - unitPop[u] >= -1*maxGap and u not in shedCandidates:\n",
    "                                    shedCandidates.append(u)  #we'll check enclavity if ever picked\n",
    "                                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                            for kkk, u in enumerate(shedCandidates): #checking if this shed eliminates high-pop future sheds ...\n",
    "                                if excess - unitPop[u] < -1*maxGap:\n",
    "                                    del shedScores[kkk]\n",
    "                                    del shedCandidates[kkk]\n",
    "                    ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all shedcandidates would create a discontig, so can't shed enough units to square pop\n",
    "            legitSwap = False\n",
    "            if abs(excess) <= 2.*maxGap:  #giving ourselves a bit more margin after exchanges\n",
    "                contig,cContig, __, ___ = enclaveCheck(list(trySet), unitNbrs) \n",
    "                if contig and cContig:\n",
    "                    legitSwap = True\n",
    "            if legitSwap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t] = np.sum([ unitPop[u] for u in HDunitList[t] ])\n",
    "                nPatchSuccess +=1\n",
    "                #print(\"we added\",addSet,\"and shed units\",shedSet,\"from HD\",t)\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "        else:  #adding neither the UUU cluster or just the UUU worked; couldn't even start\n",
    "            nCouldntStart +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "\n",
    "    print(\"all done trying to increase usage of unit\",UUU,\"final usage =\",r5(unitUse[UUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "861f29d3-b727-49af-90a8-aa9a963e0741",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00034 1.0001 and their SDs are 0.18274 0.07306\n",
      "And here is the pop distro in state WA\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 500 out of 7434\n",
      "working on HD 1000 out of 7434\n",
      "working on HD 1500 out of 7434\n",
      "working on HD 2500 out of 7434\n",
      "working on HD 3000 out of 7434\n",
      "working on HD 3500 out of 7434\n",
      "working on HD 4000 out of 7434\n",
      "working on HD 4500 out of 7434\n",
      "working on HD 5000 out of 7434\n",
      "working on HD 5500 out of 7434\n",
      "working on HD 6000 out of 7434\n",
      "working on HD 6500 out of 7434\n",
      "working on HD 7000 out of 7434\n",
      "all done checking HD and complement contiguity for all 7434 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro in state\", STATE)\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%500 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "bc0429f6-d5f2-41a4-8fb9-cae2c3e54ed6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "example HD 734\n"
     ]
    },
    {
     "data": {
      "image/png": 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k33xXgFNRqPfHxentJyrv4DjOvm5sm/I7/ws2U+vrLcEusGJgVeB7dUM1WfHdC6Ww7eUXMMgKM/94P6b4eKZOmcV3G1by2FUXBOpYAG8LHbfUpS0pjTNp02qDY1N55twPGBmnLQ8fEpvdogclEGNGRyc8qBFfKaRbWPoDH2qxIEjsYJVPYLqn7QmlyJppW5Q6sNA0NdMHHKtONubkzqdCHEjBnptZX7qx1bYj9YVsKtscIclCRwjVAaoHfLH8KDcu2sZhr5dYVcAQhmix3UegwWunzlUXKImLTUZoMa0qtGMAsldWdNiyvaiQPYVHyM8aiCk+HoApt/2GZElzio/yysydcy4AxsrSwH5bKnYCMDqxeQHDjNR8Esyas64oilww+vfkpp0LgozXoDvR65xc6ApLf0DxwozbIK9tsKomAnPVQSwsiqyNrGJHU0o6vYZRMjBp7DMogpnKXT9gb/WBwLbNGy+hZuflvPDt5awvaRs9+mTl+NP0243F3PrpDrLMJl6+fDzv3TQ9MoL5sagmnq5+kZlvz+SFT58EIDNnJB5ji0ioauuDMMdqTsJbln3eYdvb/vsCsigw69bfBspEo5GrX3iNc86/nJ+99RFDL12gyVFaGKjzXelGVNHGtNRhbdps4sFJVzMxXQsH4eq+i42OTp9EV1j6A4ocWOnTLk1TQkGWzDbFhwjJwqI/kvUKQxKHkjXkQUx4WLddWzV3uL6QWLWaImEQNqWCwt034vS1H5/kZEWWFe783zZSJAPv/WYWp03OYkiQXD0nkldmv8Q/Bz/MOHkEb5e9R0VFKWdPu450n49Ly2Ow1A1qc7HYkuMZPGASDY7qDp1dD+/aRrJoJHZQa4upyWpj1A+vRzSZsKW2DfK4v2orsdEjMHTy4FHSWAqqgWinbmHRCSdq91IUhBFdYekPqErHDrdaJf97EAuLf4mjEHKWPp3eYHr2bGoy/kSmvIu9FRvYteFsPJiYPeFZRo74O7HUsbrw20iL2bsEuZF/s7GYMmR+O28oiXF9I2DhsMGjmTdzPtcMvZoSqYIzPjuTL/Yt4+uCYu5v3MmU0rHg8eHcfpB9M85h75TTOXz5T0gymBGF9jOhexrqKfc4GZjfvpWkPRocR8mL63y/YnshIgn64K5z0qGf0/0BpeMlzQD2Wm2uvb6yAm9jPT5nI6rPC4rc/LQXsvlEV2x6i9NyNafK9cc+xYKL2vS7yY0fxJjUyVQKmRSWvBthCYPRu+fDT97fCsCcycFzC0WSs6dfyB8zfsN0YRJP1b0eKK8mBunn93H02qtQXHaMA4biPrSHpI/eIKu0BFdtXdD29n3wHoooMuy8C4Jub0mjJYqdQ8cHvgtyDSUN+zvdzyIaUHH7E5XqNhadkwd9lVB/oKEYvn0Y5tzdbhVvvbZ64eNX34VXm296IgqKXy81uGs670sf33qVFGsi9UISaXWvATAr5yxAc5j0xJ5NfN07KIoS9mShfYXA6RVEB4qL7Xu5wSRR4sqzrufshov444u3AccA2KQMQfQsQUjKJOfZJ7AMHYiv1s7BX97F8E1L2H7BfCYtWYpoah1d+ui6VVhlhbRpMzrte8e8q1BanAexMWOo89g73e/KIefx5+L3+fM1En/o0tHq6HRGZB9mdYWlvzBgmmYhUVUIcjMbOiiBi7J34h44DyExDwEVr9eHLMs01paTUvw1xmj9z90XsJtHE+v6lmPmWcyNaU7wmRQ7AnNdIxXOKtKiOk9UebIwPz2BxSUhKNMRJD4mgbtKfsL9UgxRuIiWzRjeeIFBA5uXEhvioxn2xkIOvfkGwv1/4cC/HmfoHXe2aqekvJT0uKR2p4xaIprNVCRX88SyX/Kr059CkmIwqA2d7ndF7lQe+DabXQMLqfL07d9Vpx/RBxwc9TtYfyA2C46thvvj/QWC5tMiGmDefXDqLxBUlfyYapg7H0Zd3Gr3PRuWMOyTNzkcwiCpokbar+qk5/Qxf2HNkfdZMPwnrcqtBgsK4JTdkRHsRNC0mK1FUYzZgFsA2acgGfquZcl6Xh4Zb17KstgyfuQrx1dfB2S3qZe74CrWvfRfzG+9jfKb3wasZaqi0IDCkIT2o/j66uyUP/E5olnktkmxNHIvKHCg5iA1tasYmnVFSLL+Z8QvuWH374k1OLp1rDo6fRFdYekPXP4iVOxF89IWNZ8WVYYVj0Fl05y2PyhER865uibSJ8iJySJnzC2tynyyl6Pli0nFTJIlIUKSRQbV7wwuKyp9eeG9kmTBKToYat1LtRV27XyKwmPVWpIu0Z8eQ4DcNQ+SPfEeFHs5hd+sYcBcbYl29c4dKIJAfM6AoO3Ldgdlj3yGqmSgNEL211CVdzmVQ97lnxsfA2ByysiQZDU25Q/r+WHr6PQZdIWlPzDgVO11PBv+26ygNIUxD+KcK3Swgkinb/DW1kfIaVxERdLNxJgil/TvhNFCeR6aHgOHy9l3pJbRQ5MiKFTHGM2GVtHifPYxZBgMWmZkQUIQRARRRI4vB0cmXosZ+csa3JMbMcdFseX5pxFVlSHXXtem7Zr3l9GwvAHRkoEUXYY5PwnHFgMxzvHsFteRghOAFGuIv4/+cKITZrSgoroPi0538dhh7xdQfRjq/AGmgsVrCcSUC2VKSCcSyM4DFEhjuH7crzuv3I8JNg0+bUwqrD7IrsM1fVph8dQ6MPiiA99Hz/wBw4fPaVOv8PNFqCU+Yq8fSeMrhyl6YBXe4QJFFaWkW6KxJbf2T1IcLhq+rUEQBaJnGog971LqD+6BLVUoUW4aDLlYnGUAGKW+55iso3Oi0BWW/oynERrLoU5buYAgQUrbOA0dRcHV6Rt4pXiifMWRFiMiDEiNxqTCjuJ6FpyA/lxeD98e3kWsqYyow1UUHo7BJJmITUjAEmNrdz/Vn3QwUxpMsXyQ7OzRHfaTMnoQ7gvt1HxxgIR9KcRHj8VgLm1VR5FlSh56H9GaQ/xFiURPGwVA9bdbMEgppMw7BbFoGahaeg2zUtumH6/HxRdfPInD3YCiqCiqQnHdMS0ZkY7OSYSusPRn4gfA0LPgoic7qRi63aQPOIJ/L3FLqaQpJ3nQOCDYuRgdbcI88i4+AD54IU5LsCZAs/lZaLWfNsXZZJ5ufglBPguIbco8kl/Bbwo0u1x7G+LN5f2ffNy+6P7cRmZXPNnKYKKj21nJJTSbzrNnjiVz+mj2PfYpE5lHbeEKvJU1lD74KQhmUCQEcw6CWEr0NC31hqLICIXRKCNqics7E6HYwCTpAO8KVrYfepqrhpzXqrt1q97j9zX/bS2DBSweSE3Nbf94dHS6SKSTH+oKS39GdoMh9McoVfdh6bMkWxOwNNjxyjLGEFIo9HeOPxPNahRuoZHJSefgkxVktZ3MggBqs1eWqqoE/qkKCoq/TMtWrKpKYJtWS0FVB2M1WLlm0DkkGxVk1cfHuz5ik7ytQ5lF/woml91AdJoc8tGJosiw2+dT/Og7xDOLskd3IJgGorqrUJVGbCNdJF3XvPrHXngQoysB09Cm5kREASbYZL6tOIJP9mCQmuO7eLwuAN6d/BR5+ZMQRQOiZDhpY/nofH/RFZb+TOl2KN3O+v1FoMoIioygygiq4n/XXlafFnXT4+vgJtAC2SPzuyV7MBslVEBRFGR/CBhZVVD8n88YlMQFg1N78QC/Pzjtu6gQBpz8yko7FrzL4q/mf9Wv8dLFfzyx8vjZcWQrG91b25R7ZS8ARsmIIGmKiM9txhrTgTIg4F8y1KJIFMm68yoKbn8NwTSQ2LlmYs+8OOjuDfv2oxJN3Igx2r4+LZbKKTYfaxoNbCz8mKkDL2uzn9lsw2Ruf0qrWRj9wUWnf6IrLCcBMY1HUQQRFRFFkFAFCVUQUQUJRTRxzJXIBt8cMoRUOstEMi4rjl17q3j764Od9vvV1hIu+O0Z4TmI7zmCaCNFPYZX9mGUvgeX5XH3TI/iRqUjq8WJw+N1U11Vya7Nm0hcBUbVQHFuPVl7MwJ1bHHd+xtl3HsxqAKG+PZXgnlK6iHKizlGi9diUbQo1oJlMFBEUe1uGNhih8AiQF0R0ellInyOfQ9GxpOXGZYPuHRiFr85q2M15LXVR/njRzt4UTJ1WA/goTnDePD0odR6fLi8MpIoYBBEDCKIgoBBEDCIAnNeXENVrTNch/K9Z2T2pdTveZcPdv+HBaN/HmlxWhHOeev2XKSK7MVEKbFh66c7qKgU1hdQ+Ohasj1pDCWe/dEFuOJ8jDmQR02LaSpbTAfXktDkO9MWQ1x00PJWclQKkNCofVZVopRqAExRYxApoqChoHX9pkztnbaso9MTIu/gqCss/RifomDohXlqQRBIMBvBbOyglqqPkGFkZOJg1gCC4fsVNK6JqUmnsrpyCdsLdzIme9QJ77/JLbeyupxsTxoO0Yn6gwzmjNQcYQ8d2sue/fvgA80yEp3Qvu9Yk4uwqqohhRJoiaL4EGtiYbQWgv9Q3TGi0D7HW5MZF5vA64dXceGILeQljT+uY91nRefkRj/D+zFl9W4+2db5UljVrxmHcwWQtg5C11jCRaWzHIBYy0meQ6idc/DyGecD8N3ODSdQmLYMSx8BQMUshWEjxwTKBw0aRlJMs7+Ww95REsKm66LrF1ztgc0YPDHEDBsEwO7ytYFtaXGjefiM57GI8KvFP8HhqfP34rew6AqLzkmOfob3c+JtHVlBNET/U56ihE9j0Zc/hxeDIR4Ar6c8soK0S7j/4K2V3bj4aGy+GLaVbw9zP6HTIDi47e1f8l3MFnyNnjbb6/c3Twkp3g6uO/+hqd24SJzHKlBRiBuqWZkc7ubzYWDCGDLjhvHItLsocrv413c3a/207lZHpxeJ7FmmKyz9mMQoE3OGd75Kp8nCEl5/KT1JYjhZe+xjfEiMy5gdaVF6lY5u4ZMMM1ihfMlXm5afMHmamDn0NKaI49jh28u3sRvwVrZNGhib2jwNFNKS4S4qLGWbvsG5tgafpQaDVVvtE23RHH0VRNKitUSL0wZdy4ioGHbXFfi78VtY9GXMOr1JH3hK1c/wfk4o51BTHTGMGoYa+bQSJxVunwMfRjJtfTc0fTgJduo8uuDPZHhyeWzTP064PBNGTeXZH/2XYeIgFBSiq9s61abmxQQ+p+dltNkeoJsWlsYVpRjcsQjjXYGyU3LOpNAwFsuQF1spSSoKBtHQ1JG/W/2C1Dm50RWW7wFNM0FddQDsCFXVB8hwkpk0EwsuVhauiLQovUsgTUTbTTarlfMzLqLIeIjy2koKizdw7xtzsTecuJQFIiKyoGDwtB0a41qs8HE53ChyJ8uwu6CwyF4PUkUiwlgXuRdfFShPscTyo9kfMCtnVqv6FR43yWZtVVXzlJB+Peqc3OgKy/eAYv/y46og8/LdRe0DS9xOJmZlTqJaSKfw8MPYva7OdziB1Ja1nR7pLdZUrMbssxJrjWHd7rd531vOnxddw469H+Hz9L4cJsHEmpht3JO5sM22zNTm6ddv/yuzY3U7ymVXVwb5fBx9dBGSz0bcuKGd7wD4VLBKmh+N0rTcWp+j1elF+sKYryss/ZhQhyevrA1o3XECbBdVHx/DiSiKDBn5b1KVo7y1/te4+5DS4vWcuIBuPsVHhjoQi9lMgi0NgM99VVy95o+c99oUvv76jjaWC5/XyTuf3khd9aEe93/77N+SKaZRaC5rs02SRDxGJ0Km5gjbWN/RSiGA0CJL+xwOTHVpeEYdIX7IuJD2kQSR9ZV7KW84CAEfNf2C1Dm50eOwfA/ITtAc+NYfqaaq0YPbK+Pwyrg8Mi6vgsPjw+mVqXd5OabKzByawqycBERBQFXBqyh4FVV7yQpeRcHu8CKK+gAZTsanTWRRzT3kFd/Py1sf5WeTIxOm/nhScmKoD5PO0pnOPDRmOJ/Z38XpcbK96DsA/jX0R8Rak3lp50vcXvwF5762hgevXoLBoPmZFJRu4S+Vq/j0o8t4+YbNPZIvf9AIhhweTnFhW4UFQDZ48SQ6MRaD0F465MCq5tAeEBSPGwDb0PSQ5bxgwHT+c+Bbrv90Ab+IvgYI0UdNv2R1+jG6wvI9IDvBCsA7Gwo7rCcIoBhF3j1Sz7shtJuRGxcG6XRacuHw63i15FUEz4nz24gEwe6th4oL+Mj5Bkiw7egKnm88wCWmDM6Y9lsAJo37EZ+uuJ8/HHqXIZ/+hJ9e9AoAmWljAdgk+jhasIqBOdN7JJvoj2fy2IbH2Fm1k4yoDGZmz+Sc3HPwRTtQaowYBR9HD3+Mb/8hZg75Gd/t+pqCsrWgqmQWwyBO55P/7sBhNRJrNSIIAqKgHbggCgwcnYJoEFEAb3kJCYBkbj9c//HcOmMhU7Pe5aff3s+/3W9qhbqFRaeXibSflK6wfA84a1Q6K+6cQ0WDG5+qYjNKRJslbCYDZoOE2ShikkS2VjVw7o5D/MQSzeiEKET/IGsQBEySiFEUMUkCJknAIIqMSuo8zLhO13FaRhLv6pmloD9SuE9LPjhFGcTW3a8jqSo3z/l7YLsgCJw/+z72VO7g6ZpNHH19Drec+W/SUkdjUlU8gsDPvv4Z/5z5MCOHnt9tOTKitBVAL+18KVD28aGPOSf3HKyZYNiaCUDtwVmoR+6DIT/j6OFHSDQV4JatuEwDcJjHMeBYAoLoRvKHvhWAeI/f6rK6olWfPgG2CkXM74Kcp+ZezmWHPuK9gi1A5G8mOic7kfdh0RWWfkxXHqhyEm3kJHacyVX0D3hJVhNXDe9g2aZOr2IxxqA6fZEWo5leeXJv22bO7rVcItv5IOYQ62rgAlMqqeltfTp+Of9FhI+u4WP7YTZ/cjWvXPQBCYrKZGs6n3rKuHL13azPnoalxRLxkpJN/PrzGxgblcndCz7r0N/j7ql3c9Xwq3D5XMSb47lrxV1sKd8CQNbgJMr8SZ1jsjej+N0ABWTK5TO57pxmZ92Zn2+hVJE5MH9SoExRFA4V1OFweFF82t7Vjkr+UObm5qiuZz6/c+ZC3ntzpvZFt7DonOToTrf9nHA60jaNd0of0KS/z/ich3EZB0RajNYIYTonOmgmrfQV7q2s5sbEiUxUTfx63hNB69nMsfxmwSe8etaLVAkqp39yCWWSyNy8c/h9ygwAHnr/UhpbOOF+sfkZdkoKb7oKKanY1amYeXF5jEgaQUa0X3H3Xxuj8gc3yzv+HUx0olgep0OIokj+wATGjkhl/Jh0xo5JZ+SYdA7GSJ3KFAybKY67TFNJaFAx95Fs1zonMXq2Zp2+QpP22gcCGn5vqXfbyfRuoCb24kiL0rsEi8Mi1ALwi7Of42aTudMmcrKnckPKKSys0vIPzRh7PTZbMsoXN/NI6TIWf3QB75/5EmnZUyhsLAns1+Cu7rK4iqpw5v/O5IohCwBNaVEVAVOVxJv/PIW40XYq5dFdbheaV/c8XeJlr30RoF2Lan0t0yu3kKXUgQomcxKDzn+4TZTd00wjmLjwO0yXd0/p0dEJjcjfGHQLSz9GVcOrXDQNnJE/Lb+/OFUw4iPalhtpUXqFUGI5SCEoK03ccNZCpqoW/p4zH5stGYBrz1nIe6f/m3pRZPnO1wGocddh8F8sFqHz/FstOTv3bOJMcZQ6Svnw0AeogmbJqDs8k22rcihek0ZBw2QGD7iwS+02EWuMYaBQQoHPxhs18bxek8ArNYk8LY/l9ahEyszfUpK0jKPR7+Eo3h2khaZgfPpwrnNyo5/h/RhRFPjH1/vYcKT5ibG60cM9H+6guhtB4kRdYYk4qeYoGoijwV0baVF6lWCG5WJlAlWxp3WpHZMpiv9cv55zzni4VfmQ3DmMVY0sKV2D4nOz0VtNmqoNd1FS6AoRwDUjrmHl1SuxGWwICDiHlALQUDgJY622tPqsSQ8zeMBsLnpzPd8cqwrsG8q1ZDaYWHv6uRyeM519c2azf84sDsyZyeCKUuKrRjPnggMMk27X2lO8QVrQ47DonCj05Ic63eTpaycCcKiiMVD2j6/28uqaozz1zYEut9cUViWsAeZ0uoQgCDSKKXjcpZEWpXfo4NRyxwzF3LA/bF0tyD2P73Aw7vXJVIsCZ8SPAMAkdj51oqoqPkXFJSs0+LzUeVyoCMiKisEkoaoKsq8aT6JW//07b2T6X75k69ZybnhqDde9t5nDlY24vaEFjwsqgyAgBK5FsUmwtvV8Tb4rQkB2ub4eb1nwWDI6Ov0V3YelHzM5NxGDKHC4qpGCagdl9S5eX3sMgLfWF3Dh+EzGZseH3F6ThaX7Q6xOOLCodbilkzzGTZAHNVNMDMaGOrz2OozRPT/+i07/K4lbBvPF/veYn3sOifF5vLrqLrYeXcYsf+yWJv6+fREvb3kQVBlNq1JAVQAFoYWWFVM8nroSL0m+ImoPrKfluruh9gPsiRkGwPL1xTAqvkePhCpCYHdBFEGGrd/9CHGloWUCIayLXFiAw7PP1ZwiWyg12Qv/Tcy8ed0XQkeniT7wIKsrLP2cpGgTTy87yNPLDjIlT3vc++a3p3P+Eyt4f1NR1xQW/3sfOC+/t1Q2lhKrVqFG5UZalBOOeczZSCUvU7XwB6Td9XFY2pw1/gZmjb8BAFVRGLzy9/xn9yucOv7HGE3Ngdp21RwE1cfswTcgCiJG0YAkShgEEYNoQBJE6j12MjaksD95AwWZexm5HoxjcsiYegHH/vMUN14/h0tOmUCty0ul08u1uw5T4e3+8nRFaL4mk0acQ/wX76Hgae0HpIA80YK6uxbL4OEYkpIQrVYUp5PGlSvxFB8fgFC/uHX6L7rC0s/54tbZnP34csob3Kw7XM3103PJS45CUWHF/go+3lqMimYmVlVQ/O/Bhq0Kd5Pfiz6oRYpNZeuQUBifOSfSopxwkmecRdHmq4mr+LxX2hdEkesHnMM9hZ/xi1en8a+L3ycqKb9FBTNPzbipwza+rD9M7eJyPh64iKFiDvHZ6aBoasXEQQMBiLcYibcYESUBQe7+nL/aIhScJXkgk37wVfuVf9f6a8PyFTSuXBnUr0UPMKfTffRlzTo9ICHKRGKUifIGN8nRZn5+2mAURcVqkjhY0cgtb4YeMVU1inBGBnE2Uy9KrNMx2s3PJnVtJUt/oTPrXVblK706Jl489xEyto3ito1/4/yPLiJWkHCiUiICgg2Hq5GNn/2VjCNLqIrOYvyPXsVsbo7oPH12DjsWZYIALrNCY10N+RMyOQYcLixgYFJi2GRVhR78FIEMzrqbok546AvZmnuksDz88MPcfffd3HrrrTz++OMAlJaWcscdd/D111/T0NDAsGHD+MMf/sBll13WbjuyLHPffffx2muvUVpaSmZmJtdffz1//OMfdc/3EPjklpk4vDJmg4jZoDkUrr77DDw+JZDDREBAELQpbgGBYHkLq70+xq7exeBkPeR+pBAETVmUla6v8uoteiXObZDrWlWUE/L8NnXsdbwSN5C3Vz+EUZAQEHjVdRRBdXDo6TOZUbeL3YnjmVq8lE1rX2fi7BubZVRVTD4tN5dPUnC5HEweNpQNwBfvvMHp45oj80Z0eG/SDPUEpTonEd1WWNavX8+zzz7L2LGtndeuu+46amtrWbRoEcnJybzxxhssWLCADRs2MGHChKBtPfLIIzz99NO8/PLLjBo1ig0bNnDDDTcQFxfHr371q+6K+L3BIInESq2fpMwGKaC8hIok609jkSY1JpdK4GDNfnLiBkVanF4g+G1cbSjD+fQF2IDyGc/T9SD1XWPIwNP448DmJdRTnpvOwcZjDGysofDK9xg5/AwOPjWBMct/R0H+UHL8U3QqICJi8lmQRRWvxxVQvqyJyYH2NtY1csTpIUrq4TXV3Qc2tYVXro5OmIj0dGK3ria73c61117L888/T0JCQqttq1at4pZbbmHKlCkMGjSIP/7xj8THx7Nx48Z221u1ahUXXXQR8+fPJzc3l8svv5yzzjqLdevWdUc8HZ1+y5jEwTiI4kh1H0p+GEYrp9KoxRFRna3jiTSseh+bYy8ASTO6kgIwPJxuTeXHdQ0Ybt3MgBFzEQQB0+QrMfpUtm+/N7DUv0kNMPls+CQVfAp/+vxrAOZfcHGgvX8c0Zal59u6FvOlFT0x0ShNU0K6wqJz8tAtheWmm25i/vz5zAuyXG769Om8/fbbVFdXoygKb731Fi6Xi9NPP73d9qZPn86SJUvYt28fAFu3bmXlypWce+657e7jdrupr69v9dLR6e+IooQsWHD5+s6UUDjZ9cVRDIDJ1Xr1jO20HwNQajgVyRYVZM/eRgAErDEpgZI4c4z2Lh/js6MrAc2vBMAsW5FFTWFJUrRjyUpLB+CpY2UsrW4A4MvJw06Q/K1R9SkhnZOQLk8JvfXWW2zatIn169cH3f7OO+9w5ZVXkpSUhMFgwGaz8cEHH5Cfnx+0PsBdd91FfX09w4cPR5IkZFnmgQce4Nprr213n4ceeoj777+/q+Lr6PR5VFRMJ9mNxuvw8tztKwAYbRUxWFoPPQaLiRo1FzW6D2UJ91snfKqJ8oKnIXcWil8RMChGZNEDPoWZA7JZB+wrLiYjbhhra7VAjrmWHjqvC3R/RqcpWr9uYdEJJxE+n7pkYSkoKODWW2/l9ddfx2KxBK1zzz33UFtby+LFi9mwYQO33347CxYsYPv27e22+8477/D666/zxhtvsGnTJl5++WUeffRRXn755Xb3ufvuu6mrqwu8CgoKunIoOh3QF7zBv8/UiRkYPYcjLUYrhB5ka1YUldd+913g+0BT8GHHplagRvW290o7NJTSdg5GG5ydsfPI8G6kqKE4UENUJWRRRZBV8vPyACgsOArA0ChtbHx5bF6PRFJ74jGgrxLSOQnpkoVl48aNlJeXM3HixECZLMssX76chQsXsnfvXhYuXMiOHTsYNWoUAOPGjWPFihU8+eSTPPPMM0HbveOOO7jrrru46qqrABgzZgxHjx7loYce4kc/+lHQfcxmM2ZzD+aHdXT6KmIMPsUdaSla0P2nKtmn8PZvV+DwKuTEm5h0YR7qokNB61abxhFd9Cmq8rAW2fVEUhkkJYD/Zj8h61zWHPmOJTvuY+YILWeRqIoYZRFVgGq7Nv1jBWSfF8HvP+JVehYzukfLmhV/fqGTzFKn8/2mSwrL3Llz21hKbrjhBoYPH87vfvc7HA4HQJv055IkoXRw8Tocji7vo6Nz8qLQA4NGn6FkcznrPzhIjUtm8pgkpvxyLJXbK2lPFZPTJhBbtIrSlYtJn33WCZWVQbPhwNJWRU3TKbHmWDzpt5JV+gCH1p8KPIOqgqQIWI418sWdNwNw+IUnePyFJyjOzofzr2feBr8SpKqguhBRUQQTVqWavXPOwCR1PPz2yMKiZ3DWCTd9IAR6lxSWmJgYRo8e3aosKiqKpKQkRo8ejdfrJT8/nxtvvJFHH32UpKQkPvzwQ77++ms++eSTwD5z587lkksu4eabtQv9ggsu4IEHHmDAgAGMGjWKzZs389hjj/F///d/YThEHZ3+hWwdSUr9e6iq2m99ELwOL4ue24GqwsRxyUz9hT/8QQeHY8gaBUWgbn4TTrTCElSw5oSDV4z8P9YljKa8VlNCHKYa1oyq44LKsYzLnEyRAr70bBAExgCfuhpJNUjYYizsdgoMUg8xNCaedY1WqqVUHD5PCApL6BYWRVFaPfQdWH4Ag8Ea4t46Ov2DsEa6NRqNfPbZZ9x1111ccMEF2O128vPzefnllznvvPMC9Q4ePEhlZWXg+7///W/uuecefvnLX1JeXk5mZiY33ngjf/rTn8Ipno5OvyA78RQM9f/lQM0ehiSOiLQ43XrK3/y//fhUuPznY0gbn9L5DkD6edfCul+SUfM+tQfuJj5/aDd67i5BjvI4ZXFKxhR8KZN4SlhCrU0bvwaPPY2zZ9/Qqp4iyzz81Vpm+Br5/fjRjF59gBGxSbxwyjncs30pz1eCErKfWOe/ftmanXz4nyOMGwUJAxIo3V7IjuqRZOfOJyeolbp/KsE6Oj1WWJYtW9bq+5AhQ3jvvfc63OfIkSOtvsfExPD4448HouXqRIZ++jB/0jElcxrrj4is23oT5UPuY0b27AhL1PUT49juatJjjCErK02U5N5KxpF/YV/3CfH5t3e5324jCLTndKuqSotqAocTm6fFJw6a3qapgoJjOC02htgsmEQJVJkosWWLIYZYEYRWmaKDobjdLHl+Mz5jJhv3AntdiEociGDwOUPtSUcnBCJ/LukTnDo6fYwESxyOAY9jVevZe2hhpMXpMg3ljZTXekgfGNPlfePO+TmyakCi+1mOu0dHFha1Va0jidsAEGVIiWqrkNU2asuak+PiOFBfDoLEQZe2zeD3KRn13R4ylqwl/Zst/Hpz8KSG2pRQx8pi2Yot1BgzmTlZ5ux5Bi67LoUbHj6VhPoDVCSPQ5Ejf5PROZnQkx/q6Ogcx8X583nDvpPU6lfwKT4MYv+5VIs2lKMCI8/J7fK+1R8/SbbgwzhwXOeVw0qwgdhfpraeVjmQvAkARYI6Tx3RtE54uKW2AbAyOMbG2IQUoAazoAUCvHHwJErc3yErCqIg8GFDBvsbnUElUmUZxdHYodQF28sRFDMjrpyFKabZZ2XQ6Dg2HkuhRpVJ6rAFHZ3+g25h0WmD/kzWN8hNPhUrTraWb42sIF18qCrdU41ZFIgbFNv1roxaqILkrxegnshov8HmQ/1lLeMSCaLALEWLFZNnkklNzGq1y8ZPP+SlXftJb6hmfEYaBsmAqHqwoJlY0qwxPD3pHJ475TyemXwuFrm8w+vNvXdvh2JXlbmI9lS2UlYABp8/RftgCh4vS0enP6IrLDo6fZQJaafgxcjeg481h1qPIKGGGagsdpAUb2oTqiAU0i6/jSq0cPb2Y8HjtfQKHSgsKK19WC4fWMXjOQ4u3ReP4biVPl+++SoHckcw3yoiiiL1HieKYCLLFt9R5+1usQwf3qHYtfUisVJbK4woaW0qcoe76+iETF8IKKorLDo6fRSr0Upl1FmkuddQ2lgWQUlCN7HIbh81jV5SBnTdfwXAEB2L4bInAXCVFXerje7R9hgF//Ao0FpRU9ECxdUejGPhDVfy5TP/AmDLV5+xefSpKILATyaPB2BDlRaBe2RsMsEQOroNSBKSzdah1Hafhdjotoqk6M/Ursq6xqITLnoWGSgc9J+JcR2d7yEDMi7Ge+BTGjx1ZJAeaXE6pf5YAx4VUgfFdbsNZ0MjcYDRbAyfYJ3RkYXleI3CHyBFNCp47E52fPM1ZYcOUHH0MHsv/yXjSg6TlzBZq+uPNCt1U6zOnml9GDEntFUOBUlTthQl8k/FOicJqhrxpaS6hUVHpw8Tb9X8JfaVr46wJKHh82hP9EZzd2/RYPDZARCiT6S7aAeB49qoDdqxXfaHe7jmgX8AUHH0ME6zlfKkdM7OzQnUTDBqFpJ6r6udftu3sARbaN1qT1VFEUSM0W0DxIlGv4VFV1h0TiJ0C4uOTh9mbMponjfNIq7kBdRhP4pw5NvOb35yoxcAY3T3rSPGBG36xH1oEwwd2e12migtPIrrP+cRhQNJkhBRkWUZUdQM3IKqYFUbMQGeO7QVP4IkYREUMEPxj2/D3XCHlp9HAf6hKWUJaUOwRaXx4yeeZ/fKZXwpaIrDBcObM9NLoqY4OBVvUNmuPWJkYnUsX29ch2IQUCURVRLAIHCNy4Zgc7R7XKrXB4KIaGo7jAuS1u+6b6rYvOxNmv526ojbGeko7MrPp6MDNKnW+pSQjo5OB2SmX4rl2K85UneYvPhBEZCgnamRYBg0q4TP1X3fCSlJs1Cojrput9ESo6+BdAo5aByBmDQIFQFZUZAkA4IoIAgS9YoTs6sSceduAKwTJoKgUuutRpmTh9EgIYgSqiACywCwRaUBEJ+WwbTLrubORYsZUlXC4JTm5LBHG7VjyLUFnyI7u8SFTTVQZTMi+VQktw9RVpFklSvqvJQmtP+jN5bVACB72v7WUZlJDE8sw9nYettRKY/61KjQfjgdnePQfVh0+gxyH1iJotOWYQl5HD0Gn229h5/O+C8mwwn07egipjhtWbLP3v0lyXUfPYpFNRI1MTz5hMwWzfJhnvZTss/4cYd113xzCXi8nPr7jwGIAlq6yzYe3UnBwWUYGjJb7bejsIj9McncGVXbqtwlazFWDtpblzdhUJ3Upzs562eXt9l27LZFDLQFn0oqXr6VRa8UgsFKbEZbZUgUReY+eHWb8qdu+hwhXldYdPonug+LToBKjxZdVJ/27lsMThxNQdz/MVxew5IjH0danA5prNZyMVtjTd1uw1CzB4Pgxb7py7DIJDRlLFZDWJYtSq2WMR/PG89dCoDsTqB8y34qth2gcudhntm4DZPHzY9P1eKfeGSFeo+TeWlDEBQH75Q3tNtmd5aLrnh1OxbVySU/ymDEtXO6sKeef0Onu+hTQjp9kIwTuTpDp1MEQeD6SX/gnW++wFn6PuRfGiFJOr+xJvrD8VcX2Mma1r1eon2HAZAPfAfc3L1GWuL3I1FDUlgE1A4UlhGyATc+0kqm49lUCmhuLUtnxKIYDJy39iMOCiMQFAeqaMOsVKOKiVT7aoO2J6gCCKErLJVrd7D2zS1USplMGFxH5rRuJMfUdRad7qCqET93dIVFJ0B7qzh1Is+qkm0kqcXUezoO1d4bdCVhX1SqjRiTSPH+WsZ0sz/fpa/Bu3NRYgZ0s4Xj8J/YQigKiyAidDA1Kk1MBY5hGjwCYVIcDYfK+a0tnupobSg9iKZAqKINk1yNImjlZiF4bqRQfQKcZVWs/ttH7K3PxKDGMMh2jEk/i5TiqqMTGXSFRacNusLStzhWX0Tt7isxA/aYMyMtTqekpVgpLW1/dUtnxI2ejP3dDHBWhkegLk0JCdqTZDs4ko8BMOiss5BMVjbu+YgNOZqXy5WxRdw4eAKZtjiKnXZGxo0HoNbTiEvOCy4aoHZgYVEUlfWPvs+2nSpuYzbDBziYcdvZmGPaLmUOFd3AotMd9FVCOn2KSHuA6wRnZ/kazHgYOvlb5kRnRFqcTskZncSBL49RX9BAbE73It42xo0numY9qqIgdCPEf0tEf/j8jqZ6mnDKItaaej656yGt4DhdInG2jM0pI5msqIqK4ajI5zv3kPqHGWQljw/UizdFBf18PILawTWnqhwqj2G7z0RmTBWzbx5N0tDM9uvr6PQqeqRbnT5EwPSvrxbqU9Q6SkjAQHZMVoTjsIRGgj/Kbf2x+m4rLOK4BSQsv4HKNUtInt4zq1KT062qdr7UektUFtM8e0n9/L1WuoqKgNXSyH9G/4wf7nuXqpzF1EdlkeSN58BlBiYk57TbZifStWvR9IoWZMnAxZcnkDVnXjfbP46OFCQdnT6OrrDo6PRxjIYojPjwyr4ILWn2Zy0OZUqF5mi3BlP3o90mn3YRLAcW3w89VFgUfwbAUJIxrho9i/fzprPi3kvabLv+vYf4IvFc9jSk8uQ7L2Ez/hyn4Gb8hFO7LZsQ+C+I3EYzsRYPWXMmBq/Qo051dLpK5KeE9GXNOgG64lypc+JIsGjRV0sc5RGSoGuDVGO5FnskKq378T4EScIlR5Eo7+h2G00EpoKE0Ia744+25FABi+ZfxdlRizCrTmKi61nngr1JBRTPchMfldBt2YSO0h9KEubUE5meQEenA/RcQjo6Ou3h8Dp5ecO9HKveAkCDpz6yAoWIvUYLdmaO7sCA24lWXLZhH7scZyIKKo4H5obkf9J5Z50PttpsaOt66++6n8EHt5FqKudFfkBRdh5vTj+NuXdcw2nnze+BXJDmSmRgYfBMzopPpar4xK8K09Hpq+gKi04AfVlz3+Kbwx+SXf8aA+pfASDFZImwRKFRcaiOGEnAGN99eVc+t4pS7xAAbN4NuJa/332BeuCT5fT4SN2zhZWjZgfKjpLLVe7wBLUDkOT2FSmzVZ+11+kbaFeRbmHR6SPoU9t9i5qqbygWBuMb8ChVGX8mLTb40tgTRajO2Ha7l/h4E4LY/TOqVonDIGTiGnWHVuBsP1Js5/jl7qI5W/H52PDRYuI8jaybpTkSR7sT+Wzfz5hf/C2VxRt6IJNGmaWaQ7kVQbeJkkBcSveXLwdD1a9ynW6jrxLS6YPoFpa+QZRrCxVRZ3N2flsH0BNKF2/0HrdMTFzHofk7OsdclbW4DHEk5xsQhw+GnX9HLd2Nd88qUEFVRS2mitDCaVUABAnBZAVTtBbdVhAQRBG1rsn3J9TjUFFVla/mXsTAskMUpA7ksuGLAMhTRuGcdDaxn/4cw3NzKbz2bbKHnMOukhrqXHVEW5tivhCIYNsko4CAKAgIgj9LtCCiqgJ4JOz1bqJjzSHK1zOELkTW1dFpJvLnja6w6ARoOh11s1vkURQFm1pHoq3/xd0wCAK+Hric+LzamSiJIMZo/h22o8/C0We71V60/91TUR3yPi6vQmJ1CZVJmQz59xMcqjoXAMvuj0ld/0GgXsy/f8i68/7OgmUp3ZLtv8Qy4ohE1YNrOXpFPqMm9fLfW1/WrNOP0RUWnQBNSQ/1IS3yFDccxYCPGGuYwtOfQAwGAa8neMyTUEzK6579BkGJJn3qMAy5Q/Fc+D7egv2aZUAQEFBAbLZkqCraf6oCPheCzwmqok1hKSpuRyNfFJUyTBgY8jEoqopR8eGafzHfbdrPctfFnKkWYhg0BYesgOzB7Wpg59aviP3NI3DBo5jNTm45K6lZKdDC2GqrgFQt5xCoKKoamF7b2yjjrk9g1Jb6gLOyjk6fpA+sEtIVFp0AgbUU/SA42cnOsdrdAGTGdyO5Xa/RuUlYkRXqnTI5Sd3zvXBVN7C/yEJ+bAlpk88CwDRxLqaJc7vVHoBcUsLeZ59lCKHHhVFUFaPsQzWZeGNvA7s4gzuvHYptzJBAHRswacHvWXPOTM5zrESOsnDzjHu7LF9ZcT3eLVuDOgdH3givo6PRnazi4Ua3/usEUPuEH7gOQKVDywScF5sVYUlaPFSFMF4VbizDIasMmpLWrb6KV2zHJ1kYMDV8DsaBgHFdWC0kOx1IqKT+53F2oUXrHTQ8t009qy2W7Mcf54GYV3hWfoyi3WvabfPo7g2s/dcP2PeXyax58sfU1/pzJQlNgflCFk9HJ0Loq4R0+giqPiXUJ/jq8BeIJY8DIMv9a5rAZ9eyEsdlR3dSMzhZc8YR5alg/dIwJT6EQC4iRQlBI2ha2u9yttkkGoNHGR4y8QwsPs16U7b0maB1dq5biu2tyxhYsxqHLZPR5Z9S8NxVPYwv0030C1ynW0R+lZCusOgEaBo6RX1KKGIUNhRRf/hPWGnETgxGqePVNr3BnpJvWLbn393a11XvAcBg6d5sszk2iomnRFFPPDV7jnWrjeNpmuJsP2tPW3yynXMvfpTSH54bWh/+9yHlX1B4aHerbZvXrWDAp9dQb0wh9lffMv43i9gz45+Mcqxny5cvN98EgokXdquLfm3rdJfImwB1HxadALLfxCLpY1pYqKhxsm1jkaYJtvhN1ZYK4XH3KnfZE5hTFeJHvc7I2EHYjOGNwxEKRbt/on0Yfkurcq/XhbGT4HV7VpcQI0JMTvcsLADWBBsAcphWtKhdUcD9f4gPv/gKiWzyf/x7eHwtAMf2HUVWVfKG5bbZzWKtA6BOjMP0yrmsm/A7TrngZ2z4+i2GrfotVaZsBty+FKM1FoDJZ13Npo0vkLrhHwgTLm/Zda+jX9463UZ3utXpKzRZzHWzW3jYuPQwo9dXdXGvyzk2dxKTMrqfUC/cGI0x4IGje1cyYuL57dbzuHyU1XmYMCE5pESD7eGscQA2bOmJ3W6jicK7VgBwljgOwdN2mud4NlRJgMQDBwZyTWYZOenNYfPPe2YdXtHARwvqGT5lbND9o3/2OUdev5Upm+/i4NanGS8XsivqFAb/5L8BZaUJefLPyP7up3z65jLGER+0PbG0kR2PrEf1x5zRMgdoNw2nvZ5jgh0v/hVRqtrshyb67TaCgKK4EC2NWONMoGZ3+hvo6AQlSNqKE42usOgEaLKw6FNC4UFVVKosAuPum+m/obTcGPgv8OYoLaJm4REGxWWcYEmbaWyRr8jta8RsiCI771TKd3Qe6bZiVxUKkDW6Zwn7RKtmxbEfKsI2aWiP2mpigJJMTXTX/EVuvXhWq+92k2b5ue+t9bx1nMLicsQjiQ7iMwYx/rcfs+27z5G++TObEi5g0s+fx2BsO7U34fRLqPjudwwobwDiGTCidU4hb0YUYrkDY71bK1Bb3y4SFCPFDSrlig8Q/FNfTa9mnzRFlhDEKGxJAlGppWTlD+/S76CjA31jlZCusHxPcfqcfHboMwRBwGqwYpEsbGrwYXDXsLzYzmZJRamqZmC1GZMtBqvVitFoQFBVLGYzUfHxRCXEY7O0iM7pX6evL4tuiyAIQR5OWhfUHd4GxGJNi9xT8I6C9wKfq+3HyOjCsuqaQ5qykzS0+9mLAWKykoAanJU9T/aouCogSkGU07AmdC7Xv4wLWaGM4YbLLyFtwJCgddaY0tuUyQljkOrWBr6PnXEuzOjY/8VgNHI0+3yyDtayLWYAZw+Ia7V95K0T293X1+im9C/rGDYjmouv6XjJ97uP3kDl0QpueOCTDuvp6HSObmHRiQBrS9Zy3+r72pQnAE+WaZ/veFcmZX9brdrlf7U32aEIAqKqUnMBlJ9rxYcRn2BERnspgglVMKEKRlTBhOzfdspBHzFlp3AoalJTzC0Ev6ukKoIiCqiigCAJqAYRDCKCQUAURURJQJK0d1UA/HVVERBEbZ5LFFAFrazlZScgBKZmBZrfg7iatCgTWjzLttgnsAWEqtBX+BR+tgiWJ+Cz1hCTPT3k/cLN/oI3yAAqFVuXlBWAumoXJgGsyT3zu/F5tJVGTb4sPULo2nLhSfFOJssryJrwtzbbxpjLcdVLmNUgQfEECUFQcH3xAqqiYJ51OWJM5wpS2qwbMBxahWAvCV1IoLJQy620rkahL0Xq0TmZifwqIV1h+Z7iVbwArLhyBSbJhNPn5FBjPV9WVDAx1oZFNFL7+qUUTxhA7u//gcPhxKfIoIDL7cZTX4+vthaPx4OvyRwtCCiqgqmqmIH/fQ3FEo8j4WJU1YOgehAUD5LqRVDcqKoHFA+oHiyqExEPjqQK6jNXMXDHTygVZzVPm6gqogqSAoKiIioqkqxi8qlIirZN264iNX1W6UKYsN7jaFxol5h3uxclqZDM689AlCIj+daCj8lQDgGaP1Ots5x4a2rISQ+rSh2YxJ5b2Lx2zdfEENVzh+OA3wehJW9Uaa2EOltE7C1wWzk72skyuxnZJyMZWvydrPEYXD4Ma24HoPHgaqJuebHT/nKGTeSoup5sfCiKEpLvj6Io7H5rD0OAEnPwiMI6OuFHnxLSiRCKqs3nG0QDNqMNm9FGkjWJU5KbA3Z9phpQ46wMHjOqS20fWngbLlFl4i9fYWZGcLN6MDx1dWxd/gtKxj7N0LiB5Ey+vEv9Ho+q+OO2KyqKrIACiqyFRVdbuY80z86qLV6BLSptt6tqi/1b3hSb6mglk6I6T2jndTZiqE1CmVKONaV7AdfCwda9fyFLBGfsOaTWf8HilbM597S1ne/oR3H5sNl6PqQ0FNUAMcTmRc6XpwmvP07KCGMZu71pXDArl7eXVvG/V7/gqhvmB+rZfvk8nu0/ANHIB2//k/E+E8NC7CNa3IYkX0X5vzaTevN4RGPHCuuB3ZUMcar8HSeDrPr0q84JJMKnm74g5HuKGnCwbf8UkGQV2gmW1RFyUQVymoCtC8oKgCkujknnvUqcazoHqu+lvnB35zt1gCAKCJKIYJSQLEYkmxFjjAlTrBlznPayxJmxxFmw+l+2OAtRcRai/a+YOCsx8VZi/a+4eCvx8VYSEmwkJNhI9L+S/K/kRBspiTZSE6NITYzCYu78Bl67ZzOCKhE3ZmSPjrcneH0uYtUaKoyjOX/yk6QOeZQ40csH634cchtOl0xUVNfPl+OJG6g5n1ZuPdjjtoAehZCNtRg58vB8ZiU3Eic4mHHmVGb7SvnzDier3vsyUE8wmjBNPJNtnjR+p/6M51zjQ+4jJno3NnEJvjIH1a91fs4X7dOSOK7AF1L7fSAFjM7JgHq8/fHEo1tYvqc0WVg6Mt9LPhXV0I3pCasRoZsBWkVJYuzsJ1i74gI27byKcb5XSMgd173G+gkNW48imRKJzYuc78p3B54hRlLIHnA9AGNyLmFXwXtkuFazfPd1WnD6Tu56dpeP7IExPZZl4Blj4au1FKw+QPq0rln3gtNFheW46h6XHUfMBk43pyMIV7DwT1dx1R/f5pr1VpJXvsm1iS5u/f11iJKEwacFznuvLoeYfz+HooKsgOKqQxbNyIjIqoiMgCzDcLmCm3wHiUpKxK3Mx7WvBsWnIBqCP0j4vApD1lbgQKW6D5jodb4/9IVVQrqF5XuK4o9r25GFxSCrqJ2Yp49HVVXc+/ZCXOdTIe1hioln8oy3keRYdu+8s9vt9BekQ4kow+oi5rsCUFq1CoAJORcGyi6d+gIAMUpBp/urqopHAVtszyPzmhNiiPVVUXqwtsdtAa3n67pBw6E3mJO7kguHvktVfSWxsVG88afLuNJcxRiLl381prL4y3UADGwxjbW63Mj6CgNbq0V2OeLZ32DgqMtKsdtEpVtiR2MsLzWOQDbnwdBziJ6eBSo4d7SflmDLN0cAODyuKyuxIn+j0TkZ0C0sOhEiMCXUgc4q+bo+JVS7bTHShlqi7r66R/JZ4zLJjr2eQ54H8XkdGIxhWDHSR1HMTlRfaOb93sLtLqVGsSKJzUqTUTKTMeoVSnZe1+n+pdu0m6zZGh6ly4ITJ+FZJST0cJxVPbWBz7KiObnGJ8fxyP3XoXi9nHrH//hidSVnnTcNU1QUAH8ZLPPDn97QYbuPvbCRV/aXYfr9Mq0fv4Km1Lnb3cezrpS9ksJplw6Hrcf0EAI6J5RIrxLSLSzfU0KZEjLIXZ8Sqv72I1QDZF756x7JB2BLGASAvWh/j9vq08TJKDWRW+1R76ogTS1CjGkbXXdk2gyq5c5X69hLGwHImtw2RklXUWSFaiGFtLRwDU+acu5xuHHU23E6nLhcLhwOB7uq66hwOGlwe3D4fM1O2LKPxsZGamsKO2xZNBq5MNHLR+4EdmzczdZNewEYkZcaolTNSPGaVdLj/y2PZ8vKAgbYZZiYqvuk6Hwv6dGI8PDDDyMIArfddlugrLS0lB/+8Iekp6cTFRXFxIkTee+999pvxE9RURE/+MEPSEpKwmq1MmbMGDZs2NAT8XQ6oElh6XhKCDB1zcLi3robJc+CwdJzX4bYLM1/oa58e4/b6ssINhWxMXIWpKLaHRgFyEo5Peh2yar5EHnkhnbbaMqE7KjqPPx9Z1TvOoLPYCV9SHLnlUNBVVBRiVvrofrBzVT9eQPl962j/M/r4LFtvPrSVoas2sWgFTvYZEkgy7mbFfedzrzH3mL9ptPZWv1sh83fcuN8omU3z/xvNZs2H8AoexkzPRS/K7XV86oxyYpgM+DaGTzCUdWqIpyozLlkWMhLzf3dRNqSr3MSoPYB7+1uTwmtX7+eZ599lrFjW4eovu6666itrWXRokUkJyfzxhtvsGDBAjZs2MCECROCtlVTU8OMGTOYM2cOn3/+OSkpKezfv5+EECJT6nSPQM6RDkayaKeKszz0aKOqqqLuKkM8Lben4gFgjU9FUAy46krD0l5fRXZ6EWyR818prt0DQIwl+JLq1LgZuCvWUOFaCwSf6iveXQOAFMKqqM7Yt2gjqAlkzhzd47YARNWLelkGzspGVFkFWUVQVAQFjh1xc0mhl9o8I3FJIhXDrmd57kwe3BdPlLsRUVBJNFxGpa8OkcVB249LS+YMs50PlDQ+KYOhcjVmW+dWqWA6R9TkNOzLi3DurMQ6qllh++qNHYys9gJCj/I06ej0jH6osNjtdq699lqef/55/vrXv7batmrVKp5++mmmTJkCwB//+Ef++c9/snHjxnYVlkceeYScnBxeeumlQFleXl7QujrhQVZlf4TXjk/AmF2dO1w2UbtzKWKNTMyU03soXTM2z1CqlK/xuX6OwdL9DMB9GkEhku5kWQljKSqG2sbDQbfHRqWx6LBEqmF1u21YojVLXFR6zyxFsqyw7Ug0uVElxOTM61FbQOCJMOeU4Evsk+tdbHpqE1evcpD3p2lYTNoYddOBZaSxDQBL3g9Qy3dDXXCFBeDa+ZOo/WgjaVFGLpob+nL+4y+/2DkDsK8oovq9/WT5FZYj+6sYsq2agzaRYTeMCbntJnSXW53wEPkzqVuq+k033cT8+fOZN6/tgDJ9+nTefvttqqurURSFt956C5fLxemnn95ue4sWLWLy5MlcccUVpKamMmHCBJ5//vkOZXC73dTX17d66YSO2iKza3u4jFBzWugDZOnLT6BEQ/q5P++peAFysn6M03KYFcunsu3TO6jc/13Y2u4rSHFGxNpoZK8nIv0PTp6MT4Wyuh1Bt0dFZ/B2jRm3Wt3uVITq1aYYbUmWHsmy/C/vI0tmhs8c0KN2mlFRPCYqX/oS2d52uio+1kLGZUOJ8cH27WWB8pRYM4GnyRCmXybPGMtLf7uBh+/9AdPO7H6mbdFqwDYpDdXhw32kjsLDNRhe2EWtCGNumkh6Tlznjejo9AqRD83fZYXlrbfeYtOmTTz00ENBt7/zzjt4vV6SkpIwm83ceOONfPDBB+Tn57fb5qFDh3j66acZMmQIX375Jb/4xS/41a9+xcsvv9zuPg899BBxcXGBV05OTlcP5XtNlau9TEDNuMwCss8bcpvKygOIc4dhsIbPEpI17mIm5r6J1TWYamkJWwuuo2jLB2Frvy8Qf8ooDO5YKjZ+Gyg79MarHH7gA2Rn+ytGwoVRMtOgmLA3Hgq+3Rgb+FxZEtwKY7RIWh4lsfsDmru6nj3FMeRZi8m7dFbnO4SAaPEhmFJx7bVR+9GqoHWGDU6kzCZStbN5ObGmsLSkd54ug/1asWflAlC/+Bi7P9Qczs2X5JOY1E3rVeRdD3R0wkKXFJaCggJuvfVWXn/9dSyW4E9S99xzD7W1tSxevJgNGzZw++23s2DBArZvb99xUlEUJk6cyIMPPsiECRP42c9+xk9/+lOeeeaZdve5++67qaurC7wKCkKfutCBJEsSktCx34TPIKK4QnOidNeWIdYoWEeFx++gJQn5kzj1wkXMnrsOq2MIBcWd52jpT8QNGY0ntgzHxuYbprQrFWNDMoUfLOq1fj/c+BveXzyMOkcZCZIHwRc8/kfLp6qywi1B6/i8CpLQBYUlyP1/ywtLUASJqT+eETY/jawHFpB+1yTtizf4SixRFKnMspFwzI7iD8VfY/c0p29oaWEJ452/PWuVIdaElGDGfbiOrHIX2zLMjDwls/sd6cqKTljoZ1NCGzdupLy8nIkTJ2IwGDAYDHz77bc88cQTGAwGDh48yMKFC3nxxReZO3cu48aN495772Xy5Mk8+eST7babkZHByJGtw5KPGDGCY8eOtbuP2WwmNja21UsnvPiMIoo7tCf8ul2adSBmePfN4Z0hGg1kJ/+IRssu6gp39lo/JxpBEDCMBWNhBs6yUmS3C1HWArBJ29Jxlnctk28oeBUv9sqPiBN9LPluJgAZQkW78jVRURHcSlFX5sBqFLsdF8TndLF1r4EBphKSRofXf61JiepoZU3S+FSy7ArLvjmMR1Y4XNKAxdr7fkXt/Voxs7NRZYVYVcDeg9QCOjrhoi+sEuqSwjJ37ly2b9/Oli1bAq/Jkydz7bXXsmXLFhwOh9bocU9HkiQFnlyCMWPGDPbu3duqbN++fQwcOLAr4umEG0lECdGvwlel3exMadm9KRGZEy5EUIyU7/+y88r9iNTZs1EFmYrlq6neuwFBNWC4TMtvULV9fdj7MwgGSr3adRon+a0Ktpnt1NYGKUWx4VE2tbnxu+o9FJY6MBpDGE6axrvj2ihaux+vIYqx5w0N+RhCxj/IOrY2UPSHN4OORRMnZLA1P4pBi4u55Onv8NZ6GJeXpImKis8v7u+/2cv/fbyN//t4Gz/+ZDu/+nIXda7Qp01b0pEeEj0tE+OwRAA+Lq3tVvvNHfVsdx0djcivj++SwhITE8Po0aNbvaKiokhKSmL06NEMHz6c/Px8brzxRtatW8fBgwf5xz/+wddff83FF18caGfu3LksXLgw8P3Xv/41a9as4cEHH+TAgQO88cYbPPfcc9x0001hO1CdriMIAj41tIBmFfVLAZDk3n0qNZijsHgG0ODoWWLEvoYlNhXvyAKEjYm431DxmetJnXA63sQy3LvC71AuCALXznwPb4ubmSoED6sv+GP1WE0jMUQdZcmHd+Br4dtUuqUctwojRid1W56KzzULXdLQHkx9tIMYG4VgLAJAlbORa+xt64gip1wxAoMKAwqdiBaJi4Y1B3+rEzUlZ/XmUpauKWTpmkKWrCpg0TeHeXVncdhlBki/YTTvDLGxFp+2HFtHJ6L0Q6fbjjAajXz22WekpKRwwQUXMHbsWF555RVefvllzjvvvEC9gwcPUlnZPF9+yimn8MEHH/Dmm28yevRo/vKXv/D4449z7bXXhlM8nePo7OQTEEJ+OItJ1nxXPPXBpxXCSYxhPDXWpZTv/qbX+zqR5F55LeqUKjyJJST8KBfRYMQ42oypOIu6gl1h7y8jfgzu2DMD323m4HFYmp6q0rOmEm++FWI+YuXXN7XI+K1tzzilvf3bNNUGU6K2+sVZXhOa8F1AFEWy/nIVURPiOpQhNc7KtniJKzFx1yWjEPyWYlWFxFjNZ2/pnXM48sB5HHngPD68VbNI+ZTuKROh7JWZYsMDNNZ2M5toyD3p6HSCCv3KwhKMZcuW8fjjjwe+DxkyhPfee4+ysjIaGxvZunUrP/zhD1vtc+TIEe67775WZeeffz7bt2/H5XKxe/dufvrTn/ZUNJ0e0pVhLi5zGgANxzb1jjAtGDbjDwDsKArf8um+gGQ0MuDSSxl05wLiBmlRflNPn42gGrDvDb46p6fMHPFHPArURJ3O/PF/DVqnpWI7acaviBHuRjYvYdNKzSk+JlULktZQ5ui2HLnXaUkXSzcHX6kULnzIOO0OGuvtNNTV4/P68Pl82rvHhztGJF1QuWpYaqupr2DXQtPEUk+m9Tt7aBiRqwXPnP/oMpYsOdS1CLc6OuGmv0a61fk+EPrgmDDqLEpSDdi/WQoX/qYXZQJTVBxJjnOosn2B21GO2dZ53pb+iskWhyJ6URzhtzwAJEVnU2scjLX+W/ZXbGRIyqQ2dZocaZvSOUw54waWfryeavNC3M7rkQzac4/b3j1fDoCY9Fgk2UVdVffb6Izvqg+zyVIMLy5rt86IkcsoGlFAUQvfYkky0OTEEmy8/vcX+3hq8QFUVM0vRW128FVVUBUVVdEi7KpNhQA+tVO/n3Fj03lsrcRLB+HHX+8m6+tdeFQ7HlUEMSpg3eoUfaWQTg9R+4APi66w6HRIqKenKIowKB7laOfxXcJB3uhbqDr0BRX7l5E9bsEJ6TMSKIoCog+8vXepXjDlvyz97jQ27bmPISkft9kuHGeIFQSBEeN+yu6DX7Fv+yf4dmgr/AZMz+i2DIIgYPC5kMXgfjThQLAoUAdnjZyBLSoGu6sRo2TQTCUC+BQ7roRXqXcOREy4ClWVMRqjGJY1iqOH9jW1EmhvbHI0Y8el0uD0IQggCQKiCCICgiggCtp0mSQKGCQRgyQiiVqZABysaqTG0rmRe2x2NE8dVFiOm5WmRrw2sBoFoi0erpg3vdP9daOMTniI/ImkKyzfU0I3LYeuUYtxNpTS8u4J1EViBw7DvGMA5a6vTmqF5dir/8Pgy8QyMPzOqE1EWzOpN48lzr2VkvoDZMQeH+QxsLQnUJI5cCLbtmVR3rgY5+EsEm0GYlJ6FpZfFBR8jb0X7TctJhrKYMK8SVgTE9tsLyj4kn37ISt1KlNO+VmrbU1H3vJqMEgii64+pdvy/HXpHv7n6TzOkS02HoUa5i0YyLUTe2EVlY5OSKgRN9TpWbS+z4T57BMkA8jtL18Pa1+CgEXIwcmRE9JfJFB9CobdmThz9pI6eXav9nXWuIcRgG82tfULai+2SqzlXFTrN5R5DhAd07Ws3sEQUZFPwGqY9npITNTyn6lKzzON90iQ4wlkCOj+bxPpG43OSYAa+SkhXWHRCRuqoCCoAmvKtrO2PPyrWlridlRTb9pAgnlGr/YTbhwOO99+8SkNDXWd1vXUaHWiJnd/qiVUUmOH4IybT5pymK0FHwWtc3zuqVNOvw1BlMk9+36yh/Q8cKOIjOzrPYUlMNS2c+OPikrA7Y7C4Shrs61pl3AO16EO/5FeSqqjA/7rvz8FjtP5/tGV89O39ShCiZuLd8lctLN3E/lV7l2GKrkZMOK6Xu0nnOzbt5MjD6xg8LJYNj/9JY2NbeOBtKShUIs1Y0sNVyLAjrlwwkNUyDYO7rmTyobmVUntnQJGozXw2efpuWUt2qpQWxta3J/u0XkyQ0VJwO0u6qyFE4vYudwdEvkHY52TgsifSLrCotMJnZ+gB/fsp6amFmOhitCb95sWOBqPIPgsRKUPOjEdhoGCxTuIlaPZmn2YQdUZrP7oiw7ru0oqUQUfMTlDToh8ZoONaRNfwSr4+HbXg222B7tdeuoGUXtoJlGxPcvSDJCcbqJeaOtbEjZCGGslMRVZ6f1YQl2iSe5uxnvR0QkXkbb26QrL95TjzftB67RT5evX3mLR3/6Jx+3hu0+/xHPxhay/8hr2Th1JYUp6oF5pY+8N/B53JQZvbI+yA58onE4HDmcjglPhYFIx82++Dofo6tTB1FvWiC+6BsnQc2UgVAYmTaBBNeFyt8xf1P5vLIlxSOaGsNxLoxMs+AxWPPbQEm52l458QczmLESxuu0+/vfu5krqCZG+SejoALoPi05k6c5AuGnlarL/ej9DXnyOr558FvvTTwOQc+ww1Y1m3CYTkw2FAHxb2nt+LE5nESaSe639cFFYdIQDD37DoQe+RTRIxNq1aZTCATUMPpRKeW1bf4kAEgg+QyD3zbJdD/Pu4lEcq97SqzLL5kFY3PvwyscpVEFu9Ko7HVN0OVEpPVeqYrO0IGm1e3sn83oo53tU9ABMJgcOx/HpEMJv3Qi5xR463Wq76dYZnZ6h+7Do9HHa5o4o2bg58Hnwc08x4MBejv7q1wBM3LeTpLoaNvi0BIhbCz/DK/t6RTK3WIhV6HvTQR6vm4rKUhRFoba2Cv5dQII3lnhfDPklGThNmhIw5LzJWFUzh9Zvb7ctU04iBmcCixafy6vL5iGXPk+C6GJX4aJePYac9HOJl2SOBhSjJo/TtoOVtzEGydxATHpUj/tNGamdNxV7SnvcVlDaSbzYkvh4bUl3eXnrXFVNFslwWlhUQAhFj+ipD4uOTljQLSw6/YyBs2ei+AftwtzBHPi/n3HWz39CSc5AzB4P8fYGLlixmDz7MWbLH7K5fHMnLXYN2eumsfwYstiIQTxBy0+7wJp/LcL96H6+/vcb1FZqUws7Rhayf5Q2PVY/UFPgcgYMoiCqjMad7U+b2eM0i0O0s4Fk32EqbbPwqeD09G6sm4zY4QAU1WoWsmAxSJqQFTeqbMJk7XlIp5jBWRh8Tkq3946FJRSSk4YBUFNzIOj2SA7XPQrLr88q6fSYyMdh0QPHfU/w+RopL/+MuLgJOJ3aDcGn+Lhn8ZXMGXAOZwy9IaR2Rk8YyxfDR2FstDP3048QJQkA11VXw98fBmBASRGZQ2wYo3zUumvDdgyKLLPhq2uxWzeDCSQ5OmxthwNZkUmpiaHCXMPwkhxcLx3GgJX4AWlMmX06ZccKOCNdi/Xh83iJ9lixW4KHovd6PJSvKCCPVAZPeJmk1GTcnio2rz8bpZcv2wHJM9gmi7gKnqY2+9zAjTLYlIoqO1B8Zry+nq8SEg0GcuLqOVQRxWlODwZr70S97ejGHx+fh6JI1DccN53ZG8YNVQ1JkYiE34yOzvGoug+LzolAVWV27rqd3XvuYs3as9m67SeoqoqKyodFu7ht9T/YV7YSgCpHOUUNR1GU1st9Kisq+ehHP+brc85n4O4dNPzguoCyAjDvuubM2ikmgZsuvAqA+tp1YTuOos3vacqKn6i4gWFrOxxUlJUQI0fhmRNN7eUWitKqKbJVkDt8GKIokpE7EJPFDMCePdtI8MaSPuX4qLLgaLSz+smPyCtJZd/AEvIGDCHWksDKff9GBWYOu61Xj8NosCKlXEMqlXy69upAuc/XdnrPHOND8VnYv7z9pcBdYeIlo/AYY9nx5sqwtNeKEG78kmTC7c7F4ViBw9E24WTY47CEogg1yd1dpUmfStIJC5H3YdEtLCc5qiqzb/8DVFYublUuK83p6g0C/GzJzcQZTBxyais0EiT4g+xD9Ssu3/32d+SvW43oH/wmzWkdedVkNHDwh9djXbqUC/5wN6lRiVQLGZir/wf8ISzHUlWxDLMykBHDHqCq4DsyJ1wWlnbDRXJSGoUcoL6qhqmnnwGTp7ZbNykxFZkj1BVWwsTm8sUv/4/hu9MZRDqHznZwxpzmtANOTyWSKpEWk9uLR6Fx4fj7eX99FSn1n3OofCsA+/atggnHVZTcKD4z5k6S+IVK+syxJL34Muu+SyAqdgVDLp8VlnYhdGXDZBqOJH3K6jXzOG32FgyGGMo8PnIBbwRv/nqmZp1IE+kVa7rCchLj9dayes2ZeL3VZGRcgddbTWXlUkClrKw5yd01uafwWeFmQOWOURcQbYxhZckGfOIuhiw9wEfXXMfQTespvuc+4tNScft8jMjJatPf+X/4HfzhdwDsqthBolrCMcMkChuK+GrL75DwMHvsP8iLy+nW8TjVo9jUPJLyp5GUP61bbfQmBpORKnMdUk3n0yMZ2Tl8lbGczPUJuM9yYbZYKD1WwNDdqezOKSBj5jBmj2t9s5aVE5P2oImzxv6ZpSu+oODYQgCiovZQXLyVzMxxzTL5ZARRITEnfP5E5/x+Hp89spyVn7kZdL4HydL51NCRDYX4qquxWARUWUHxKaiyD0VWUXw+JKMB1R/2X+3kd2xsrCLWH7hXFDVn4gKXh1zAFwGlIfBQ2xMXFn1WSScs6AqLTi9w6PC/OXz4cQBstjwG5NxAdLTmUFhe/gUvf/trwICASpQpnqXXbGm1/6Xj4KKihzlz6U7mblzP/omncP5Vl7eaBuoIh6z5ZuTm/IilW+8k0bsLEYUlO/7MT2Y83+XjUVUVl6GAeLXvKSotEUWRRtkRUt38C09BfLaYtU99jJpoIOGgCckgMmbB6aSntE12aJIkVPUEReYDos2JNFqnkOlcS5RoRVVEdu9+kczMfzVXcudgztiOTw6fXPH5Wcz+4Wg+eqOCXa8uYcxPz+10n0//s6/TOgPiCsHaaTUmTriNxUseIjd3K42Ne4iJGcnkWBvUg1UK7yx6SMN/DzUW3S6jEx50HxadXqKo6DUABgz4CdNOXRxQVgBSU8/BJSYBmt/3nLzLg7ZRMng8e351Mbz+Jme/+FzIygrAgNg8AMqOPkaWZw1q1u9wJP2QTPdK6l2d59E5Hpe9FMXQSHRMW5+PvoRH8mHwhXZZDcobyrE5TrIqEkneb6EyoYG4X44MqqwASFIs0RJ8teXOcIrcIaeNvg9RgMk2H432JFzu1qu+0tInIpkcVFUfC2u/2bPHkCCXsXN9bcj7xAs1XHhFPBddmcgl1yRz6XVpXP5/mVzxf+kIipeDjdrvuuij5fz7kRcoK6wK2k5ych4Wi5Y2Yf2G46Yd1cgN2PqMkE4k6QtTkrrCcpJiMqWSlXUNQ/LvDrr9pfM/5vpBM/j9uCsZnhY8gaCCwG63kRGTxmO2dC0wWKotnvLkX6Egcsx8OufnX8HEnIsw42FN8fIuH0/Zns8BiE4f0eV9exNVVdm1cRPL//4/Vj/2IVn2ZCQ1dMVu9tnnkn7PVIbdfyZn3H4V2ZntOxJfOPExDpKPVP0e32z/UzjE75TMuKEc8SVyZqwXQU3AZCrBbm9eip2QkwrA1rXHcNa4+fDulRSsLg5L30NHWKgS0yj5rv1YNU3EeCtItLrImTuR7DnjyZw9lozpo0ibMpzUKSOZOcmHKmjD3f7S3VQ5C3jvzY+DtrVp0yfU1GjKjar2Xk6skJM1iz11uu3mfjo6rYi8062usJxkKIqP4pJ3kSQrbnf78TqizAn8ZtYzXD3+j+3WcatGzCEtYwjO1WNv5ZrTv+aGGS9glCTy4wfjwkKd/WCX2yor/wSDJ56Y7KHdlidc1DRUs3rlUg4d3Mu3iz8n9n+NDKpKJ6dcs1pJObYutRdli8Zg6Hx21mSwcP1pWtA4peJ1HO62IeR7gxE5txEtgbnehqJIrF59a2Cb01GO7LbhdSTw8t3fUVTj4du3Op+eCYVRP5qLzVfL+69W8OqP38JRUdtuXQG1VbqJgv07ePfxV3jnH6+wa90Kxt44n1GpmkP5aZPPZNTAUyi3H6WqvG2bmzZXUVmRS1WV5qfl9XbdIhgSoa1qJpSkjTo6vU/k47DoCstJRnHx2+ze/Tvq6jYiSSFM2HfAEFMdUg8UluMRRZFaIQVvqzw1oaEqXiy+ARhMPTumcLDpxS/J+cSI6fly8pfEoKBQeq6K+pNMzLfmM+eCC3uv76PvAuBWBAzSickxlJcxVvvgjeLgwVMQpbUcPvw1AAX71lG970xU2UKTF0udW6Fia8/zSFmTYrnyoTMYFXWIemMqDe1M4YB2S1db+NLuXruDsn3pVB1OYs8abXnyWff8mD/d8yfmnD+D08+dDoLKhpWtrTe7DxVSU90AQGysdgyK0mxliYjKELhL6IHjdCKJ7sOiE2aOFfwn8Dk+fkqP2lJUATHMQ7RbSsHr6VrodUVREEQTXuHEWBQ64sjB/eSXZLJ/ZAXlF4sUnuEh9rejmXzabHLyB5OSkYEo9t5ldfjwP6mWjcw7fRsmQ9csOT1FyIHyskE0NsazafO9+HwePN46qnafD8D5Vw9lwe0TkATYv6rrSmkwbCnxDL9Cm7JsLOggwu9xirWqgNFix5pQ18qMLfqdZlPSEzARxZEjR1vt9+bHX6Gq4DQnYbfn4HIlYDan9Mo4HfnhX0cndFQ18lNC+iqhkwxF8RAdPRxRtJKW2vnqio6QCf8JIhniUL1VeGUvn+9/i9l5FxNvbn9JrKqq7F5yL3brFoZE/zXM0nSd/Us2kmGIZfqV52E2n7gsygD7K7fzXa0dryqwbvHVSIKI6H9JooiIiFJXzyxTCibRgIAEgoAgSAiCiCAYEDAgCEbts2Dwb5MQBAFBlBAQEUQRQRBBFBGQqJc1S8OE4RNw5A3iwIpCRo9axmefX4A5NhlSt+KrzmfgaVouoHirgYoie4fHIssqsldBCiF+S+LoPKCE2qOV7dYRaD1joraKyhZc6U6MSaW6vlkJ+mTFBsSaYzgxYIyKY0DORTTYH6OquutTmOFE0HMJ6fQZdIVFJ5yoKinJZzFo0K2d1+0ERYUwr+JEMQ0k2bWetzf9iYyGd/im+AlGj3+FIYnBnWmPrXmVUukNspT/Y8CUq4PWOVEoikJaQQyleQ2MPsHKCsCaktV8azdiEyHRV4CiqigQeK/0apMy6dGHyDMBgup/IFK1z6L/JagILf+uqv/VSZiXhqpGLpw5n+XGGDYvFhk5ahlusQRvYhS1Yh0+37kYDAayB0SzfU8tjdUuohJb/06iQetY+PwwxZ8dwq2CD/8wKLQOTNVUpggCJgHsdcHTGGjVVI66M9n7zgqGLZiFqoDgV1hK9ybz3O3v03KwTR1iJyMrg9LdR2iodfDW0lUUbVtJvTERg+wGYPDg89my9TG2rL8AExIY4dfvf44sm1FUUFDxIeCSJFySAV9GJl6LBY+i4lXVQB0V7Vpq8rFRVJBVlQaDQpZHpfTRDaCqzfqIqjbrWCrIdZo8S158BtfbLk2ZFLSQ/dpL9Cs1/u9+C5+meArUltVhTnKwZu25JCScyrCh93b8h9bRCUrbZLgnGl1hOclQVA+iaA5PWwiIQniDlWUmTcdQ/18sDf9jv2Eaeb71bDj2absKi8+tPakPmPCjsMrRHUpLCkn0xuLK73lm4u6Q7l8qfvnw67jjlDvabP9myyf8auvdjB+6kGlj5nbYlqrKKIoXRfaiKDKqqqAqPhRFe1cVBVnxgapwuHQ/v9h8B3cOTAdg1shZfPrxp4i7ZzFqxDJ+7H2XpczBYXcSGx/D4FPT2bqnlrLtlQzyW12aiB8ST930TBSHTwvwZvciNgV0U9WA7qR9B6XRS1yNC6sIjsr6do9nyvm5fPmFi/I9pQyjycKicMr5WRTsKUK7mWtKQ9EeJ9UFUZwxewSb96xi+WvfUKJqVqRbf/IDnnzuJSaWy9j3+aNBG91I1dHstY6nHBuCJCIK2ny6BMQqMglHDhFnNhA/ejRmUcAoCkj+PgVAbPFZACRBwFfQQO72SiwjUzXFsllr02hxbyg5vJchE2b7V1WrqIr2S6mq/+UPhqe9a9ubtqXkpRGVVYkoHqKq6tsOzwsdnfaJ/CSmrrCcZHi9NWFrq0y2Ei81hq09gDk5s3mn7pcMTT+Dq5NGsnrFWCzG9n0xUoeczZG9/2Df2ocYf96TYZWlq1QXlREPJA3MiEj/cwfMJcGcwKu7XmVKxhROyz6t1faiGi2p5YDkvE7bEgQJSZKQQnDcjXa5aVSEwPy1IAhcdvllfPLaJxh8KjGNMhexmC8Wr+Kcy8/GlqElpZSdbXMPiaJI3oWDO+2zibKNZXj/t48oyUVZffsO1/kXT2fpJx8HrBSKIiCICqOmnsao4zIkfPT0q1QVwMDhWVg98Wwr3YnDZsVlSGBgWiIJPpUpvnwcHxeinBaDaGxg6rTXmZs1ml+20/++mbNIjL+W5EvODvnYGJAKM0L7LeLIDb3ddjhw4BHKK77scTs630/6gg+L7nR7ElJWHjy+RFcpVlNpUMKr05oMRn4w/jdMSZ/AsbojGPGRHtv+UmVb0gBMzgyqLF9QV7gzrLJ0ldp6TRlMik+JSP+iIPLKua8AcP+q+9tsP1CxF6NPJCM1vEkhgwWMmpI/hYYYB+41IwNllVtfBEDw+6WovvD5XERHgUvsgmVLbZ4SOh5FAY/LwvLPNhPvGYRbcmHxVDHKGcfHz20i0X/OmxQJnyOb2sPR1BzuPBaMjs7JTeR9qHSF5SQkMTE8CeMEVWFWXO9p1JX2AwCkxLT/lClZjJw65zME2cjhrZG1sDSW1tAoOYmLS4iYDOtK16GiEmVse/Pe33CIDHdclyISh4RfYRFbmINlRWW96SDfGJt/i9Fo0W616QrCOrqEdBaqzRNKqgK0M51ZXe9DdsSy49M6fPZoEqomMNSdxznyICYcasSiahYiAxLJW0/jyFc5fPzcW2E5Dh2d/kykfVh0heUkQxAMWK0DwtKWQfAh9eIJ6vBoAbk2Fa/osJ7RFkucYxpV5q+pLdncYd3eRKpTqbLWI0TQLLpw80JMool3zn+nzbZqXy3JxvArU4GAbMcdd7XJzrYEY+C7wZVFdXFlWM+YZutOCPPnAoGHQFWVENpRWApcR6lKWcPVf57MFXeMoT5xK9mnZJH90CwKEo3kmIYGesw8+yIAnG4ZnyO0HFE6Oicnkfdh0RUWnQ7pzXvzWYOv4JhpOpQ912E9RZYZe8bjGLzxHNz8rw7r9iaiU8Vp6r1Q7Z1xsPYgNe4a5g2ch9XY1p+jnkaSLEm91n/LU0ESBeLN8ThsAqViOh5F4phnDO8+soz3/rUYgE9ff4wjS9aHpW97vYwZV8fytbRYqyIIwRMyJiaBInlITI0lJS+ZFGMMe/fuRRAEGiwiQx1+Xx2jSNa05unKyh3Bp4XkujrkykrkmtouHZOOTv8i8j4sutOtTsQwSkbMMROxVbVvNWko3sv6nRejSh4wQy0r8HkcGEwnNmgagGIFW43phPfbxEs7XgLg4vyL22yrKiqg0ehFcod3VRfQPHV93GAVbYyjxlVL+p/2cu8vbiHRGYXBkojX3VQf3n/uL5xrv5Vjm7cw5UcLSMjL6ZYIyUYrDc5tfHrzz5Gk1nII/pU1PuEcDlRC8YMvYq8zIxraOv0CJCVBfb2bF1/8PdOnz2XUiJEs3rGSP7x0OyPs2SSbp+BqkKlxyBx7ZhsWUzQujx1VCa4AlT30cLeOKTJE3g9Bp3+iGTt1hUUn3IQpwNSJyBxhMsRixo3dXUu0Ob7N9saaw6iSh2x+jsmSgMmWGhFlBSB6UDLZ31r47osvmXFOF1aDhIEbv76RVcWrsBqsTE6b3Ga7LTaOpDoTq0xbqbfXEhsdH7a+lUDM+9bnQ4olgxKXljfIkJqNZ986MocOprFOwe3wct4tP2fFswv57I1/AmBfWM1l/3igS33HDojlmEEkWrBT3riG8kawycdFtW2KqxZdjMOTSeNhI+YYN2lDg1vD8vOHU1W1icJCE1u3fkdG3myEHQLLfevYmLyVX1ZPpahMRgGObKnEI5sBO4rSVhlUvV7qP/+c+KuvIvW3v+nSsUUGPbauTnfR47DohJ3+NSDlp0ylqkxhS9lGZg5oGztEVjS/gQEjr8WannmixWvFKfPmUPLtagYus3Fo0B4GDR1+wvqucWkrlF459xWMkrHNdmtMLH+b/y+uX/VznvjkL/zxqn+ErW+7V4uFU+5pHWl2cNwQttk/pNxeQ2x8Ao3IXPH7S1rVGTDxCdY98ya7NyznaOF26gpKiMsJfVm4LdXG8L9qofl337wC1SdzzTPtTwvuWP0yXz7+Py696y6yBl8VtM7UqVcxdepV/O1vvwNMqCbtmsmVcqnwlTC6TqFEgOxUK8fKnAHFXfW2DVznq65GdbuJOf10BGPbv4uOzsmD7sOi8z1ndPJw3Jg5Ur2t44pC5E9VyWhAuk2LcVK498SGa793uhad9KktT7VbZ9LQGcwUx/Je49fs2L8hbH3bfVosns2Vm1m3cxnrdy9n2YElZCdpN+jL3v8JlWI11XFWlnz+CVVFBbgdDnweD6IkMe2W67jyb38DVPZ/1drBWg6iBLRH9uBRlNcew+dt34/I6TgCgMtZFHK7sqpN9TT4wzoLgE/VItICgVkUIcjqK29RMQCG1NSQ+4sUah+44ej0ZyI/nahbWHTaRdUyy/RqHwbRQJVhONHVr7Ku+FSmZE5rLUPTdEQfGWcz0rPZJ+7G2RjegHqdMSppFDkxOXxT8A2F9kKyo7OD1vvLhf/gnHfP5s4lt/N21sfE2OJ63Hd+4hAAVjg2smLDxjbba9V9/HfoJXjHnsNrwMVP/IshR/YEbatg9VYGnzYNyWikZvsxxBVOvKqHmtgqhv14HtEZyW32sRdXsuzfz3Lg8Hpk1Ufx1t0MmDwuaPtR0UOB9ZgtwX+fYPhkzdfFbTLgkeO5bGYUjaqKJINPMpFTdBbnLX0DY1R0m309hw8BYB4cejA8HZ3+SF8IHKcrLDoRZ/rYf7Bmy43s3f8XpmR+1npjk1Iv9hGNBbCbnAiNveDc2gn3Tb+PH3/5YxYdWMQvxwePuZocn86D4+/jju1/4m8f38Nfrnyix/3mpA3i9RkvUNlQTmFjIX8/qMXDuWXsTZhNVioaXLxdb6QAMPi8NCZnMDw7HdnrRZF9KD4fss+H2CgwxDOBkuc3ESskIgF1vmowCaTZs6h5fBdH4mvIumIiCfmac67s9fHanbfS6K0LyONrbH+1kChpTtFCqMZjQcCnagqLaDRSLmVRaRMZVu1jb6I2PO7Ny+c8wGBu63AtNzRoHwz9YSiN/BOyTn8m8udPf7jKdJporKLwjV9ROfRq0oZOQvQnNxMEIfAZVOz2MmpqDiNJJkymKEymWEQxtAG8wlmNgIBFMmmr2Hr3iAAYHJ/HzrSrsJY8REljNRlRic0b/Q7EQh+YEgJotDcQ7bFSIXecjbg3OFp3FIBoY9sn/ZacNfkSFm78N1+qK/lLmPoemz8FgOUHloB/NuwnY38aCFJn376MZyrBqMpIA/KYf+WlQdvZ98pSbLu0qaTqxEoG/99pmGOjqdx+kOplh7CWWWh4/iBF5g1YxiazefmnNHrrmDj+PEbMn4spJorEvPatJ00xcpR2VvS0qQ/srz7AATmJosod2DM0h+YmZQUg/6hmLZJMrdMYyPX1lD/8CACeI0cwDxoUUp+RJJIxhHT6O7rTrU4XUPd8QnbRJ3iLtvDsN1cErTNtukBR8ZMUFTdHhVVVAUURQRVREVHV5oiFKgKqqqVx22nK51HhD82NCQYMISo6PWVi5mnsLXmAjSXLOb/Fst3moGUnRIxOKT56FJtiIXli7gnve3/tfgDmDJjTad3xCWP4wLmUj1a9wUXTrwmbDLPz5zJycRZl1ASyAgMMjIqFSohFZrtoQVXVoDfH/GtPZ/cTnxE/LZexpzZHZE6fNIL0SSNw1dk5+Oq3iMdExHVujpXtICd1JHPubi+LT2tEUVOgXI5KFMWHKHY+xNmdaaz0RiMeHsggx8scHHEabktznJvpm5YBYGjhVOvau4/DF2lB5azjxmHK6zx/U8QJ0+pBne8zusLyvaTK7mbNoWqUpgy1/sEk3mZi9pDkNoN96eGD7F22klEkMJAirr3yMqwxCaiqqmXY9WdmdblPw+stQ/Z5UBQfsuzE52tAUTzIigdVaXZyVFFBVVBUH6g+yl05YIW/ZVUhqyoKKpcNnH5Cfo+s2EGsEVJw1KwBLm7eEAiy2jcsLLWVlViRyB6Qe8L7Hps8ljd5k42lG8mJ6TieyX2X/5M1z87knxv+wTmTL8Fsaj9xYFe5MP9CHi56mh1HNjEmbxIA52UM4u4j+/EaVMqS0jl49Aj5uW1v4qIkMurX57fbtiUumlE3zwdg1a+eB2Dy5ZeFLJvREgPAoof+Q1zOC/zk0fbzajXFlciLGwYUMavqO8YecWPYtopjAybz7mwzt77/N9RqzclXFUBpbKT8X/+i5pVXARj46itYJ03qR5aL/iKnTl8iEHFa92H5fvL0soP8Z+XhoNsW3z6b/NSYwHefovLoc88SZc5iu3oBNwuvIB1dSfY5vwiyd/ef9Nat2QRO+EH+nJCnkMKFIAjUmCcS23jc6halbzndeu1uwEZ0XM+dWbtKXpz2ty22F3daVxRF7px0J7fvuoe/ffAH7rnysbDJMX/KAhY/8jRflz3GmDtfByDNGk++WMgBVZNx0d5D3B5EYekKtak1UCYwcMbEkPcZMOx0zvtNNes+fpm6wuCB41oiCFBQq0W6E1HInllC5c4J5Nc08M7uW1lZ1Tz9JJjMlNzzJ+o/0/ysBn28CPOQIV08Kh2d/oh/ar4/L2t++OGHEQSB2267LVBWWlrKD3/4Q9LT04mKimLixIm89957PWrzZMTtUxieHsP2+85ix/1ns/P+s3n1x1OY4jKw5a0DKLJCQ8NO1u57mvPXb+K1s65hf2oOlUISNYZUpN0fhl2mJiX6RCsrTVhjp5CsHMblrmu7sY9YWKRG7Ucqq+pcaQg3TVaVQnthSPXnTbmY0b5c3nUsprK2NGxyWH0Cd77n49wXN7Hq9eZ4L78d3Hzz/rbB2eN+4oZkAirlR4Ir9sEQRZERUy4nZcAgQtNyBcobNCfeGJ8dU4xmTak453P+b9Tf8bW4FkSziYavv8Y2ZQr5y7/tp8pKH9H8dfoZgXDXEZWi23eB9evX8+yzzzJ27NhW5ddddx179+5l0aJFbN++nUsvvZQFCxaweXPnSevaa/NkRFFVDJJAjMVItNlAlNlAZY2L01xGynbVsGdNCevWX8hHhVvZ4tDm5RssNuLqC6nPnE1K3Va87o5zq3RHpkjOc+clan/33VVbmgubnG77gL5ydNc+sjZpWZKryypOeP+x5ljMkplPDn1Coye0ZdV3zf0TiqjyxBcPhk2OQ09ogdsqMqxYHnmB8gIt2u0FWSOQZE3Z3Bad1CJxYfeQ/cuNjRZLJzWDIAjIHvj8hds4umdZh1WnZln4Wf0HDHQW8LBbwlXzGE/ZfkqVkII84XpijUmYZAX1wEFUr5e0u+/C2A/irhyP2gdWeej0d/qhwmK327n22mt5/vnnSUhonR121apV3HLLLUyZMoVBgwbxxz/+kfj4eDZubBu/IdQ2TxqctVB1EBTZH8Kp9R+/vtYd+Lz8v5sAqEX7LRIaKim0RZNmLyFq3IXYcFK9+9uwihfpsFKD47UphILavYGywD2vD/gI7Nu0FYBdeYUMzR8ZERnOyT0HFZWSxpKQ6o/NO4VxzgEsrV+NHOLKmc6wf72Yuqw0Rr79PpKssvaVvwMgiRLpYi0ATrOVCkfPrCweh6aURcV3fTxIyx2GaFTYtXg/qz94vuPKKgg+Hyoqt3zkZtruMixfFiEds/PG8ERGJZ9GksmCc+tWxKgozEOHdtxenyby15FO/6PZhyWycnRLYbnpppuYP38+8+bNa7Nt+vTpvP3221RXV6MoCm+99RYul4vTTz+9222eNLz3E/j3RHhqGqLsaRNaJDGmOc6DFF8PwA40q8PV0VCSlsM6Wx6yollcvLWh3bRCRW3xfySod9cCYDTGtCjtG85eAMZShYNJxZx149XExsRHRIYtFVswiAbyE/JD3ufKkVdTZ3bx3vKXwiKDajEjIZCcmkvpuCwsLTIyJ5ma3eIKysp61I/HqSk8ZltUl/edNO8X3PrfL4jNkDo8pQUBisqrcGfm8rMRm3jkSgN//aEL1SKhJJoZW3iA+0a8xilnnEP5o/9AjIkJGvFWR+fkpm/4sHTZ6fatt95i06ZNrF8fPG38O++8w5VXXklSUhIGgwGbzcYHH3xAfn77A2xnbQbD7XbjdjdbJOrr60M/iEhRsFZ7r9zLvVXn8K71cmBmYHNWoo1j/s8+Vyw1xLNPGAHAu40GiIaVp8zD7fefUNzhjbaqqCqCGrkTckh8LttIwlm3q7nQf7PZuuyXiP7TVRAMDJ3we6IzTmx00Wi7mZosd+cVe5GC+gJUVK785EpGJo4MhOzviPkzr+Ffe5/mL0f/xcQjp5KfO7pHMphGjkRY+i2yz4sw8xSyn/gQd30d5tg4kk1m8C9EcwZJFtgVDm/VrIyiKFJYUonb42HwwPDnkxpsrGQT8J7Zwt9en4PgXMxfTy+jYCPkNwiMdd1A44GPMAOZDz8U9v5PHMGXmuvodE4/9GEpKCjg1ltv5fXXX8fSzrzyPffcQ21tLYsXL2bDhg3cfvvtLFiwgO3bt3e7zWA89NBDxMXFBV45Od1LW3/CaKwEdz3MvRcWvIJR9TDd/V2rKgaDdjJYEs0o3ihKPjgzsK08Op4bdr7J73c/Rca0S5AR8dSE5nwZKpG2sAiCQK1xKKJzd6AsIXsysc5TUFQXPtWOT62nxrKMyqMrT7h8Ce4YjInhWx7cHZJtyaio7Kraxbv73+WjAx91uo8oijx93nMAPLf88R7LYB2Sj0mWcZaXkzRcC5F/bNcaADIszZm0a2rr2PDNg3z1xVBWfH4TPp+b9d88gMNeHlI/BoMW9+S7NZuZ+a+1XPDkampqgzhkd0aQMfbo0WdRVR9793rZvWc/CgrbqmdxaNDFGA3TOM9ZzFPj8rjjtgtIckSzPek8Eh99kqhTT+16/zo6/Z5+qLBs3LiR8vJyJk6ciMFgwGAw8O233/LEE09gMBg4ePAgCxcu5MUXX2Tu3LmMGzeOe++9l8mTJ/Pkk092q01ZDj7vfvfdd1NXVxd4FRQUdP3oTxSqCk/745kMnAEjL2JF0uVt/vQ+p3aseWdrSynTjzpabf9t5ftcaliL8Z/5SCiIVfvDLKYa6SlKLKKKS2lWmmIyh3LK/LeYev57TD3/PSbO/S8AonBiM+P6fD6MqgFZ7XypbG+y5IolfHfVd6y9ei0m0cQ/NoSWlXlI1iim+UbwubqWt5Z14tPRCQG7icdL9kgtAm7lPi155ZjY2EC97+r/Q7Xrv0gmGY/5C75dPpJ69UX2bXslpH6mXqIFR/zzq98A4BAtTH1wKZt2hb5qqD2qa1aTm7eZiRNHMSXLwDksYcmorRyJ+5ZTJ39IlnMwA5OiiclJ5byfj8aVnMu7n8BXL+xElk98WoawoAeO0+kmfcWXsEsKy9y5c9m+fTtbtmwJvCZPnsy1117Lli1bcDi0G+zxy2IlSUJpxzzcWZtSO/PFZrOZ2NjYVq8+y5EVYC+D8x+HAVMBUBCRaFbG1mwr5cnntgAgFWi+Kcm1tYiVzSuBXOb0Vs1a68KbMViBiKaLqPe4SHBvQY2e0m4dxR/4ThBObAghg8FAUXwV8sETm/QwGLHmWGwmG+fmnUuNu4ZFBxaFtN+jVz5LrMvEwn3Ptns9hoJj8xZcZhNRAweSnDqQumiR6s3rADgjOSNQr5hsJLPM8LxX8NY2r6rx+UJzxq1xeahJyGZvzDDOTWrgtauGYlXd3P76Wiqra0MT1h8c7ngEBEaOHMG5Z5zDnPF5/F3+AVeVDCE3eT1RfzlEo9KchDFr6hCu+csMZl81lIP/z955x0dR5w34mZltye4mm94bvYRepQmCiiD2DrY769n19NSzn2d57Z6e9ewFsACKAgIK0kuooYQASUjvySbbd2fePyYkxARSKElwHz8r2Zlf29nZme9865YSlryfjs/TRYUWP37aRRf0YTGbzaSmNrZ/G41GwsLCSE1NxePx0KNHD2699VZefvllwsLCmD9/PkuXLmXhwoX1fSZPnszFF1/MnXfe2eKYXZ6MRfD1VRAQAoMbUqT7kBAbnlV575f9uAX1pEhfrQp+Wk8tYqEDOdyA5PUioFCiRBMploAiE+M+SFXWdiwpzVeubQvf/L6Dub8UIQUboAP8nj/LL+OhjFwEPkNT7ePp3zYiHEV60vAp78tWTrUR0B6nEJ8RcYpnPTp/H/F3fsr6iX+u+Sc2r42r+1x9zPZBphDu63cXTx98hUXr5zJ9zFWtnkt2udhx6w14w0MR9mXiC7EgCAKSIFE6OAHj9v0AJBhD0XjT8GoisWFEtsUQlzKWmKQ12KqLWL9xAkit8wPas3s3tZHJ4IYLJg5h3OCePFlUwkO/lnLBy7/w6S3j6JEU04JfhoLHZcdakUVQaMoRWxUUnxOeV7WZzoCX2GY7izWjhnGHIRgEgaztZSiyQuqZcRiD9QyYGE9QeACL3t3Jovd3MvWWVDTaruOA6w9r9tN+uqBJqCW0Wi0///wzERERzJgxg4EDB/LZZ5/x6aefMm3atPp2Bw4coKys7ERO3XkpzQCdGe7cDBp9/eYjNSyL1hzit7JqwpLN6F2VxHgOEL//DYosLt4bFMRLepnvu4US7M0nlFK48sv6cSyfTjghy1y6Mw+3V0Ss8rTc+CSQXusAQeCqoALuiSjm7vBi7gwv5a4jXneHl3KzpRy7YKJaPPWhpT67G5M3sOWGpwiL3sJvV/yGRtTw5pY3KXeUt9jn4rHXEuYM5OHMf3Mwf2+L7T9e8jpXvHU2z/5tCPr12zAu/JXA8kqMRSVkblVNNQa9EU/duSwIAuFCFQA2jAwcpFaLFkWRQHMEsk/E4265cKTs81FmcxCgV/3aDHWCwSVTx/L4MD0FvkDOfncrwx78ijEPfcmn839vdhxRI1Gyx80Ht99F+rqG343XW4vHq/rD+BDZOnIEq0aN4JMz+gCQ0DeU0kNWfp+9D0dNw28iKTWMaX8bQP7eSn58cztez4kJFT91dLTR10/XpHMIu8etV1+xYkWj9z179mwxs212dnabxuzSVByE0GQwhjfaXGD10M+rXgjX7StDp8Ard4ziwzuXEhnrZkOtj9AAM5edOayhk69Cvd70mQYRvVVhCHBVl6APPr5EVjuLHYChw65nvjoj6b8HTydQc3Q5uqzGydub9yIKuqO2OVnow4woWQpFBXlExx69YvCpxKK3cPvA2/nPtv8w/fvprJ+5/pjtJVHigdR7eHT/81y16Gp+nbkSU0Dz5tSM/HReLfofmGHPeJGUMoHhGQ0+PN6r/8aiYbEogQHElXjYuXoBA8ZdSB+DRJEHdgqDiUpsSKsvabTILhPVzi0tfq6VixYia7QkJiVDOkhH5AC4/srzGJaayfqMPOZtt1Lo0vLk+hoOWZfx+HWN1YMX3PsvstNX8vtHi6mtanD2FUUdGo0aPi8igySgmLScHa6WXJhx1yCyd5Tx0393NEmAl9gvjAvuGcyC17fxwxvbiEg0o9GKRCYH0W1wRCeOxOkcNx0/XY/jTQJ5ovDXEjrRbPsadIGgN4PXBSV7wNhUmCi3+5A0qkkoq9xGBBJanYRBtmOzqoJMhaOWrx7/O4PPnka/CWdRquuJ6KokDGDmt/D6AACse38nYtRl7V6yLMuUuzXotALuDjovPXWOtrqWdH4d6Pw19NwzKdqyiQMrNxJ9decQWABuGXQLOTU5/HDgBzYXbWZ49PBjtp8x9hoyy/fxceV3vPXzczx86QuN9lfXVPDM/AcxadX8J3MnfE5KbC901+oRJQmXo5bKnEwqL7qG5LQCao0iOi9w08PM7v5P1t3xMAQ07+MZHHg2Du23lOSlERk/jPW/LmXNqtU4PR5EUUIUBXwKuBEwSQI9+/WH9H1N5OjU/j1J7d+Tmy4Bj8fL2Me/46NdMn8pKiMuuuHhICJuAMbgWH7/aHGjBWkkI/jUNPwCkF/0f3D5J6095MT0sDD1llTSFmeTt7cSj8vHliWHSD0zjjOv7t3qcU41He2D4Ker0jnyYfkFlhOJ1wXzb2u6fcTNTTYNTAxDV+jjP7N3sqrMyhijenMwSg5sdgGNrOAVBQr37aX4QCbBUTGIgh6BOrOSJRFFE4DgdVC1f8NxCSxlVTW40RASqMFt65goGG/dD0LTUh2jw6n6O+B3YzYHkxZejub4g1ROOH/p/xd+OPADv+X+1qLAAnD/BU+x5v21fOdaxFX5fyE5rsHE9vCcv7FauwtcEO0Mom/K4EZ99QEmovsMQVk4m6rzr8Jka/DFGnTAhytA9T271/Yp0HgtCSnT2Jf3LdWVB/nx+9/JrahGI8sEGgwIqKYghwLhAXr+etfdrMmoS454jC9cq9Uw/74p3P/GR3z3zi/MmjaJ0JEX1/cR6/49kLYRW81DJA61UFb+K+G+qPoxpKu/ajpwC+dY8sBwkgc2CEcbfjjIliU5jLu8J9IxtIR+/HQ9uqDTrZ8W0Oghog+4auAvi0HSg0YHBgsApV89g0fREzLlWiKT+xNSWMPi7b8zzNyfN/6mRg8FaLxYPQHoFegdnUDo5Mms+vIT5j79CFemyo1OF8FgpqbayKq1o+hxTfuSQlXVOvi/79cCEB4aSKW95niPQrvwdg6NY4voelmIW62ntLKYiJColjucIqJNagRZbSv8Qw7zzOTnuWr1Dbz960u8dK0a6rwne5sqrACiD96a+s5R+8f0GIT020IcZUWU5Oxl8DkzWbDo9fr9wcuLyAr/iJQz/lK/TZHVG/nSJT9SUpNCv/gYLvvrLY0iC11OJzq9HkEQWq2Kjo0K42Xtu8QLZbDoM3zJfZCi1PIJGp0Rg0WmZK+VovTdaCOcGI09CTVPBHZB98nHHryV56akFZG0IqLUWbUYSoc/Ifvp6pxGTrd+gP4Xg9cJlkQwR6nRQYJA8cKPidj3CrGZz6H/b38S1qn5M2bqd/DNIxOICFETkimSBkH2qHV9BIGRF1zGjPsfQfZ5sZaW4PO4G+bqPgWjWIGgwJw3f23zUmVZZvizS/l2v0xcgI/oSNOJOALtwtfKG1NHm1JDesQgIVGZc3xp5080Lq8aeVPmbL0ze//uw+jhiGKVYzOHitQon38u/jsAbw58nl8vXU7vpGMXIo2M6U7SgLGMOP+vaHUGRo+6gb/Pq+S2RVUMXGsjb//SRu09kioQyzo4a9Rwrrj5tiZpEPQGQxPhuzXCeJllML66S5q3tiHBnEar5473fuaC+58CYNjQbxg9ajEJ/R6Gp6rh2u9bHLs11JQ78Th9yL4uIn378dNKGmoJ+QWW04vIvmAvh9qGar6VW9YQuukhqpREKpQeFBqn4pED8Cg6Jp9zRaMLdq1Li1F0YpcEMktVdXivUWNJnahmvZWPSKrG5CdQEJgY9A7l+1sf3SPLMvPW7mbAYz/gRcIoevj05rFHS1lxSvC2URLpqN+N3qgKlm7Hia2Ufby8sUWtoHxBtwva1O+BMQ9i03uZvuRixrw7lMyAYhLd4Uwacj5h7XDkfvfjbwlwK0RUe9ieeiMbFzrIz2/Icl1Stg1FgVnXvsKEaTNaHO/whbI1Z4fWUUqJqK7Z5zq+wovQICS19tTsP14tG7BvY9Fxz31S6MgfuJ/TBL/AcnoRXfdEmqtGazjKy5EW3ESNmILxoXWEPp1G3ENfE/HMRqQnioga01gd7fRqCAxSs7ia9Q1p4M+9/R6CIiLR6htCowmKwRo6kRTDZkSPQHVl68w5k//9I/f9kIVN1tLbAun/vpAesWEd6gneVZKHGjRqmK3b526h5akl35aPgMC5Kee2qd+4gedyoVYNja8J8BDg0fD5ZXPatYaCshJicvohS14GTzPg1QajCZjAlrS78flU3yibPRe3OxhLSGvz2Rz2WTr2hbKwMJ/erp1UhKhRST73iRQoW/e7iEwKIrpbELl7Kk/g3H78dAY6hw+LX2A50YSmQFQq7JiL1+Gg5u3L0FON9ur/oTU2NrmIzWTxNek9lFZJGGSF2KCQP+xterK4E84CQEZi16Zje4MqisK2AwVk2VTXpZ9uH86Sh6c3PEnScZoLb2vLAnSgUJWbdZCMVWkA2G2t9xU52bi9bnaV7UIntS/U+9lr3ub5lIe5UH8miy5fTGhI+0Lkf1uahlfwcPGTAxl74Xh8umqkgN7UVoTxxmv3sW37IvZl+Cgt7dfmsVu6UB5c/Q0iCkGp0wHweU6AwNKO34I5LABr2fFrd04GauI4v4bFT3voHInj/E63J4OBV6L8+ixlb1xFuG8n1VO/IqzXgFZ17d7bwPo9ZhQFnF4XHo8brfboNyJPdSVeRYci+dizPpcx5zT2OSi32pizciebs8v5LV/hsFiw/bFJBJsaJ0FTOlBl3Foflo7k0Pfb6FmqagbCE0981eD28ua2N6n11HLzgKbRaK3l/AkzOZ+Zx7WOkl1OqqJKiY9UtTw9RsaSvcZF3s4Z2MxZzJ+3AYglyNn67LCtPS0C9y9kn6E/EWFquLnsPv6q2od/CW05NaOSg8jcVEzu7goS+oUe9xr8+OkcHPZh6dhV+DUsJ4N+FyL4XEQ5VlI+8jXCzjin1V0TxvcHQPQJ7Cst4s1Zl/DcE7Ow2azNthcr9lEjJhHZR4ujQE9hToPvjM3pZthzK/i/NeX8mk+9sNIrSG4irADIHSg0tFrD0kE4HXaSSiPYF5KH745Y+vQ9tjPqqWR+5nwMkoG7htzVoevw2GVMYQ0V16dfO5bhl0UiCx4kn4EePdUEdWeffdEJnfdQ7iFSnVtw9b4Yqc6M6q4uRvY0L7RYS0twO0+OFmTgWfEEmLXk7+uMZqHO/1Dgp3Ny2F3AbxI6DVGCE9luO59frXcQOW1Wm/qGDlTrnSRZQ9Eqxegm9kXaX8HL/5iF19vUb0JyleLWRnDWFUNQJC/LvtpRv+/yV38GwICHty7uzt5nzmXXk1P45dHmnR2VDtQY+5RWTl1/zT21C03fuFmdfrCRpITup3TulrB5bHS3dO/wDKuK1guuxmsYNSWVoFgRnRiIXqdWf+rZs2fbBz/GR8tfNxcRmW5nXo3WHAZA9MYnqX2mW6N2h/2/vnrsAb599rHjmvNofHDv7zhqPJ02Uqijbzh+uiqdwyTkF1hOAoIoYLn+TfY6JnNoV0Wb+rqr1GrARrePXgRy1+0vMea+O9BV+bBXVuI9IqxZkWUM7jy8hkjCo0IITpax5sr4vDI7Dxaw26rl3CSJvS9cxPmj+mDQaTAG6I82dYeGDPtQ2uY/c4p/Nw6b+r2Mm9R6bdmpQhREvHLHJPw7EgUFUWh6SSm2HsIhVFBQUIBWq8VgMDTTu3kOV5UWj3Jy5OzeQI/db7E7YCjmsDiMsT0om/oJecaRmMTGfkbx/VK58ukX6T1mAg5r8xrLIzl8c2+tM7rd6sbjUmsL9RoV3UJrP366En6B5bQmsX8oMd2D2fDDwVZf8GrzSvj5SVUrohiq0VSqF9zxI6ZzweNPAeAWG4qtFXz5fwSTi2aAqjFJHhAJskTa73t58puNANwxdXCr16zQWjXHiaeTPpDWExSuOkDv3r61g1fSFEmUcPmO32fjeHB53BhqLJgjji6MVFZWEhTUfN2io3E4eEw8ynnpXPAAtYIRy6Wv1W8LH30xxAxqciqLokR8n/6ERMfURy2dSNxOdcwZdw0iPL7jchodnY77ffvp2jQotv0Cy2mJIAiMuqAbpYdqyN7ZchVdgJXPL6TYF0kwFXjHJRJeaMdTF57Zv/cIXD2CcYaoDosly+cTtf8V8i1XEHW2mpY/Pkl9qsvYmc+2Somx0QqpSW2M+OggwcGnKIhtuZqe4t9NUp0Zw1nZeaKDQI0QcnldBGgCWm58stbgc/Pu53PRyjr69E1ssv/uO+5D71OLCo4bN65NY9cpWJCaKdmgKAoRzmxKki4goeegxjsFCUGA3P/dRtXO3xrtEiUNNWWltEjdlD+9vYN18/a32HzJB+nq1EeTrvz46ar4fVhOfyJ7BBMYF8jyb/e1qGWxF5RxyB3LwORaZr17GWGjx6D3Qtb23xsaCQKKALYqF5GrrsctBxB586v1u5N6xeCVXGw86EZB4MHzhzTJInosOjKs2ddqSaljJKrte1QflqiUhA6Z/2jYvDZkZOxeOztKd7Tc4STw1n+/QbMxlpruuYweMqjJ/tCIYCZNnExE0QQ0bnObxpaVwyahpvvK8/YRKtQQEN70O9HFD8Apa4g79DW2H//ZaJ+ztnX5iqKSghg8JQFBFDi4reUMwmW5qjBrCjm62bVD6UgnNT9dnM6hAvcLLCeROZty+ayqEleJkzWbC47ZdsfnK5ElHT0mqI6CPUadgyxA4aYjBJY6P4/AYB0eRYdPDERrbLgBSJLEAYNIsstArNbF4B5xbVtwB56TsnJ0tf+RdJSfzbe7vgGg6Ifd+Hy+FlqfOkIMIfQM6UmONYeZP8/k892fn9L5rbZa9LtikIZX8vCD16PTNB+Cf/h7s1W1zXR1OLFzcz4s3rQvAAgObho+HHnmLAzPlFMmxjU5Z8zhEegCmkbJ/RFdgIaxl/UkoW/rwpMn39AXgABT+/Lh+PHTefH7sJz2nD8whhyNjFNQWL380FHbVe7LJy1L9ZGIHKpWzQ2yRFIcqcW+c+cfWgsIgkBp8HnoqcJe0HjcaTN6Y0Dg9hF92rxeWem44mi+VoY1H76BSaf4h3Pv1Ico1paTWBrBL29/ydrlS1vudIr4/oLvWXTxIvSSnre3vY3H52F5znLO/fZcVuetPqlzr/8lAwDrLoHCkqNrIdb9mIFPcjBofI82jV9cozqZO71NUyEHnHkfAOXlJUftX+sWsbkb531x2e1odG0QKhQF2SdTU+GkttKJrcqF3erGUePGafPgsntwObwEmtUxq/2J4/ycZiidRMPiTxx3ErEE6rCYdOx0+RiUY+dgdhXdki1N2uX8kgaYuPCqcCRDw4XU3ieB4G0H8Pm8SJKm0SmjnXAHuoULkN4bQu1VizD1HQnApNHxZMw+gLWw7anjOzJKSFaUVtlHD5uOTrVc1T2hF/yrF8te+4oBBSlQAGX9iwiP7hzRIPFB8dzY/0be3fEul/54KdnV2SgoPLH2CX69ou2FMVvLyDN7sy9tJQFlZubMXsq9d199lJYKPtFFQGDbzCU5lapGptbdVGAJDgmlhFDk4t3N9vU6bMzbnwzAkutVPy+v08HYiGxSel/W6jVodBLWMiefPbq2Ve07a0izHz/tppMUP/QLLCcZURDocWYM7mXFzH5zK3f/aywmY+Onu6z0KoJ9TuInntVoe8JVN6Bb+QRbfvgfIy6+tdG+iOGjKK35hIiVN+BY9CKmvt8BoDdosJkklJzW2emPpNDlwdtBkrSvlSahehPByV3OURkwcyI7f11Hn22RpC9Zy8TrL+mglTTlb4P/xpyMOWRVqyUazFozFc62hdW3FUuoiTufnc4rr36FbncEG9O3MzK1qR9LRHwQ1kNt/9aGxBn5ensFMUHNCzqi4gNDcLP7rLtWAGAwaDFYQqgqKgQEAjUe+s26qfVrOCeR2J4WFEVBkVVnX0UBRVZAaXgvSgL6QA3RKW2LhDp1tO6hwI+fo9HR549fYDnByLLCwbJanB6ZSLMeUQCzWc+gmb3Y+tk+3npiNbPuTSAsNAYUcFfbKPZF0De6Am9NNYgigqRBECUGjLmA3yOfpfab2VRNnaU67ioKLrcbAQgeM42cndcTVf49ss+LKGlQFAVjdAC+A7WUFZQgiQKiICBKEqIkIooCgiQhCAKiXoem7m+AfKe7XhBQFAWfAjIKcp2lSETAp8hYvTJlbg8lHi+lbi8VHi81XhlFUZBR1Yd113JAFdokQBJAIwjoBAi35WOUnfhkHz5ZJs8ZjLcVPwalgwWWqMhYIi6/mLS9C+ixJ4Klb33F2JsuJNBg7KAVNSAIAksvW0qpo5QATQD/3fZf5u6bS35NPnHmNvoztZGbbj2fzx7YwNatmc0KLLJPAKntvj+HfVd8cvPVMQ2CB6fcfKr/gxt/R0RmykXnsPr77xDQMyU6kwGPLoDI1jtP6wyaVvux+PFzetI5fFj8AssJ4FC5nYJqB8OTQlhzoJzrP9rYaL+CwsQxCShAxpwtLPh3LpDb0EDSY/zpAzK/ebbJ2FFAVEkR4+eM4jl7OTNsdniuodJtEoAAn981G5snFFnQohElNAiMf30Tjlbd2dWbgQYR2agh5tctKM0kADuxSEDTm/zwJUsJUHzoBAWd4kOPD53iQ4cXveLDo+ggsDu2X/dQsfinxp0bqSuFI35bzW0XGm1qeH/k9j/+3fA+wSTidULfvAS2Lf2ZMTMub9WnPtnoNXrizWo9nYkJE5m7by4/HfyJWwbdclLnNeqMiEgIhuYFC61Og9KOCteHw5lluXnNX462O+aSzU22W4tyWblyF9GhOtbO+xYBhcsTd5JwxZMQ2bfN6/Djxw/4BZYuztu/7ee1pfvwygoD44O5YUwyAF/dPIprPtgAwPQBMQBMGpOARlxJ2d7ZeJVgkhNm4CuqQPhtAxEPTERBZkOFlR9t3RGBMElksCiy8OBu9LUJZPYVWGGvwawLBwQUYG1GMRVlGsbuXUHgWeei0YpIBg3ZopZ/hWhAFJBlGVlWM+P6ZAVZ9vJu8TwkXQDDe53FztxV5HrtjHBJ9Op3PsmGPCQUREFBQtVmKHWvu53JROPk6qQkQrUawrQS4TotwRoRTd0NXhJUxaEoqGuUFQWvompd3IrCpqxdPF2pY1lEGQkxvdBIWrKKc1hZmIdVI+P0eXH5vHgUARcibkHCjYRd1ONGw+iqGnq6rHjdlsZfRrNOOEcxcTVpqzTzVjnqflHxodNls08QOFixgTF0DoHlSMbEjkEURObtn3fSBZbCimIAIkPCjtJCAbntF7vDMuPRNCwV8WcxMuu/yF4voqbhclaZpfq1aPUGiiq8XJW0nbi/fQ3JbcsDc1rRgU71fro2it+HpevikxXyKu3kVTp4aUkGt07oxrCkEG75PI3le9SIhUHxFn64cyyyAj2jGkKPx4+excdVu4iW5pEy/AnCLbEw69r6/e9v/ZG0KjOVWNALAq9NHMQrr/+G7FS4//yzmqzl4y/TWFKWx3nlPzHswf+i0av+McOPsf7n3plJTfwOplTF8dqFl7N8YwH37vmQ58a+TGKPc4/52f/1ywqu15VxX7fRbThijfGEhkClDYNGQ3CYmmgs1RJDau92D9lhXPbxAGaZ+3X0MppFEiXGx41nZd5Kcq25JASdvBwyrrqSEfpmwprdHh95ByBfI1NWbSM8uPXms8N5hI5WmNMYnog+y0N1bQ3BlpD67aGx6mfNLawlxmAldurtf25hxY+f48KfOK7Lcu7rv3PmSyu4Z/Y2AO6d0otz+kczLCmEn3YWAqogOjDewuAES5P+U0fdh6IILE17v8m+HKdMjFgFQEpdRMXUgbHUljnYUljdpL1XVpAFkSBXLWnfLmrV+qs8VgRF4dEr3wEgr2QHOlkhIWlii32FExDgtjlPzRqqD2jeWbKrsHHT21SKEBrWq6OXclTuGqxWcH5u43MndR6bVY3mMZi0TfYtX5aD0SeyXgtXv7Wsvj5Qa5DqPLFlX/N9XNZSPIrUpEaWpG/IszI0LB/hzIdaPefpjV/D4qc9dI7IN7+GpR3sL1EzWhq0qrxXWuMiMSyQp2b0Z8Zbat6LY4UIx4RE8ot3NHrPchTlyUZVdvM8OpK1Vva4IFqnXvzvG5XEnOUHeHXtQb64dEijsbw+BVkUyQ+JxTn/B5h5Yas+Q8+qACKi1crQCCJuUcDqthKsjThmPy8iyxxa7vZ60Gia3pxaw7YaO6O8B0hIurRd/TsLn+/5kl4+kWmjH+zopRyV3mG9eWBZAKM2rWBR4mCUunOtsVeP0Minrt6b54/nsCA02Xa4bY2hJ8TewoH3iil45ysOmywBqjQRuAWBiEiF9AoNo56cT5AWZAQuGxKNThLRaUSGxhnRSo2foUpKVI3l4Yy3f0Qq2MwhbTe66xsngtOZVW1LsrGCXo/+ApL/UufHT/vxO912eW6f2J1/zksnrC6zpd3dUFCttMaFUd/08O5cvo7SDWmg6Ig4o4Ade9cxqO+Y+v3ZvlBGB9aCq+EUiTEaiEkKYsOeUhRFaSTgeOueVh19BxKwe3ur164ccd6FBqh+Bx5nJRiPLbBUaIOp0AazPz+DPkmprZ7vMLX2an7Sded6IaPNfTsbFlFHnmgnUN9Zw1hVBqROhk3zST7kInd8z/rtR+rKlCP+Lwvqn433Hqlba2jdcBnzEsxOggPD6s5PdU9uWS07jGGMSoSFf5/OR79s4ccdBeyr8GGTNby0piHs+mxtBnFS4yrKxbIJ6ItW13xYs0bxoJGdHNjyK+W5GfQ98wrMJjOa+TdzX59ViNf/AOHd23S8Tlf8ieP8tBe/D8tpgFKXOyRQp4ZVmg0NGoeyWhfJ4Q22+srSKlZffxs9Dm4nTNRg0ULVYLCuewPqBJYSlwsXeg74otTxj7hlXDI4jv9+v5vFB0o5r0dDQUOvrGaIFXv0InrtEqyFJQTFtL7gYXHZXh7NVaNttK1Q1Zu9Nmo0RpKiurV6jiP5bvsqIJ6xwS2nRu/sjI4bx/xDC8gt2kZC9OCOXs5RGfrQcyws2EePJbvpcfdDdBtw6nw5vvroJ37Z5+HV61Wfp7+cM5S/nDMUAKfbg93lpbDKzvS313PBxZdyVu/wRnW3tuZWs+jTbUet8uwJ6U5S7Ur44WK6A7/XVDBhQHfIXII461voduZJ/4x+/Jz+dA4fFr/AchzsL6mtt7EDdI9sEFBMhoZDW1NayoaLzie5soaS+59g1PWXotdp2fT5mbhMu+rbBdVFOWyt1aKIULhnN09sWYPGEIBoDmJgbTpbHv8fmYPPJMASis/nI2BfAb28AQy45Qqsn7/Fho+/4exH7wDAmnWQoJSmgoVH8JEZ7ESpKWHe52djDjZzT8QYgsNb9noNkh3cpBQQYBjc5uMFMK/CyZlCJhdM6nxRNW2lb9xoOLSAgtKdnVpgEQQByaw6fptC2li9+zhQZJmlO/LAEI+7mdT6Bp0Wg06LXBdCbzAYMBobO+QajR51rKOYWHtf+A82/hKKLqYvg1f+laC8FXhK56JNGgc9zz6xH6jL07ryF378NKVzmIT8TrftoG+M+rT3ydpsooIM9SYavUbixrHJnN0vih4RJkBVpb31yv+xKz6CQ4MGcuYtV2PQ6xAEgTDLWNzhDhylamZSgyRxuyWTBGcx0dXlJFvLqbbZqSrIx5u2ntHevRhkN5U71lH56zdU/z6PvoVrmVj2O4nd4sjuOZjAbz9HlmWylyzmg4fvZt/c2U3W76vLu7Lxk8ncVm3lY2cAV874sNXqvva63WZlb2N9YA8Gadqej6MzkpgwFr2ssC9vXUcvpUUMcWpuljXfv3XK5vzu4x/5zaDOa4poX+K1w2fk0aKELOHRjLzmcQZPuowN0dcw2LkRbXU2cmB4u+bz48fPsfALLF2Ow5E/vaPMPHF+45DWJ2f054PrhqORRBRF5vvF1zHynO/RBHooU5yN2kYOuQqA4rSvGvoPuZwXw53MzFzAzOS1PHPdBbz69/twabRUDjoDgPMef5oHZy/gH7MXoD9jBrJYl+lz2CiCHDXICpTuUosm5qY1TmLnk324fC5QFHpU5qmfI6z1YbnHEyUUE636EiQ0U123K6IJCKGfaOC34o0tN+5gJt32LwrP6EHC/5byw2dPnpI5v0ivoK+jhK13DkWnaT4bbUscfhhoTZ2rUbe8xY6k6wHI0/v9VprFn4fFTzvoLD4sfoGlHfSOMqGTRH66exzn9G+++J2iKCxYeR8WvVowrX/vnpTJHqoP7K9vY04YhKZSR0Xp7/XbiosLyMr6nKHDfkKr/ZW1a+8EQBZFIqJj8Gh0rF635ogLecOVXPK4cGl0SKJA7u4dANRWNq4ls23zT6wNKaOf20NYG8JLDyMo7S+S6JMMiIqPqtqTW9/mVHJ18vlsElwcylnV0Us5JoIgMPaVj7GFGOj2/FzSFn9+0uc8IAWRYBQJiY9p9xiHL4+tEpNFidxhj3CJ6ylsQ1pfK+hPQ0dWN/XTxekc545fYGkHvaLNuH0y2eX2o7aZv/r/MMsLqahV66oknjmBQE0Qm1/5olE7sz2R2oBD9e9//PEBLCEH69/r9KrgIQsiAuDs3ofKHVuanTPQFIjO56H8UB5ZNZUA5FaUNmrjzM8H4G9WB/lanXoa7l0I/4pQX8+EN7z+FQkHfmvUXzwODYtRq+VSVwb/FvuTmbur5Q5dgDNH3EWwLPPJ+uc7eiktog8NZ+zidRSkmHE+8QJer+ekzTX77a+p0Rj4RT4+04zYBg0LwIqMEpzRw+mbFHtc8/rx4+dI/E63XZbedZlr9xXX0CPS1GjfntydbMv8iXDlQw55Lmd0XH8KqrdjjktmVNR0IvVJVH63ipBLxwMQFDSMSvN+XNWFCPog+qZcwPbvryN4yEdEd2sQTGRRwrY9jVJTGCkZO8kuLSM5IryR8GDs0Q2t7CPj00/rt7kkgdKNG3BGGPjvwidYGHSQFLeH8bXVbBlxLXFOJ5TuRU3AUSe/CgJ4HOr2Q+uh+6T68QQU5OOQtl+cdCHfrMvknd3pvJrQv93jdBYCA8O4LnQo71Ru5Z9uO5Kuc0c/aQwGNl15Dpc8/x0Lbr+Tya++gsVsarljG3k4tyGqx+t2o9E1zYDbGjSSeoG88O01QPO+LIcvoYcLfQ6Kt7RrrtMff1izn66NX2BpB2EmPeEmHRlFNUwb0KDu/iVtLkLVo0QKCiWe4Vw75V/s3zEHABERrdkIbrBvLSCkLmdaaPdJ5JTMoXzXIpYsErGXJpKsExm0/24+KfoZQ0ANk8+C0ZOnsGvhfCLsNdhT+jH3gdvxemQ0sgdFYwAg6YxhlAHVu9IBuOzeh/n29RcoWruKj1jGspB8Yj1e3isqoUJnYOg5L4E2oPkPWZQO746FPyTsEjg+zXKgwch9YjYfiPE8Zy3BEHTqolZOFr1jR+Gt2kZh0RbiE5sPGc4q30p68Rrig7qTaOlPqDGB5fv+R7ylN+nF6xEFkUsGPHDS1yrLMt8adpB/QSK3LF7P6uv/whlvv0lYTPOmzRPBW598yr233Nyuvr2jzLx8+SAcHh+ioD7hCULjc/Cwzu/ZhXtweHxUOU4Pp24/fjoL9Xp1fx6WrkmvKDP7imvq3+8v2Iun/GnKPcO4ZPJHmAx/qJciNKQQlW0NSbAsfc5EOASr15chlg8nRiMQO/B7SkQf3kMRuGt0HFyzhhEaDVETz2LDoVxq92fgCQ7D6dIS2q03KUkJFBSU4tPryQsKpaqyEELMhHfvhagoFGbuY1/3QkZUhnCJ9yA6QcB9zVzEowkrAELdqaH4Gm8+Aan5e1pCqa0wUu2wnhYCy9BeFyHuepeNGfOPKrD8c+Ud7KypaXYfqMf1gr5/Q6M5xndyAvg6ax1eZxb9b3wF+TwDof94iO3XzGL80iVo2+kY2xx/9WzDlV2MZ3AMrx8cyOi0LYweNrTN44iiwGXD4lvV9uUlGcQEG8gsqaXS5ibE2D6tzumKP3Gcn3aj+E1CXZpeUWZ+yyhhR14V+7LnE+L+F3ZvJDPOfLeRsKLUaSgEoSH9uaAPw2dzIRn1iBodwSUp7Ds0nPMtauK5jG5qIjdN/pW4fTo+W7q00dyCKCIbAhmzdS3Jvy/DJ4r8b9fF+DQamHY22vIiYkoLUVCQBQGrXuZQmMxZriTOyJ6GTtxFaGQLN4/D+WX+4Jh7PD4sh/FYi4AgQsNSjnOkzoE5OJ4kRWJv2c5m97s8tWTUWpkW04sLe87kUHUme8q3s6xwF92MwegkAxsri1hx4HOm9D65VZU/2PUFgjaGW3tPRtNXYv3zLxJzx23sXr+JQePaX9Dyjzw4NZGsu74gfPJlzLHBl8s3MmrIYATx5LrNJYYFcrDMRqXdL7D48XPi8Odh6dL0iTaTU27ngrfWsCd7CQBDB79FiCmkhZ6geJ2IAQ0X00BTD3pOfar+fWjWNACGDf+B0UX5XD/6DK4ddQYzzxjD1SNGMCEiCkNBFodFiU0jR+DTaIiPjEfj9eANCuHi517Fmq3md9no2AMKDKgejEMeS7X3Fmq++P7YixQPy7LNmIRa/ITHxuZxo5W9J/SJvqMZoA/jd2cBLretyb61OT/gVgQu7TWTMSmXctXgh3l68tesmbWDzy9exfvnL6ZbgJ771v+Hl1begNd3ckwaOyvzKKtcy4SUS9HUhcIPGjsanyBQuHv3CZ3L+v0cBEkm9Mq7ebBfNT9WJLB/16YTOkdz+OTOEc3QOVE6/AnZT1fHL7B0SaYPjOHZi1L57vYx3HLu3QDEWI6VX0TE4DTU/anFtT8X5wE1D4rHU46lsi+K4EOaHkrcGbcDoNM7iBPHoVkKumVuup81md7TpzP6LzcQbhcx+DSU3v8kOcnJAPzltr9w/rTzULR69mQdpGi9mtCsLEjiqvKp9CsfyaEzqjFGZWHLaalSct2J+ceic4py3NGRpsAgPKKGrQe2Ht9AnYi/Dr+PfBG++rVpVeDlWd9hEgWGJV7QbF9JlHh01GMAfJadxpAvhlFcc6jZtsfDc1s/B0HHY4Ovqt+2b3s6kqIQEBZ2QucSAk2IGhAtIdx4+SVo8bJux8mtHyUIAnmVDgAizM3XHvLjx0/b8fuwdHHMBi2zRicBUJyvRkSs/u2viL4UFMWJghP0mUg69Ynb55WR8eHDiyRqKPsoB9lVTdg1NdRW5xBmPQtPTAEJ4ycC0N/7NqW/r8JijENxlyAGJFDwyLeIgQK7RkTww8RpPPfOywgpZs5JX80Ocy9+nL0cn0/1Odm8fiMzhg7GnrGYVzVDoULGEbiEM6Y+hn3BPGzFYSgeH4K2QcvhczvYvuwrEodPJ/zwdvmPPiywyWvg+V/n4lXAd/gFeBUFnwKhGoFHJl6KKDWvQblk+FQeWLmdDUVFDOk+pNk2XY1uvWYwYd2zrCzawI1HbHd5bfxWvI/xkb2QxKNXtx6VdBFpM6fy7c5XeH7HbD7Z+hz/mPDuCVtftdvBzvyFdIs6h+iABmG1MD2dJCBx8IATNheA7HRyOPIsMMBAX0M5T+yM4ovHPuaKvnpumnnNCZ3vMCOSQ8gqs7FyXynnD/SHNjfBnzjOT3vw+7CcPui1cdhLeiFqnWg0xQgEAHK9sFK6KwRfnAWDUI0zpJbAIhtigIggBlP5XRlhoTdirEjFN6S4fszogVOJHji1PjFcwZNfo5CA7IaALQp7Rw6mLNhC9//8jT5Dq0hUDvFhRhTqTUKtXxSeOoAJa0qxaNYjKwYsshNX2jhEsxp666usRhOpaoUK9u8g9ovxDAXYeD/bz5nLIGgSEjRKqmG5Es737kA0+JBQkBQZCQUNMrWCjoNiNDdVFREVFtfs8dJodPR0FXIAX7P7uyp2xUu4prGz9SdpT2L1wTWpLfum6DQGrhnyT+Yf+JHl+Rt5UJYR63w+HvnlUnZWZte3FVBDeP8+/H7Gd7u6xbH/b+c8BNnK3wdf12j78BnTKH3pBbb+tISQKy4hIMSCXn982gnF48a6IQPz4Lh6n5UJcSI7DsA+byTP7oQrKkoICj3xDtc78qoBWLSzyC+w/BG/tcxPu+kcJ49fYDkBBEcEU7DuYUbNSGHwlMT67Zk7l5GxcTX5qzfjHWlHI2jQ9A4l4R8zAHBlF1L+xTqMFakAmHs3dUI9nNE27plrcO7PxZNfSvziWp7bX461e0+kWtWsZBSMPPWUmnL997nfU1T2LDu3xzCUAvJMo4i+/C3Ej0cgeL1IoRYA5IIsiAwl7ftXGbbjaQCc6DDgxrD8n+oC/hAl9NI5Vx7zWCzbsYJZ5S0fM5Og4HI7Wm7YRZB9HvYqLq43q2UOKmyFPLnyFlaWZnFWRCKD485t9Vi3DryVe9e9yuqDXzGhxyx8spdfijJIDjCSZIqsV88uK8lh0f5vWxRYMqoK+DHjI0zmIUyIalzgMjwygrT+A+n73zcp/O+bZIydwEX/e6+Nn74x9p8+wVsLwVf/pX7bbddcTs9ff2FQ3z5M/jCTL+f9wO1/PbHZaC8fHs/OvGpGdwtlct+uH312cvBrWPy0h9PA6faFF15AEATuvffe+m1FRUVce+21REdHYzQaGTp0KN99990xx3n++ecZMWIEZrOZyMhILrroIjIyTq69+0QiCAImi57aSlej7T0HTCEsVE0Q53OqWUW1JkP9fn1yDObJamRG6FW9CR08rH6f7PGh+FT/EZfbS3Z+NYYeCRQnpqBRBAyx8ZCYeMT5o/7hdFjxhD9IWJ9qvBWfYNY40HSbUK8J3rMhj2UbVDm1dHY5tqeiGbbjadYHn0fmZcswPFnClsiL6e3LPKHH6I/oJQmX5/TJlyH4PNSKAi6djrnb/49L5k9lQ3kWt/ecxEvnHPv8/yMTus8iRCPy3o538ckevtn5Em5F4JYBf+XV837ktfMW8tp5C5kQFsOm8gPIxyixcMBawqULzkfxFHN1n+bNMP1eeYmtV19LRUgoMduaz6LcJiT1HJcsDcnjTEYjF864mOQefbkxqZwXM2PI2r/n+Oc6gkfO68tXN49m9i1ncMnQ1oVC/7noHE/JfroeXd6HZdOmTbz33nsMHDiw0fbrrruOqqoqfvjhB8LDw/nqq6+44oor2Lx5M0OGNO+vsHLlSu644w5GjBiB1+vl0Ucf5ZxzzmH37t1Nys13VkwhemornE22y15VQ+GtsaMHdMGNP49rn5pC39C3welx0w+riFFLEBF1/1BWLcykz74afrssBenXPLoBpigjlqgKogxWAEI4QNkz45CxMtBSzY4eEaQUVwEQveMl7AfWEwgEVXowKD5A4FB4JYcsMxFM4Qy/7CF2bN3A5U9/gFcZwzxhXt0HaGq2Sduwin/8uB+nLOFVRLxIuNGofwsSetHOqGUFKGwHWeGhywdwx9DERmNIPhdejaHJ2F0VWVJl/w9LNkLJRroZdPxv8v/oHj68zWNpJS33D7yex7d8zLgvh1IrQ8/AAM7u9ddG7S7tdQ33rHuFnzM+4Py+tzYZ5/3MNXy+60MEPEzpfTd39jmn2fkSkhO55slH+TkqkoQ3X6empgaz2dzmdR9GSVPLT/jKyprdf/X4/nyYU8pPqzdzZ4++7Z7Hjx8/p4iu7MNSW1vLzJkz+eCDD3j22Wcb7Vu7di3vvPMOI0eOBOCxxx7jtddeIy0t7agCy+LFixu9/+STT4iMjCQtLY0JEya0Z4mnnOCIAIoOWptsl+ucYMVSVUjQ/OGQu/NqEQwSol51UC3KzOOnLcu5ickAFL+6hT51bXt+q4Yp70wK4LxxSeQVmaEaPHIA2b7RmCx6zN58Aio9GCqjSLAV1M+jt64BCYrOiuOMKeoxVZ9BG0w8aXv2s8kZxxWReXzkuZGphnRihzeo9Q+TfuAQB73h3N69HI0IWtGHRnSjERR8iGyRwpGDExAFWLLqEHtLmyZMc8gK4dqjO6F2NSTJwL1RgdT6KhmkS2L85EVIYvstrhcNuJ/ggGgWZn5NgimWi/rdhig2dmKe2ONaemx7i/d3fMC03jchihI2j4tZK56nsOYgtho1Cqt3/NW8NrrlTLMpY0bD6z52rdvI6HMmt3vt7hr1olb5xacEnn9jk/1JiUmEiwd5d28As/L3Q3BCu+fy03qOP4OSnz8vncMk1K4r6h133MH06dOZMmVKE4FlzJgxzJkzh+nTp2OxWJg7dy5Op5OJEye2evzqatVxLjT06GHCLpcLl6vBBGO1NhUWTiUhMUb2rCtElhVEseFLLc3ZC4BXdgEGhCNyjyiKglzjRpfcoDrP2XkAAKvWicmjx23UYLD52DQgiBE71c8oxqm1XwwTboX0d9l2wTuMGH4xALVvJFFjiaF3aYNJrWBTMLEj1GP66vIstEs+IViUefLWs4nu1nCz8CkKwYKN/7u/6dP6kSgoaPDx4M03tHhcklYdavYyWSXo6Hv6yCsA/HXqBrb+NBDFW4x4An7Yk3pcw6QeR4+mEUWJO4fczb1rX+LLrU9y7bBnuW3N6+wv+A5ZNGEI7MuHk19jkKV11ZJ79e/LDq2Ost174DgEFssTX1Hx+zhsGcXN7tcERTHvzgmc+WYa/zd7Cfff6q+s7MdP16CL+bDMnj2bLVu28PzzzVennTt3Lh6Ph7CwMPR6Pbfeeivz5s2jR48erRpflmXuvfdexo4dS2pq6lHbPf/88wQHB9e/EhJO3VOax+Nh6dKlzJ49G7vdrr6EMmr02ZQXWnFVlFHy63wKv3uXiKpt9DaXcnCfamLJWL8du70WAG+JWu1Zl9igfs/M2k8gehQByqNceK5XVeZx3UPJCFXly9RRcVRYnYSFq2HVIxbegOfZECrWPU5gZRUOUy929zHg1Il8E3k2r/W4iCzdpXzhnYzNG4ro9bDCG8zo93cw5oGv+eyDHyjOzlOFrVY8hSmKmkq+1fyhaY3NSqYhjoEBp0/iuMPEBk2iUlfL/jUzT8l8k3tex5jQaF7btYD56f9hR+FvhIWMY9e160i7fC5DQuPqI41aQpIknAEBeK1HLyHQGsTgMCxnDcXngKKbzkWxNx0vITaWh/pW8U1pPPmHDjYzip8Tjz9xnJ/jpCv5sOTm5nLPPfewdOlSDIbm/Q8ef/xxqqqqWLZsGeHh4cyfP58rrriCVatWMWBAy7ke7rjjDtLT01m9evUx2z3yyCPcf//99e+tVuspE1pWrlzJmjVq9diUlBQWLVqk7jBD6ftnEcZBIgXVETJGD8RDmbMIJ1eTmBPGjvUbGDlxEq489UKujVb9Wvau2s7+mlzOH3gWynYnIBJoUjPixs7Prp9feW0bdiDo32Mpi9Cj9ciEVHvQbvwUETANuwJPwV7WjA7lLuExUoUtFFTmMu2q+5iVqn4Hjz7xCV+5DRRog3jiADxxYDsQQZjQ8s1KrUjSSoFFaOrqt37femQhkuEJPVs3RhciavwbOJdksZ+NxOavwBg38aTP+eo5c7j95wt5PO19AC4YcEe7xikvLsFiraa2Z+seLo6F5W+PU7rgYipXHyLgk/8j+G//atJm5oXT+WjPzzw/fxNwYhPX+fHj58TRWcyJbdKwpKWlUVJSwtChQ9FoNGg0GlauXMmbb76JRqPhwIEDvPXWW3z00UdMnjyZQYMG8eSTTzJ8+HDefvvtFse/8847WbhwIb/99hvx8cf28tfr9QQFBTV6nQqKiorYsWMHqampCIJQL6xccvFFBOCgWAinqO+TWK9eg/cfBXj/UcCO6P7UBrnIHKc62Mb/omPb0wvJXaTWntGEqwXvtm7aSohoYuhF4zC5fUQU64nOUNOZu4O07J/eIJDZvVbSVi5med9JrOmeSGWwFnNlNV5RIN0US6EnkUOojq7pfYayYs9OPnv6Ydwu1TH4uWdu4MBTk9n5yASu0DU4R5YrLTtbKkrrNDFH47vCMpLdpfSMPf0EFoD4CR+j9cL2HTejHCOC50Rh1IfyyYUrSI69ErdhAP2DIto1Tta+/QDE9+3dQsuW0ST1QR9S56inD2y2jdkSys2an1hvVYWVkMDTzEbYGfEnjvPTHjqJ022bBJbJkyezc+dOtm3bVv8aPnw4M2fOZNu2bdjtqonjjypoSZKOGXqpKAp33nkn8+bN49dffyUlpXMWxSsoKODdd9/FarXSv39/pkyZQlRUFCNHjmTgoMHEBXrIDUgl9qp7CeqdiibAiCbAiFunRZEk+o8YUT9WRZQdc62qpVICBFw2Jwerc+mb0Ittn31OiLgQgNIFqtkkKNrExPHJ1PwtFc9fevJj7jtY5/yX4l0JbEm7gM1h3XAG6tmXEol9/83E6LPIp0HACQuJwicKeI/w9ZEMBszBZv7vmetZ8Vc12qtPVU6Lx+F4ar66nLUs1nXn6oDa+hwzpxtSQBhxhpE4tb5mo6xOBqIoMW/yI0iRNzO/qKDlDs1QVVICQFR01AlZU9K8n0FUcBcUHbXNzYmFpA/9kW1PnM3w5GOVtvBz3BxvTQ0/f2I6x7nTJpOQ2Wxu4ldiNBoJCwsjNTUVj8dDjx49uPXWW3n55ZcJCwtj/vz5LF26lIULF9b3mTx5MhdffDF33nknoJqBvvrqKxYsWIDZbKaoSL3ABQcHExAQcLyf8YThcKiJzm699VZiYlRHxrFjxwKwa9N60JjIqVZw11ahM1kaOioAApFRMWTeUI5PlpnSbzzLf/6B3r+HIARq2PX7VjyCj0HjhjH/rZcYYvkCjVBEpfdeANLkdVQt30JqwkC8+1WhY3c1ROkVrMDO4pEMuPwjlmf9i35sRiqH2o1x6Ke4cOn0FNZWEQTog5qvIZTcM4HF9odIr3Lz4YcCRrMZrVaHKGkQJA0aSUOAToNBp+VQhaMum2/rOPJUX7ZrNU4pmqnJx/8U35kxGnuiWDfhcxShMScgy15qa3djMvVBFE9OFWGNKDEqwMo2uw5FUdosEFp37yU40EjvyPZpaP6IFBYLskDpl78Q/vjRWgmYAvQQ6K+sfGo4PR8S/JxsunCU0NHQarX8/PPPPPzww8yYMYPa2lp69OjBp59+yrRp0+rbHThwgLIjcjS88847AE0iiT7++GNuuOGGE7nE4+JwnZ4/5oYpysvlm4WLQBBBgF2Lv2LIZX+r3y8oPuS6m0fPPg0C3+GKuRqNlvT0dCI0FjSKjcIQCyU1oRh1mUhiOR7ZzAt8TlleJak5vRizTNVgeRW4tPAzXuAOamvDSd9zM/0M6lOy5Q0915fNp8gSxeIxExFlH71CIpGOkXZ9f3A820JMfLE/gaYnpgJ46l5xRItVbT5+ANutduJcpfROPLtd/bsKhtCBYP0Ke8FKTD2vYuu266iq2kBkxHkMGPDWSZt3VGgEi/P0lFj3ERXcRqHwwAHKUrq32km34NF/4ti6ta4gpqyeIooCsqxuO0JUVV7piyBpQJDqficCeJwgeyBm4NEn8XPC6Cx+CH66HkpdEVxB6NhAieMWWFasWNHofc+ePVvMbJudnd3ovdJFVJWVlaoPik7X8DQo+3ysWroEBIHJI4eT/u2HVMgmOEJgUS/eqgDwyt7VzCksQyvALXv1dAdcdgc5tYWM6zmc8n1qhllBCUEvFGB8ZgaLf7qHsqpKxgpDqKQGEAnUB+B02dA8mAX/9zIAUp2w4vMYqJniQz9bYMyONBaPmYjZ56OiuvKYT94+vQWDzQEI3Ds6hDumDUf2ulG8TjxuN06XA6fTjdPlwhI6uPUH7ojvt9jtwaK4jtH49CAoYTrCwX9QnfcT7rA4qqo2AOB05p/UecdF90XJz2FD6X4uaKPAoisvQ4hovXalduVKdImJBAwZopawEoQGYUQQQBQQPE607v0IgxPVyt+KrJZ7yEsDa77aPnZoWz+mn3bS0T4IfromyumoYTnd2bVrFyEhIY0ipH748nN25eSh8XkYe+55uNZ9TXbOHzJ8KjKKILCq5CAv52vRKMGYBBsoFsDLjt/S8CHTc2gv5n78HkJAIPo+56It+C+e/RsQgkOhCkRBQqxzOwoPjeJQYTbV+VlIioJPEHC5AvDVxBISFYJn6GaYrWP89s1EVZUx4YwzWblyMfsXLaTntBnNf0BFRjosXCgKWp0OdDrAhAFob+7Tw6d6eVUxCzTJ3ChntXOkroOoDcTsM2N1Z6Dx1Dlbx11LadnSdplrWktfs4UAMthcbeWCNvRzOZ0k788gZ+p5re+kKJjOnED4bbe1eZ1+OoKu8WDopxNy2Om2K4U1/5lxOp3k5eVx3nmNL+g2u1qR+d6/P4goSSQOGsH2fcuoyU7HnKyaf4Q6Dcvlu6wIKGwdN4Jwg4lV8naU4mpW7VyHXtSwbfF3WI1GBmm1mC65DfmN/2Jb9h+eMe6gf3YwmsocustG3D6lIeup4sNXdxI5nWbs2WMIj/RS6UgHVDXeuCXreSO+G9UJ51C1YQv91m5ABkyBgZiMRqqqqymx2aiUpPoT4n+bSlm8ez7zH5yOQXf80RtfbV7GP6tMmHwObhzU9nT1XZEgKY48YwZFex4kMLAbERFnk5f/OTU1OwkKOroZ5ODB1ykr/5XYmCuIj5/VpjklQaCPtpxt9rZ9ZzXWGiRFweK049i+HURJTXIoSghi8xcpxetVNSR+uhB+DYuf9nA4aMYvsHQJ7HY7siwjSQ02PKfdTmZRKQD6QDV0M37MDPhmGfkbFtEn+bC/iozDp/q9TDEJhBvUTLXJh+ZjZwy2OhPJZqsXgAELviRrwVfEDtdRrFtBjTmcPjlBKIJCaEAo0RGRJPaMJDv/AMg+eroOkqnvhq5oKLI0htx1S8jdlkKsNpdAj5ssIZSSGpEyTXdSlHRyFTcmr5fCaisOux2D10uURkNMYCA9BgygxhrI+uxq9tZoKa2qJSEypN3HTQCqq4p4QB/KWfZ0nh52BonRx5/no1PjtMKeHxFtFfVqqe7dHsBiGYkg6Ki2bicoaCBudwUFhd+QmHAjTmc+GfueRqMxU1LyMwAZNU9iNqcSHDy4TdMPDvTxbXUUPllGaqU/ilMBnyAQ+sF7ZH/Q+mrNYhep9eXHj5/20+DD0rEPKH6BpZWEhoYSExNDdnY2Q4eqNvf0zRsBCNFJaDTqE21gbHeC9F6KMnbV1wAqqyylh1MVaFKVBv8X57DhJOc8xNiE60nulUxV+g6cq7cSNKon7kOF2Ir1eOJVYcbs0KBNTWDCzAfB40Xes0IdRPHR37aK4B3l9K/ci+7hM/jhp3IA1vcIJdDpZMGbt7Bmy15umJeDDIyZMI5x5x5d9Z8KvPvzRl74vRSd9vidrHyiFkUQuTkhmh5xp2fulUZs+gCWP0OCTiRwyERip35fr0o1GXtSY90BwP79L1BY9B222gwcznyqqzfXDzFh/FbWrB1H+q67GT1qKZJ0dGfpPzI+LIKPqwNYW7SD8bGDW9VHH2Lh8uf/y5txFsYHB4Kvrlq4z4siy82rgkURQ19/8UI/fk5//D4sXYrDeWRsNlv9tvxDOaAo3P7Ag40u6DGRRgrySurfB3mM+AQvWq+HCneDHdkQ05u8bkVEJu4jKqkHsb3PRbzyYgQEalwCvmWfUpn3GSFWVRjypOey/JG7G61L+fQienjd6A8cRAkGX85mgsKTUWoKIEDH92Os7Fr+PheGT1TbI1BVWd7k85WWZpBdkMnu4kBSYlIorlQ/p/4EFCgMMoUgKF4KHPbjHqvTs/kjWP4MaI0YJj1G3JBZjZJ1hYaNJy/vC+Kt11JRsRqNxkxR8Y+ATFLS7SiKl/i4mWi1QQwe/DFpaVdQUvIzMTEXt3oJ5ySMIPLgCt7JqWm1wBKskVDCwnhfG8DZvU5zDdifmdM095Gfk0uD061fw9Il2LZtG4WFhVx//fX128rLy5FkHzp94zIFcT16kbliOx5bFVqjhVhjNBqPFb3so8rbkEAv3BLO2sRAYAll+5fUb3d5ddyz4jmilL7McKRw4baGtOX7E3tjwUv4IbVI4gWJUVy+2clUwFWtw/HZaoLP7M3MXmpUyt9swPpH+GXqWnUAj4e09D2cYbURFqSq8zMyfiYv/y7mZFzILzmTgd0AiMgYdMd/ikiCSITXSl5dHpvTlpI9sPA+6D4Zzn4aopuWokhKvJmysl/ZtFkVQPr3e43Q0DFIUiCS1DgjrCV4GBbLKIpLFrZJYNGIGv4S4eKF0hQ2F+9ieFT/FvvoRJEro0P5pKCsxbZ+uihdJBrTTyekkzjd+j3mWoHNZmPp0qUMHDiwURbeamsNBk1Tk0nssAnIikjxpsUA1FircDgcJMge9roaMp8adME4MGETezIy/lmGhd/P4ICr6Rn8VzyyDl+gnoOozpmG/mrW2i0DzsA97ibmnnceP04aT02gl2V9Gr5GscZGN61aDygTVZBarQ/FqlGdKTTmaBSNlrdefoODe/MAsDvqwqGFOCwGG29flMzTU2L44Mq+J8ThVgHi5BoK3Cc/TX2HUq4Kkcx4o1lhBUCrtTBs6Bx0ukgATKbe6HThTYSVw5hMvXA625659vY+ZxNOBe9lZ7TcuI6B5gBcskKVx9vm+fz48XM60zlMQn6BpRUsW7YMRVE455xzGm23ezwEGZveaCIGnYVW9FGwfR0AkigiI9JNJ1EoNmgsBEEgk9HU+LyYe12NZeAdhJ3xLMnD70cnuim0BbOdkQAoRQXIUiAph3byo/P/sGrnUxiynQnhN1NiEeoT0wEYseJWAom4Wy3Q6A2aQKXDA8DlV1xIYE0Siuhm26ZdjdYtinrCAuxMH92f66cMZfKQE2AaEFThPFaupUA4zR00N74HUQMgKO6YzbTaIMaNXcOI4fMwmY6dK0Wvi8Zuz8Juz25TviK9Rse4wErSHK0PRj/DYkIA/n2wsMvkRvLTevyJ4/y0F+VwlJA/rLlz89tvv7F161amT5+OyWSq315VVoZHEImIiGzSR9TpibJI5O/YyMFnBtFHziZN7s2+tELsIRFc8/1WJFFgy/4K4n19yKi8gJXZnxATrKfS5qZXuJUvbhzDFf8rosgQjRgu4yoHUbGTmrmXXQm7CTL2xGrbyeB+l7OpKIg5f5/Epk2xfGF8g1DdVoReU3H7VAdfgUAOlqg+KZ7SErQe9SbmEDazcuVqnK4NaDQgK0LrqzC3kTJFR5RwaurqdAg+D2T9DtNfgVZE5giCeMzQ5sNYQkagHPSwbv1kUvu/QVTU+a1eUmxAIDV2favzvsQadDzfK56H9+UxKdTMtAhLq+fy0zXwJ47z0y66YvHDPyPp6ekAdO/evdH235csAgTGTJ7SbL8sIZh8ezBa2cEWzSBWKoOpqJbQ5NaydkshqzYXIIoCVXUi4y+ZESzYCT/sCeflVd244n8NBeP0EzyImt6ABpdB1ejc0vdCAAaGx5Ks9GKPazlllmDCzMV4lThs4lCctWrCssA+k9lVqNYfMt08k7OXPkFESSmmoHm4PV8jilm4XKEIopajpNw4DgQUFKI0CivFSA7k7DjRE3QORA1ojeA5sX46luBhDB70CXp9DIVF89vUVxEMiIoPWXa3us8NceEMCwrk26LKNq7UT+fHr2Hxc7x0rMjgF1ha4JZbbsFsNvP+++8zZ84c0tPTURSFvZmZGAWF6PiEZvv1PO+vuGQNedO/Yehjv3P/v95n178vIvuZaWQ/q7423DUGu2U+glTD8N4VbHv6ag4+dx4/3BpJvCmf8MC66tcaCOmZgN5yJ/PPUENfD6vsJSS6Gbux12jDV3dBKnG/RuX2MQjLV+ORY9HoAxnTPRwApz4ASVG47OZZmEyVeCpjOXtKJtPO2wRIiMJJuKgp8PK4s5ERmX+w9T4VXQpBAEkLjqoTPnRY2HjCQsdTXv4bmftfaLW5RkZARKatN6opYUH8XlmDR1bYYrWxu/Y0d5b+M+GPEvLTDjqLScgvsLSAXq/npptuYvjw4dTU1PDtt98yd/Zs7IpAn15Hzyly9sTRKMCu7buO2ubJXz9BkSoJshSxO0+9qYiiyMCUESz5+0zevlrV6liCryB29PsIkpf4ajW7i0/x1bffY1OjemrDttJXfAIFVQvj2D8Qq/d6BECvUU+03SPOpswYyt6yW9XPF5aPx1UNwJqccPaWR7XzSB0FATw+GUETiMbrpdQNDpsNe20N9lorTlsNHqcNxWUDtx3FVYvPWYvHbsVtq8ZZW43DWondWkltdTnWqnIUuZM67/aaCttnn5ShJY3q/3Po0AdUVW1sVR9ZaZ/AMtgcSK1P5oadWUxLy+SsTRm4O+sx9+PHz8mnk5iE/D4srSA4OJgpU1TTz4oVK9SCj4LA+KnTjtpHtlsRgIOHCpvdb/e4WJL/BeHSMC4bVElfzX/4bvE72L2hKEiASE36GK5x9qVqpR455AICAqqJr+5FQVAmH239HwAZ36xjRs1gYDBvxH5Jf3t3yBkJghdJqUDAzX9+zWSFU513b4WDPihEec8kX/qZgPwgRE2dgONVT4dej32DT/AhST4kUWZYd5EvZs5s38ETBVasy2PAOjUiaTaBzP5tRfvGquOOlEIevPWm4xrjpND9LNgxG9w20J1YB+P4uGtxuYopK1tGSekSQkJGtdhHEKgrutk2gWVsiIk4vZblFVYCRBGHLPPcwUKe6nFsZ2I/fvycrvhT83dJBg8exIoVKxB8XiyhYc22URSFX959A9Fk4XtHMhceLGdUt8ZtFRlksZr+YYM4u18qefu+wKwtp1buA/jUirbZw4kDNDoXlfvOoUdYNanOvlQ79oPGSX93NwYVdqcqoJbE2ihej55LaG1d5lFFg49IdOIcahwj6yMEdBofgggaTyDoYdRV65AkNXT531MXsDfHwSFfT9za7jjcPrZlhrEjp7Tdx+vZqwaRXlJT/6FDqrPoIzrqK/oqsoJXVvAh4FNAqqv6Kwqq+k8UVan+8LZXV5dQXNtJnXeNqtkNawGEn9iMvoGBSQxI/Q+7dv+dkpJFdEu5G63Wcsw+IRqZGoLqSkq0fi6dKDJ/aE8KnG5GBhuZtSOLj/PLuD0hkij98Ye5+/Hjp2tx+P7R0XlY/AJLGzEZTehKC7Boj25N279pHbm7d3LJI8+wZp2TB7/dwZJ7JxCga7hrGPV6BEWPT/HRO34KO/YG4JAiuX7ax/Vt/vvzIvpPdhDiHsCqFflMfmwG5wZouIdZ1G4opGrefkKv7Utg/3BWPTkb88H7GOKJbbQWjVDEY9P7si14ME98uY2khCCELAHBoKZ6l6uqkSLUfC3R8nKiE+DMMz9CUyfEpDz6HUjt92GY1T8WGuUtO75U7h9t+uC4+p9UEkaBpIftX8PkJ07KFN1S7qa0dCnp6fcwePDHx6ztEa4Bj6Cjyusmoo1yRoJBR4JBjTL7b79E+qxOZ3m5lWtimxfS/fjxcxpTr6T1O912KTRaLandkokIDz9qm80/ziOh3wBSBg/lpcsHUWR18tZvmY3aVDvtIDoJM6iFBX2G3gR585DlI7QHQsvJKQ9LvIKoo9ATyleoESHanuq/CloURUYjCXXvQZAVTNGDGJRejfujAfBUMM7iTeo6FKFeWFEH9lJj7Vw3qU7pNijLYC8DQzBkrz5p0wQEJNKr1+NUVK6mpnb3MdtG6FWzVJmj4rjmDNZqGBIUyItZhRQ4Wx9x5MePn9MDpZOYhPwCSzsIjorGWlLcaNv+Tev54pH7qCjIp2DfHgZMPheAlHAjt53ZnQ9+zyKrrKEO0Udpair+CclDAIiLOh+z5CM9bx4Aiz9cj+LVs2uphVUr8gH44L7fWf3GVjwOFxs++QqA8s92s/cfC0l2RNSNXBc9ZGkoF6AoCjpJ/aqz9lsJra6k4n//I7zCg9GhFlesXXaPOp6mW6PPpfhMKL7Ok/BNUTr6J3MU1r4BbwwCWwmMuPmkThUVOQ2NxkxOzvvHjBgKNQQDUOasOu4570uKotjt5c1DJS039uPHz2lG5zAJ+QWWdmAOi6CmvLQ+WsVWVcmit1+h+GAm3z2nmgLi+6XWt//bxO5EBul56odd9TeYbzK/QudL4NyeqsAyKuUaKn0Su7NVk5DB7KrvL+nVHCoykHeoBkd5Ffut25AVGWuYFU+Il0L7Qa61LONfZ7wIgG+/6neiEYpQFIVp3SIYNSyYNandqdFJ+LKLqVCuAMAj6AnP3EWQ1YNSqmXBlLOYu/Qn3lj9CwBXjvVHiLRIVa7671mPQ+olJ3UqSQqkd69nKCn5iWrrlqO262aORFR8bK2uPu45zw4P5pb4CL4vrvCn7vfj58+G4tewdFlMoaH4vF6ctloANi+ch9etpr63lhZjMJowWkLq2xu0Ek+c34+V+0r5ZXcxy7M2UCPspZslqb6NTqPHHTgEkzsDh8fKuEvGMGBqOf3PKWPItAZXI0UBRVao9VZSO9pNvwenM+Dhi5jn+JKJI38ARf1KvYJ6gnmUbqDIHKooZ7f9dmq6vcN9t+hBVqjYpMVRoUWrqMLRiG3VJL59gF55hfzy8SZeW+jBElzBE+c2LknQkSgIHZ0KoCk+L+xbDEOvgwl/B7ENHq7tJDx8MgBVlZuO3iYghH5SDssrTkwelTsSI5EVeDm7qOXGfvz4OW1QOkktIb/TbTsIMKmp7Wc/8RCiJFGWm0NMrz5c/I8ncdXWYrSEIP7hpnV2vygm9o7gmR93E9tN1Vy8OOnxRm2GdruN/D03sf7Ax0zqcw8TLrocgJx96UAJotaGzW0kZ8deANJW/4ShZxT6gEBEjaVuFPWEcnYLRV8BNt9kKsor2bRmQf08osZDWZEWs7QD+fdQAkI9JExQ/RzMej3gxieo6//kuskYdfoTdeiOm06Zq/Pgb2DNh8GzTtmUGo2RqKgLOHDwZUJCRhMcPLjZdhODfLxXFUmtx41JqzuuOaP0Wi6NCmFRaTVPdY9Dc+LTIvvx46czUl+t2e902+UIi08krk8/giOjiOvTn8Hnns/kG28jwGTGEh2D1mBo0kcQBJ6a0Z8iq53d1tUkaCfSLaRxRE/v6IlU+zTklyxrtD3ALBM94mNMYUW4vLBgzUoASvL2M+9fjzL70XsJqbRRTTCvKw8DUJmuyqICPvKXf03O6i/rx9M7dKR1iyEjSKIkLAVXxI1s2tGLTJJZMvpcnHo99hADEwfaGBzXeI2dgU51m/S64Lu6nDCRfU7p1P36voTZ3I/NaZdSWDQfWW5qqpke2xMPOn7J335C5rw6Jox8l4ffKqwnZDw/fvx0Bfwali5LYLCFq57+vzb3Sw43cvYQF2vs1czqf1GT/YIg4NAloXEdbLS9pqoQS8paDNrLsBaBRdOTkBE9CDCLJPSMwONy8u/9eUQpxWzRhrLZVEiAGIozsAqvUMwu81hG90tkddVrALw3421+3vM2+QFmcuJ7M8s7kZ8MDX4qiiAw560H2/z5ThWdyiQ071ZwVsEF/1EjhE4hoqihW8q9bN9xM7t3P4BWE0x4+KRGbQZFDCCa5SwqdnBJ8vHP2c+kCuP/zS3h7PBT+3n9+PHTMXSWPCx+Dcsp5tnpZ2GQjBS4tza7P8QykjDRSWntIQAqi23s2/cUAFHdo5AFL2JpNNX7YyjaGkXvQWcw9rzzGdR7D0sPTkJeXcziqnRC5v+d1wdlMHPgeHpNmErP7on1c8TEp4JOh0+jwaWBCqxoXGq4qt7pJMDpPLkH4XRBUeDgSohKVf1XOoCwsEmMGLEAQdDicOQ02S+KEuONVtbYg5FPQHp9nShybWwY66ps/CenuOUOfvz46fr4nW7/nIQHhnBd/5nM3TeXCmfT/Bh94y5AFCA9bz4A2ZvnoDOroaRDRg/n1jcmcd2Lo+h1tppOvyB/D8uW3804zVLEYtW5MnFPFmZrFXlZH2MpfgZF8TWqASEIaqizvs6nwWMtRFuUhdbpRFNWwO5OnBysU/iwKAqU7oOMn8FRAVOe6rClCIJAkDkVk6kXpWXL8fmaOthOjYylAguby/adkDmfrkvR/1pOMWVuL1ut9lYXZPTjx09XpHOYhPwCSwdwbd9rERD4bNdnTfYlhQ7HIQuUVqk+B2ajegMK2P0NkqRBp9NiDjZiCFSFjf37v6eiYhu1mPElmwD4JXEkAIICouKk0N64AKOCAoqCJEkYHA6Mv76Kxl6DISsdsaaC7AgL38z9kbTte0/aMWgviiJ0eAEufn0W3h4Bs6+ByP7QbWLHrgdISb6bysr17N7zjybCw6S4wehwsazowAmZK1ASWTK8Fz5FIXVNOuel7ePH0uMPnfZzsvELlX7aR4NJyO90+6fDYrBwVZ+r+Hrv11S7Gl/oRVHE7g3EULKJxd+PJkd+FcWnpbyw8ZPz4Zu2ongoKe5GOGW8YrmPCNHBgPIDGELcrCnOZbLNzuKSLP6xveHp+rBpQBQleu/NAGCQ3OCPUG0I59B377Hiub+za8+JucmdFjirYd8SWPUyJI8HUxSc+2+QOr6+TkTEFPr0VnOzFBf/2GhfoDaQ/ppC1lhPXP6UQeZA1o/uy1PdVafsj/JKcfkrOncBOpMDmJ8ug+LXsPypua7fdciKzBd7vmiyT9mvJTDABrKW8h1RlGyczKFyF989/l3D03Od85Mi+wCBmL21bMgv58lRzzNiYDC+y9Uv9/WSMgrMZjSGBAI9w+mbZQZBBygIio8+GRm4wqKZ9NUnxNXdz5IjI+rXsuKXX0/ugWgjCh3kdFu8C14bAF9dAfpguOxjeCADuk9que8pIjJSrR5ea2tq+hlrFtjpicbuPTE5WQBi9DpuS4zk28Hd2VhtI2nlDn4urTph4/vx46ez4BdY/tSEBYRxRe8r+HL3l9S4axrtK6oazM7PejL1slWkJj1N4c4SNN5sikpD2LVSddY9fNooyCjAUo+eZYZAVhWY8Bm286P1QgDsaJgcmcCcKVN4as9EnrI+xKHHFjPdeBXRTrUekvHWvyBptVwxZz6SLJOkE9COOp/aoFicaxfw4tUXsyP9xPg/HC8Kp/gnk70a3p8I74yBoBi4cRHclw6miE4WrgQaTRBGY09yct6h1ta4dtX0uD640fP1gTUnfN5xIWYWDlWrU/8lPZvHMvNO+Bx+/PjpOPxRQn64of8NuHwuPt3xdqPtlpQeeN0SLo+TuDMGguIA1+8oso2tv6g3IkFUvzoFVS2SUJcufVFAOTm1vaklkAMk8grnESPKFJXa6CPFE6QLQ4jWoZcCGeCJAiBq4pkAiBoNkgJ4vdx9/22cceX1AGhkDz/9+2GcThd/KmQfLLwfCuoius55FpLGgCGoY9d1FARBYPiwbxFFAxkZTzbaNySiN2do9vN6oUSt+8RpWQ4zNNjI9jFqWe5FpdW4/eYhP35OHxSZjtaugF9g6VAiAiOYFB7F53u+pNrRECJqCYtERKCw9BBBUZGY9CHUusvwudKpLg/iv/ctYss8tb0oVSD7NORr1JQ6St1J5UPDnKLhLK+ewKwfkgn8aDdaUXXU7X33uZQZ7QRGD8U49SV0roYTUaOA26UKJudMGct9X/9At2sfQCe7+e6bxr4RHcEpMwl5HPBiMpRlwIVvw/U/Qs+zT8HEx4dGYyIqcjq1tXuR5cYC5jN9+1OpmHhg66KTMneUXsuy4b3Id3lYUFJ1Uubw48fPqUdB6XCHW/ALLB2K11vLGG0OLlnhg80NafpDQlTNR2l5AYIgMHbGTAYNPIfz77oIQdCjOPRoLR66TwigqsZKZWUcc4LUCKEjheDKwEjODCqkRrZyYEwk9hBdfZukWUNwhJUjGoJxZ6vCj6uyCrskcGRRAVEUufj8SVRH9OLAku8oKas6iUekE3FwJbisMOhq9ZUyoaNX1GrM5v54vdXs3984ueGA8L48FFnKAns3Pty38oTPa/P6+NtuNX9QjsN9wsf348dPB6GccmN8s/gz3XYgpaVLCBadjA+J47vsddw2shyTPgxjoFqryO5UfVtSL59KKlMBkD7egc8XgadaYuDEJN5/fxhxcW4+zLey1CzRr+pZjG4zXnwsC9oJKFSJNkYbA/F2A3taCYIgEJISif6cVCq+LkRxq+YkyaDWDDIGW5qsddY9d/HjY3exZOlKrr36wpN/cI6CGtZ8Ctj+NYSkwEXvdDpflZaIj59FQeE31NY2DUu/s+9U0qq/4en8FAZa9jLyBJYTKHJ72Gd3EqfXcnVM6Akb14+fPwPfvHwdoqmAyMTuCIIWQdQiihoEQYsoagkpXUeAyYIuJhVB1COKegRJhyDpQdBR7Q0AYxSSpMWgGDDojYiSFkHQIEg6JI0WUZQRJEkdX9IjSK0VAfwCy58eQdAiCFrGGwpYXWngmRU38X/nzsPrVSs/S2LTryemRyB5GYCo8N133wECl1zyAJ+8rBBvU9ikP8QseQJZzkw4otadt7yp34IYoAooslOdTxMQQLAgUZR9sEnbxOQEvIKEtbz8+D/4cXDSTUKyDBvehd3zYcabXU5YARAECZOxF05nQZN9oijyn6HnMnX9Gq7c5ePW0l+5t894DCcgNLvS4wPg7X5JxBmOr9CiHz9/NrRRWzFGOrB78kBUEBQZQVEQBNXQX3M4eLMq7cROrCgISp04UvevoKivw3i0neM66BdYOpDo6AuwWIazbftfuMiRxbdF+xmT/iaGcjXTbGhYdJM+PUd0Jy+jCMGrw2Q2U15ejk6nQwFERcEpePjQsBxj7nawDALqPLxlpUlkmmhU68Iobk/DmmISyM05gM/hQAoIqN9u0Gpw6cz4yspO/IHoTMy9FvYuVPOsDLiso1fTbtyeCrS65rUcQQYLC0aN5bFtC3mzuC9zSlfwnx4mxsWfcVxzJtYJKflOvznIj5+2YjCaUGyxnHvJkib7fD4PVc/0xGmKJ/LWL5B9ThSvA8XnQPG5KFnwTwRnBe4L/sPe9ds5WJLFlVMuQFY8KD4viuLFu3sNBuuXyIOuAq0eZHW7mkjUh6LIKMigyCiKT41AVWQEFKjKJaBgP5zVAQfmCPwCSwdSUbGGrduuo0f3fzC29kX2uUSe3/oBf60dA0CYzdakT2zfKGpNa/FpnJRmq8LD7r27caGlxOqEOhlDOULVJ6Pg2FuBYldNPwXPbkDx+NCEGahM/IXimh3kfPEKCjKGHpUobhNv3n8ntsQUFEFAEAQUQcToqoI9v3Puv8zYTEGIgoIo1j0BCGpUiKwoKIdlI0UV0xVFFdvrc9Qe/rtOcDryb7GJRkPBJwv4ZBGvD4q9FrzWdTz0xZmIde0FVL8bsW58CXXNUt3YYt3+wyF5PkXBB9T9JPHWHSOtqOXugzsJTr0ULvuovV9rp8DtLic4OPGo+yMCLLx3xixuKd7OvRlers1UeLTmZ27qc167Qxcj9VpEINvvv+LHT9sRjsjP9gckSYuiSCiKHm1QcpP9popKaoN707PH2RRskqmpthM98NxGbRxbdhBQ6oJhT0NASNvWtuF92Pl4y+1OMn6BpQPZsfN2APYfeBFBgIeH3MwdGz9GLvsNo5TMN/9+lqvuv4fw4efV93n9P/8BU8MYMjKLfloEehG7YQCgZqb1miz1bXzIKHYvxUIV5WINkc5gwpUgPGU1lEz+CslmRLL7QBGgl5PkKgfbD8XjLC2uUxcqgIIQYCLAUYvXXYXNI6Ao4hEvoV7waBBERI60ex7+Mdb/Jo9Q+ihH7FCOVAUpIoLoQxI9iKJMqKWS4KBsyn12ZJR6xZGvrpdc/1Ia/X14nwJI9a/Dgg5UKR7yRfguNoRba/Zxe1u/zE6Gx12OTttyTahhUYP4ObQPt6X9wuNFCfxSMZ8Ph08mWN++0O0LIy28lF1Eht3Jcz3jCdf5LzF+/LQKhaNLLEe2aQad7MCrsxy1meJ2EZD/hvpGE0Db6RxlHfxXkw7EbE6lqmpD/fvY0BE8MyIYJf+fhPbbxfasQXz3+uvMfC4JU2I/AC48byoLFi0m0myksMZKpcZBrTOJwVWJaL1mbMGqwOKOjENfdIhzQy7Bohhx4OZHfYPt82bf2cQ8OY59v4NGn4hdNnLOhXP47rfR1Ew9j0eGN87jAbCq5CCX77LyQpKXG7oNP8lH51jcc8JHVGSZ//30V96v3MpsjY9bZB+SKLXcsROiKDIudwlaraVV7c1aPV+MOp+v9v/KP/OiuXHjIuaecQGadlzY3uqXRE+jgf/LKmJksJGb4iNa7uTHjx/qVM/H3n8sweEYfT05h9AB7j4PoNMa2re8TuB06w9r7kD+mCcjLGw8E3v9lWE+L4FJyVz6zBuAwE/P/R3Fq5pzUocNR+d1UlJjQ0LCpbOywtuNLEGt3jw0KaphQEEgtDgfjdPOfSkvNmxXQPHI5H+4EwCXZg+SeTOy7MOoVCE24+wLnNYVeQVR5KYZH/PheZ9R4allwYEFHb2kduN0FgIKAQEJre4jCAIze07mlW561np789S279o1tyQI3J8cTaopgE/yy6j0nLj6RX78+DkGh6u2IByhpa6j7ncodOiD5vHjF1g6CK+3Bqt1GwA9uj/EWZPUDLayq4Ygl4ewuCEY43oy9fpZ5FWKfHHzVL646TzenHkRusx05GC1WGG5oYwRKT+wVefFi0Jo0iBqNbUAVJg9ONa+zvued8kxFFJiKFEnF1SzS1bCbY3W9NuKXmjxoJVMNEeDoabjJe2TxcCIgUxLmcbLm1+m1F7a0ctpF7KsRoQ5XUVt7ntp0lBuCi3lf9Z+zD3wW7vX8Ha/JErcHmZsySTT5mz3OH5OIKfxA8fpw7G+o6Nfd5UjdzfXTKl7cGiv1riTnDt+gaWDqKraBEBy8p0kJd1an0XQU7geAK1GFUiSzp7F2FHJRESFEWzwYNS46H31ZTxz331MPq87Ydod7FJyOKSVeS3YSa1cwOaIzaSHpLMxKYMFowUuCurGbxl/wSg1nKy7tEvwBqghyrJXj9Y9i7LcszmQeSnT+/612TU3kdpPU+4fdj817hpW56/u6KW0C70+Co3GQkbG46xZM56y8hVt6v/0gMmcoT/EfYfMvJ/RvgRzvY0GfhjakyqPj2cPNg2v9tNRnL4PG6c9h+OOj7q7rt5P/V9HoNSVyhCOw8zdCVI8HJfA8sILLyAIAvfee2/9tqKiIq699lqio6MxGo0MHTq0Ll/IsXn77bdJTk7GYDAwatQoNm7ceDxL6/SYgwYCYDL1brzDql7cJXeDuWj0/W8x9YU5hI3vz+X9M5k2YxYAY4ZfzQfFpbxRUndDEGB74SHKDeVkWDKoDLTzXvSLDNd/QrjuKR6s6IchJJW/Os8iz7MKAMU2CtkVw4SpT/Nb0bUcPHQ+QbrmNSx/FqKMUUQbo8mtye3opbQLjcbM6NFL6NvnBby+GgoK5rapvySKfD3qPKYaDvBEQTCPbV2I3I7aQH2MATyQEs2ycqvfNOTHz3FSH3nZAs2KFYc1LO0WWDrHw2q7BZZNmzbx3nvvMXDgwEbbr7vuOjIyMvjhhx/YuXMnl1xyCVdccQVbt2496lhz5szh/vvv58knn2TLli0MGjSIc889l5KSkvYur9OjkVSfE0X+w4U8ZjAAnuDGzoqKLJOU/QuZiVOQ6kKWJUlDWsQZ7GUoslnd9vPeMHy2FLWPADdKDTH9odrXOKtKjeYJSlRDXmWqwKeGuEV48xklLWTDivfI2LeW9b+9yxu/vMj5y9/k3i0/8/7B7UBzocenH/GmePZVdo4K1e1BrwsnNvZywsIm4XK1/Xek1+j5YNRl3GY5wIdV8dyb9kO7fJjODgvCp8Cqyto29/Xjx8+RHMvpVjhiV9N2wuH7zFH8E7sK7RJYamtrmTlzJh988AEhIY3judeuXctdd93FyJEj6datG4899hgWi4W0tKNn53v11Ve5+eabufHGG+nXrx/vvvsugYGBfPRR186FcSxEMQAQ8Pka51rRhfZFBnyV+xtt339wE3GOAgJTL260PcdVzL/H34t7TBSKRiDHF06oT81aGmIPZ6io+sZkxVyPRiymv2c2suIjrM86AATDAUwBwwC4SpjPxeJ7jFrxEL2/Oo/RK//BzE3/ZbM4gdnVsfzq7A6KTIop/CQckc7FtG7TWJm3kkPWQx29lOMiNGQsVutWbLYDbe4rihJPDbmUhyJymVubzOPb2140Md6gI1qnZU/tia8Q7cfP6UXLD4JmVy7lG+dTtXURlWk/Ub1jKVXbf0FUPFBvElIfVhtx2CTE8UQ+dvyDarsEljvuuIPp06czZcqUJvvGjBnDnDlzqKioQJZlZs+ejdPpZOLEic2O5Xa7SUtLazSWKIpMmTKFdevWHXUNLpcLq9Xa6NWVEAQBjSaYgsJvqanZ1bBd0uEO0ENlVqP2Jdu/p0pjpm//horB3+/8ng3JKfXvH7xA1cooRTOYnD+ZK3c8zju2u9gjJ6It+AmXTcIgbkIUJES3CV2FGVHyYghQtS1Boo8qTa9G84Z7qoh1ZZM/cRAHJgwgc8IgxkUcPSHZ6cLAcFVzWOWq6tiFHCdRUecDUF29pd1j3J86g1uC9vBhZSzPZma1WdMSa9Cyz+53vPXj53jwaowEK+WE/Xw9lgVXEfLjNQR/fxmWeZdjVmqwllaoDZvTgP9ZnW5nz57Nli1beP7555vdP3fuXDweD2FhYej1em699VbmzZtHjx49mm1fVlaGz+cjKiqq0faoqCiKio4e5fD8888THBxc/0pIaH0IZ2ehf7+X8XqtbN12faMQZ5clHG1pdqO2cQcXkRE/Ca1WTX/uk2WCSx9klOkQWp+b2IoSMnPWAmCVzVjcFjyaGsyyln95ZxEvlFEQPAhBqMLtsaEtNSC41ZN322LVsVKQvchiAFujJ5BjTGJTrJqHecv668HrwihJmDVdMzdJW/HW/cBdPlcLLTs3Pp9qiskv+Bq3u/1lFW6KcHE1X/FWXjVP7i/A4Wu9T0u0TkuN19fuuf34+VOg0Jy7bD3h9/9G1WULKJ8xmzUht/H5wSHsH/YSJed8zBd5I0lX1FIsh8WVIx8shPLd6rbcze1fXydwBWiTwJKbm8s999zDl19+icHQfPKZxx9/nKqqKpYtW8bmzZu5//77ueKKK9i5c+cJWfBhHnnkEaqrq+tfubldz0EyPHwSAwb8F4+nkvLy3+u3+6L7EFBVjiKrF/nsQztItuWg699QJbnaZUX0KVyyNpN/r3ubC3auZXuBOoZPEQEFXf9vuSrk39y+/hsAUrxbEAUFe+hGfJ5yXNFVKD6wFeWwP20Pis+HImoZctuPJD24gxG3zKuf70DG/JN/QDoRy3KWEaAJoLule0cv5bjQakMJChqM1bqdzZsvR5bblzbfZs/kKuNuHu8eywd5pdyyK7vVmpYKj5cI3fEXV/Tj58+M1mjBkjqRsGHnoUSnUuIyETzoHCLHXEKx24IiHi44qgoWjX6fJtV1Q7fpURRPe64BXVDDkpaWRklJCUOHDkWj0aDRaFi5ciVvvvkmGo2GAwcO8NZbb/HRRx8xefJkBg0axJNPPsnw4cN5++23mx0zPDwcSZIoLi5utL24uJjo6KbF/w6j1+sJCgpq9OqKmIw9MZn6UFT8Y/02Mf4MNF4ZT5Ea+lxeuBeAhO4NxelyqjPRu9Wn3IM+1Szk1FUDYBA8JCSk07v3WkKEcoK0jc1l7gMHccWqJ3WwdCs+Zxgrv/gCZC/CH5yyNk+4Vx3T0MbaE10YRVFYkr2EaSnTCDU0X0CwqyAIIsOHfUtq/zdwOPPYvecf7XKe9flsaLUW7kiM5P3+ySwtt7KsvHVm2HCdhvRax2mdeNCPn+Oltb8On9eLe0sl3UwDjzDVKPWqleYUIZrRV+CKV9NVHFnstqvRJoFl8uTJ7Ny5k23bttW/hg8fzsyZM9m2bRt2u10dVGw8rCRJRw2L1Ol0DBs2jOXLl9dvk2WZ5cuXc8YZx1c9tqsQFXk+ZWXL8XprANB3mw6A6+DPjdodmYF2574XcP+h5LfXozrDjjfuITllGwDBlrNwD2jQhm0ZEIQ3KwvdRwFkzk/CUtWN7iOnU1WwnUMVXmzexgKLXOd0GhDQtW/cLaEoCq+mvcorm19hVf4qcmtymZLU1EerKyIIAlFR59Oj+4MUF/9AZeXa4xrv/IhgRgQZ+SCvdYn1bogLJ8PmZE2VP1LIj5+jc2yTy/7vVrH9xe/J+2ULvYQhjIg4D42iO6JF48xxTR4QoutSaMjtMO0oSovrOxW0SWAxm82kpqY2ehmNRsLCwkhNTaVPnz706NGDW2+9lY0bN3LgwAFeeeUVli5dykUXXVQ/zuTJk3nrrbfq399///188MEHfPrpp+zZs4fbb78dm83GjTfeeMI+aGcmOuZiQODgwddxOPLQmpOwB2iQ8zfVtWgqe8d5t+HTiMQMWsqv7u5s8iRQXqI6WCYbC+vbGdy9cA8ws3ZECGkDg6kM0aEtLSMkajw9HGdTujaLSdddjCAGs75Iw9LMxidl93H/oEYQcHxxCYq3a1bhrXZV8+LGF3l3+7t4/xhGDlQ4K/g281s+Tv+YT3Z9wh3L7yDUEMqomFEdsNqTR0LCXwgKGsLuPf/Aam2jifZIe7ggcHVsKKsqa8l3tnxOjLWY6Bmo56O89vvQ+PHzp0A4up7FtbmcsMoIpN8b/Oo0mjpTqwKCqF67m/NhgQbNi9L2lEqdhhOa6Var1fLzzz8TERHBjBkzGDhwIJ999hmffvop06ZNq2934MABysoaLl5XXnklL7/8Mk888QSDBw9m27ZtLF68uIkj7umKQR9NSspd5OZ9wtp1Z7J6zRjspgCk8uwW+56fuYZDcii7fNEoXtVs4ysfTOTu67DknkVAZW8Sdj1F+hYtt9QG8WKRgW/Hg3fNSvqEjSNRM5qD7y5m8vV3AmAKbOxUGxbeh51THiHRYWXfnCtO+Gc/Htbmr+W+3+47Zujx4uzFnPf9eXyx5wve3vY2B6sPAmD32NlVtotfD/3KmXPO5Jl1zzAgfAD/Oes/nBl/Jq9Peh2teHr5XYiihgED3kKrtbBl6zWNotNag6LI+HxOZNnF+eFmDKLA/JKqFvsJgsCMSAu/V9a0c+V+/Pg5TLVYXv+3cqRJqA7haM6xOrWYqVzR9pIdnYXjziKzYsWKRu979uzZYmbb7OzsJtvuvPNO7rzzzuNdTpclKfEmdNoQ7PZscg69hz1AJKSqeWnb5fMyaVUZHklgW/5AygwegmQvW3W1TAj3UuDQEJJ3VkMHEb4LCsKtuCn0CAiKjFtqGDvMGoFkDiY2BMzGpqfEGWMeYmnOKsZmruDLX+7hvPFPEtrBJqK9FXu5ddmtgPoDfXXiq03abCjcwIMrHwTg6TFP8+TaJzlQdYBeIb146PeHWJnXkHb+P2f9h35h/YgMjGRiwsRT8hk6AoM+muHD5rJ+w3ns2ftPRo6Y36p+gqilqmoDK1b2B0CSTIwKnsuayhruSIxssX++00NSgK7Fdn78+GnMgflrkNdaMQnBVJrKGPD4xWQtXI929R99URoLKn/UsGgGnwVrwLt9FdqUbm1chdIpooS6dtq70whBkIiNvQJFkTGZ+xJhPIS05AmQZbbV2BkGVHq8hALj514CifF8WFPG4DG3EPb73eTau3PBhGguPX8iAMv/OYfevlgAtuvyKApuOLln/vtb8v9yO6DWBxIQQBRAUZqVzgVBYOxls1n5Rk9eKPyVF+b+yi+X/kKMKeZkH5YmFNmKOGQ9xF9/UR3IBkcMZnX+anKtuSQEJTB//3w+Sf8EQRDYX7Wf/mH9+Xza52hFLd9nfs/cjLmMiR3DyryVnJdyHn1C+xBrjD2thZQ/IkmBxMdfy8GDr6Mc5Tv/I9273U9Y6ARAobZ2LzmH3mewUeTz4tYlhNtYXctZoV3TMd6Pn1ND49+hx+vlrdnLGJZlJYEwrBFWwsb0xFZSWS+sCILAskceALcLbV0aEE9u85pMMSIenxQNmUuA60/qJzlZ+AWWToYgiERHzYCy+SB7wVlFrE6Lu0aibN8BvMVWHO4sEEUyXCZCAU1QEUu7j2JSVINz7a7AfeQ7y7FqKnkveTagKg0v73ElfcP6UnX7zbACbHobJpcJBAXBZQOHah+VS/Kp/WElvv6RZOodCO5axtkbbk7nfHcOtw+6nXOTzsVmCyMp1Ehw4Mk3ody5/E4yKjMAeHTUo4yKGcWF8y/k2Q3P8vSYp3l8zeP1bcfGjm1k2pmWMo3nNz7P73lq+Pffh/+dyMCWtQOnI8bA7siyA6ezgICAuBbbGwyxREdfAEBZeTA5h96nV6CWco+NcreXMN2xLyW1Ppn/5Zdxb3KUP8S5g5Bl1/EVv/NzclHq/wfAuq0ZvJHu4zUlnDi8DPi7mtaiaLN6/asyVuDdvZXtBzOIrqolJrwu061W/Y6bi8rzxs9Alz0HxeNF0Lbh9t9JIvz81Zo7K1q11hAeOwlZ+Rz4KYqgv96KfNklaFxaZK+JtGHnsojpbEqeR07INoppSM6llBZwUCrB0mMVk82qNG4Pupj3HGeSunI1F+v7k2kSqNKop8Di9xcyLvpfpAY+Sc2nX1Lw6kGs+xOwL1AYtuBuRiy+DbOikHiEjPvO9nf4+8qHuOCtNfzjux2n5LAc1upMiJ/Alb2vpFtwN+4fdj8bizby8uaXEQWRNye9SZwpjsdGP4ZB0yDExZvjAXh/x/ukhqX+aYUVAEOAeixc7rbZsxVFobBQNfn2NOoBjpnFNsfh4qfSKi6IsABw4Zb9yJ3k4vdnwu0uo7zid5R25uHxc/IpCTCRqwvgs3UbmbtxM0t3Z5KAyAhBi1bQ43E5ydu6A1u+6v9pHhPDkvffJFiG1KIq9Hr1WqeNMSIIPnxuJ7LvDwkb+5yHJFjxbl3yx+lbgd8k5OdohHVXC1Vt/ZJYr4tiwP3Cv0jL+ZzEmjPYVj2IT7qpN+9k268IWidFR8TXC9UVEByB2xHNjJhMhnqiedQ8EVkyU1bnJV6lF4ixqoKR2degrq/ekwi4CZ0kUfWbjSrPLSy/xMyjlUMIK7kPvF7+Nfqf/GvjS7hctdwoLeK7XROAYSf9sJi1ZoZGDuXtyQ15fc5KPItX015lSfYSrut3HZMSJzEpcVKTvn1C+wCQbc3mrbPearL/z4RWo37fXk/bSlo4HNmUlKjh9okBwUAxxa6j53W4b28ua48IZz7ocFHrkwn6k2RM7iy43Wradr3+6Lmt/HQsxQHqb/JVp+rrZdij5UXUh4KaFCfuTdswLPTUbYHt336JXVC4+oF/UnLL7Qh1WdBl7QHGjvuatRu/UhsqAigiiD4CbDAG0P58Dc5FAm5RxCOI+ASBSI+bLbH9cEX0Im7vYmRBrH/1sFvxClKHCwwdPb+foxHWHcbcxd61L/FGTSS3iyJlK+YRNX4fd4ek83LOvWxFFVhsslqdM9piQZZl5j3/FB67jWnOwcTsn0xm0nriInIJQxV8ACwaCUNSMKYtlQBExYZS5pHRSxCiKyXk0lT0g/uwIWsVpopRXDB4LHev2kNI2HVQ/B4fbfs/REFiTEkGj2nXo4+IaP5znAKSgpJ4btxzGDQGzk46+6jtIgMjuWvIXcQYYzgz4cxTuMLOh6KoT15CG00Eh/sNGzoHSdK30BpcssylUSH8u2ccAqAXRQySX7F7qjEYYjCZ+lBY9B0xMZcQEjK6o5fk5w+EaDSIyKzvn4DN7WH6knzW4GUsWqRcI75sG6Bjd9U6ih3ZlDgPMaRXKlGjzqDM50NnMgIgxbgRahUSdPehFQ0oshdF8XHIORtHYD4b4q7DHWFHkN2IPjei183ojF8BGFqwGwp2U6LVkx8/AEX2guzlt8AKdgpu7u7A4wN+gaVzM+Ehnsr5jjN2KPwyoj9CYTXhu0JIHl3Ix0Uv870vnWe6387ogm5kmrPpF6Tj07/fQUV+LpJWS6ygChGhWTPw9Iulxm3mr0H7WOjsh1dRiOwdBnUCy5BrhrP/01xEWaA8KBlLipo9VykTqRD1aEUNUUI5ufpxJIRVkVU+B53gRlun3h+QtoyfZv2OoCj1tlhBVv8WFAWbxcDqq/rWVxFVFIXD/6kbqH9/2PZav7++iUJmZWa9aedIZnSf0apDesvAW9rxRZx+HE7RL7Q5dLtBLayty/vgbsHEoxcFLG2xl/s54Wg0ZkaO+IH1G6ZRWDTPL7B0QkRBQCsIJIeFIcsK2hQzK6weJtZAmCDgcxZhqSjEodlLoM7LyO5DGPvY01QWFSH5fNTq1AcIUVIfQmIHX47J1JAaJG3l9zhdgVx383+azO3x2Nn+6TkMz1PzM9mu/pIh3Roe/j5J/4TZO973Cyx+joEukNyAIML7ppCyuwoASScTaPcR7armb3mzebHbjVw1Kh1IJ3/fQqqKewMiPo+HbRW/MTh0EpFZ48nUvIk9ZRLdAw14HSAJAgndQjhs0c5dt48ij4EEnUBwuYOKXeXEjonFoYFoh4IkSqwcXdZNJAAARfFJREFUPZzLNyxlZ+A5nOFcguwpJ7lapOpAIJoqNwoeEEARBFULKQgElzsJLVGddZddkoyiETj8H6he7vX/Cc3/e7gdwJDIIX967ciJoLJyHSBgOA4TgbbuO/H6fVK6BIIgEWTuj8PR9equHUltbQZW63ZiYi5DEE4fbZ2ACHV+iKIocFVyJB9pHIw/oz8DNuzm1u+2MfbAZi78/bdG/ZzVqln3j95Jsqz+Ln/c+gjVFSuIEUooCBjU7NxabSCBNtVsmH3JO6R0O7qmuiPxCyydGLvHTr+8fsRUaIEqALxF/Uiy20FU6wb13bMd+qrtBQHOS9pF+ZJQioOMJKUOABv4FAteg3oyRuh0yIqCThSx++T6E6A8u4wsRwRDrh+EZ24mVYuyiB4djS9Qg8OoSuwWQzAv9k1l2i4n6WHP8apyO3H7YynYWs6kLUvQ6SxNPkP2rFk4StIwjhnDO1PfO4lHy09bsNbsxGzqR2BgSht71qX9RqHUrWYNDtUc/TLiF2U6FxpNEF7bvla1rahYQ27uJ0RFzaiPEOsoSkoWs2fvI0REnENJyc/4fHa02lAiIk6P8hmA+rB3xC/mqr7RfHAgmxFrdoFGQBEFdM34vYYlJ1EpCISKzRcTspb9jFlwUCYlcM7gl446vf7sf7Fx73xGDrzmhHyck8HpI56ehuwq30WtsZjEuK312+yllcwreZGttgu5x/4k49YupNAaAvYwAILjHYTanPQtLMeHGo8va+zkRqsOXS/lC/gUBQ3gsjfI5Hl5MlrZSVByMABBHhlXtRtZEFQzTx39Q7szWptNDWZ+YRqKSUTwCigOe5P1uw4exPH/7d13fBRl/sDxz8xsTzbJplcSSOi9SVEUBOUURcXCoacoKme53+mppydWznZ36tk9z352RfFseCpNFFARCL2nk7rpyWbrzO+PCYGQBAiEZAPP+/XKeZl5ZuaZh93sd595nu/z61oSn3iCHq+/1uHtIxw9CRlXQzY+X/XRnUDT2Fav95z1DWl95fb91xKChcFgx38E/+Z+fy2bNt9MVfWvbNn6J7ZsuY1A4Mhy7nQ0TdPYtftR/P4aioo+xmh0oCihjb2EJxKpWYQ/ICUcu0vFbZBIqVMZGGLVH7MfRDEY8BsMaG5341n2rSWkz64IoOBSEpk5cTlx9rZXn08fcDGnzHi7A++n44mAJYitL13P6B478dfrPRyKpNLg9+HxFbOq9mpMznI+PDuHJbuH4czWH5NUl5jxOPSgw1+xCwCvrYTPuBiAnYE4agIq1bk15D67PxCqsiXjMdixRlrxjtUTzmU9l4lM87WyzAYj7489B4AF0uW4zPq6RfW5Ldem8ezUrx9y6viOahKhg/TocR0AK1dNwO0uOkzp/Q5MMre1zk2IIosMtt2IwRiOz3/4mWF7Cz8kEHAzZszXDOj/BCWlX1JUtLBFObe7kKrqtXqOl+OkoOA/uN17GTL4X4wY/i5jTvmK6KiJ1NRuPm7X7Ap6oNE8xf5/h6fzWXoqa84fgdmo0FqfpSzLKGqABn8lBQVrqa/PBvYHLMgmVO34/ft0JhGwBLEzks/gi+ohlO+OAOCmF15HliQ0vz7XZ0CxvuruqN2X49yiBxFZFZFI9S48BoXKTH2/31rOLPZHzkpuHf7cOn6wQIG5nPUuPwFgWIq+RkX0cH2wbmi9F1kD9aAuRqvBzLk2/U3hj9LfQJVZK1q5g8bBs77uu5z5icpmS2PQwGcJBOpZueo0/P76dp5BI6fBQ0+rGfmg14fT6+eWbXm8kFcaLPmmhEZmUyyBQB1e76EXonQ6lxIdPQmLOZ6EhIuICB+N07mYwsKPqaxaw4aNc9mwcS6rVp/J2rWXsWPHg8elvh5PKTt3PYTZHI/DMQ6HYywGgx2brScuV9ZxuWaXkaQW4cjAxHDG9HA07pdb7WGRJAlZVQlIX7Bj52V4fe8DYNiXgyrQgEGxHceKdx4RsASxOsLZljSPr0+bAcCWTxaiYm7qYw81nkF4w/7pxKrfyA+DPJi8Psz+ADTU4N3+EXENnxFFOTc2vECfPfWElXkIr/YRnmQnYoidHJeePGz8vEsACEsNo65XBAFA0Vpfjfy0cH0KXfbuQQA40loOhK369FMAyl99tUPaQ+hYDsf+1aiLiha0+3iTLLU64PYbZzUfFlfw0J5C1te2fFQodB2HYxwA5eWtfcHYz+MpwWpJafo9Onoy5RUr2Lb9Ltat+y1O5xKcziUkJs4ktcdcCosW4HQuO8QZj05JyReAzOhRCzEY7E3bLZZEfL4KcnJPpHFx+jpvhy7ResCiGTUsSl+SEp8mKfEp+vR+n9DQaABCJBcGc2K7auJX/Wwr39auYzqDCFiC2J07cgDYnjEYgGWLvwLNTe/d/+XM5TdTFjuGU/LOayq/U+1PsQOyGmeyRdfV4dn+HQ5vJgO31VKzJlnvdFS1xs5HDTUQIODbjaa6+eG1RWx5fylZSzbiKq1AAeLKa1A8LZ9dz8qYAEBlnv5HLWJIy8FvrlX6M+ZARWXHNIjQoRTFxrixiwFwNeQc4VFNi9djkmQaAioBTWNdtd5Dk9fg4b+llQcdIUaxBAuzOQZHxFhycv+Nqrbd86mqbpQDvpXHx0/HZssgKmoSQ4e8wuhRnzJp4g769Z1Pz563EukYz9Ztf6a2tuM+5BoaCsjKfpqkpMsxm+Oa7YuP13t9ysu/b+Po7qj5I6EW5NZ7WAAwSYSZk+jX73z69ZtOSsopTbuskgpyaLtqct2313HZl5fxVdZX7TrueBOzhILYHQ1XcwOv4zHYGJldRFZsBF5FIbxxvZ8Eu4ssTY85y8IUXjbcz3uDfmFNxsuENbjITIMpGyXylkbxZupvKEqNwqDIaFrjW0MDNaCi+QvBMopNv+4bPOkkxSQRazMQ6zUj7dkETGhWN6vBikHzMmT7FiodEchyy9g37cMPyJ5xMcb4uBb7hOBgs/UkPHwEgXY/EgKnz0eMycA3zmrmbM7hjUFpXLM5p+MrKXSo3r3v4Zc1F7Bl621kpP8Zq7VHizKBgBtZ3j+Y2mSKZtzY1tO5K4qZQYOeYX3mbDI3XM24sUswGNr3AXkwTdPYvv0eDIZwMtLvaLFflo1ERIymsGjBES/gGfxaBiw+p5Pdp02gcPQYAmXlLfbvo8mgBQIs2nAfroZ8bJZEzh32KJUNxZhlUKytL1T72dZ17HEW4zXkEGpVUTUVTdPYWKYvtVLeUN6RN3jMRMASpDRNw4SP17iSR7T5xNW4iKvZ371eERHBavs2LN5QtqR9zNLRl6LKEqPTL2Pia7+nLH8X0WfpUxFdpWZ2pSYT31DLtmoPnioPHkAFNDWA6s8nJP9xKsIiSfYaGJqcQe2PqzHOm8cvn7yDUQoAN7WoY0idm+SSYsqjIlu9B8uAAZgy0lG9Yv2SYGaz9cLpXILPV4nR6DhM6f3TmlUNDJJED4s+6La1YKWP7dAziITOZ7cPYNDAp9m+4x5WlX5NQvwM0tPvwGzev7aWqnqQjyCT8T5Go4Mhg19i5aoJlDkXkxB/4THVsWDv21RU/siwoW80exR0IIdjHDm5L1JR8SNRURNaLdOtSDIHBySVjTlWEtf8DIkplJ0yrvVDNdBQMZe/h6yB0QXFNddQ5coDICK05ewgfyDALW/nY4xYgyX+s469l+NEPBIKUpIkcer4H5CAh8z/wnZ+87VxasLDsODHYK4i1h3LXfWP8a52MTtLVwIQk9Kb0pFpTeUrTknmdL+z2dsh1m5GVfVnphV2G2huYjISiOwdT6irkLABiXgVrc1OynGb1gEQ9dKTbd+IP4Aki3VjglnPtD/g81VSVPTpYcse+E3WKEt4VI3+odZWyyaYjdgU+eC0EEIQiIubxmmnrqZPnwdwli9lzZoLcbmyj+mcFksiFksS9XVHluelLXX1u9i9+28kJ19JVNTpbZZzOMZhtw8mv+A/x3S94CHBQWNYNLserJU+/BiTl37LRc880fqhfsCof5w7JT0Z5De/zuHXTbcBEGFLa/04zUB0iP6F4/mJr7Bw+kI+u+AzHjvtsWO7leNE9LAEMYslkcln7gHAHbWdbWuLsRTqz4iVgIosweRvN1Md3otwWw7eUbB37UqGp+jjWk598zOWv/0Pdi7ZwynbN6I01PLTzRP4+cEfMASgX/lGlqxbR1Wol8w+VUwuUIn+Oo9Kqz67iIBfj9wP+MT5fpeTV3cUoUgSd72tD3jrP7jtNN++0lIMceKRUDCzWlNwRIylqPgTevSYc8THZbk8JFqMNARaHygo4pTgpihWUpKvJDZmKuvWX0lm5hzGjv0GWTYhSUrTulHtYTCE4Q/UHb7gIWRlPYXFkkhG+l8OWU6SJOyh/amr33FM1wsWemZv7eCNB/6n7WN9IJv1Lw5GSyrFLg8W6pBlGadpEBNj2v4bHWsPpw7weELo7egNgNN16FlkXUUELN2EpV8/okfezOrYxzHUuKgJBYPPx8Yh+qOajB9+wjBqLxXlxU3HGIwmpsy5lz/GfElFaDI3rvuR840K6QG9x8NbGEKs2U9xqIec+AYya1Wm+lRUnw+sVowpKUhozaY1v72rmKUWPyGtJIo7mK+0FM3lQjK2d70aobMlp1zFpk03UVOzkbCwIUd0TLTJQKUvwL/zywCwKzKvD+rJKREhPJFdzFuF5WTWuhhsb70HRggOZnMsgwc9xy9rzmP3nn+QmDgTVW1AltufX8fnrcBkjDqm+jS4coh0nIaiHP5xosdbSk3NBsrLVxyyN6Y7cFauIUyqYfyn1xBQfaiqF1O9m4djR7L1uzA2fbcUm68SrSmskRr/v4Q06mFGBnahamC1JDJ9/HutXuP7rO3c/dlqJCQUWQKi9yea6wZ5qcUjoW6k7vxwHjpnL32yyxi1qYCwmv0JoF4ZfgPV/lCSeq5g2aalzY6rCNUXC3x55GnsqXdT0uMxyns+RcKjFzFxuoXxiXovzkRHNbWp+mA5z9PPYoiIQFa1FuF9pEcjFCt+WSH7/25tu75LlgAQekb3/kNyMoiO0h85rvn1oiM7QNPIsFnIbfAwsPGR0GuDejIh0o5Zlkm3man169/Qe9uOfCyE0DVCQ/vQO+Me8vPf4Oeff4PR6CA66sx2nSMQcOH1lWMyH9vK7W5PEeYjXOPKZusFwI4dDzQtmtpdeQO1SIAsKViNdsKt8YTF9GH9MH2MoMPkJCXGTWqsm57xHnoluMlIdNMz3oXH4sCfoa/RcqjA44st2ygsicXtC1DT4Cc8opBBCfr0Z+0wU6qDgehh6UZCI8MhG2b9Rf9nuya7iOiUV1i/cRbrPOGscT7DTYG3sO79O+P7jcVs1KclTrTksdzdA1WD89bt4m0tQKBxRU80DX9jhG3XVGr6O7Dn1mGWQPN6kTQVVdr/MjkwdFFluc0/Emp9PWXPv4B11EhMKSmtlhGChyybSO0xl9y8lxuThh3+wypUkakPqEyNDiPGZOCyDXvYO3EoiiTx24QoZsZHniCzN04OKSmzsdsH4vWVExU5EaUdg24BKit/RtP8OCKObiVolyubXbsfw++vwWgMP6Jjemf8hYiIUWzadBNudwFWa/f9W5MalobkLeHHc5rnrfqlx0bWvOAk/bq+jBnScvHC0oIcdjycxd7aV7Hb9IDnQNNe/g/b8mygyaiqAQiw9s5rm/Yv3LKSz4paD3SCLQgUPSzdSFKfXqR49o8HSWnYBFnFLLAqBIwSnoQInkr+I6tCz+OhVQ81lQtT9HwLd/eKp9If4JPwMYS59z+jbGhcNMsnSVgqG4OTudezfchQ+hV6GJF4Dbvu+YEt9/3IeZv0Xh2frGfA9ZVk46ptnndDU1V2njaBQHk5SX//+3FpC6HjZWTchc3Wk9LSr4+ofIzJQJU/gEfViDXpr5sKn79pvwhWup+IiFHExkxtd7ACUF2TidEYdRQLauqysp/B6VxCWtrNJCTMOKJj9LE2es/AsU6lPh4CAXc7li2QkKRWUu83vo/yC0oocpa12O+q0deMM5pqyTEM4bS+tzbbv6dIwWqp59SB9Zw+tJyrJzeftSk1hgFqKz0swfYeFj0s3YhsUng4+0a+Cl+BtG0DQ/ZEEHLa7Sw21LPK+BZ3cicAK82jWR4wcVllCUMccfSw2qAezo+283NVPW8wgwmV6wjZvYns5Z+zuZf+rHqwx4NzaCoWbSpus0ZErzAW56fhqfbRY3I8geJ6hhW40YBhmhGPUabvgs9ZlrWGae/ufwzlLytDa2ggZMIEjElJXdFUwlEyKHaKiheSnnEXZlN0m+VqajaSFqGPdfm1pp5Kn/74J0QRM8JOVvV1O7CH9j+qDzlV9VJe/gOpqTeQ3uu2dh3rb1wbKS/vNXr1+hOSFByvwbr6Xfz66yWEhvRm1KiPD1tea/qf5kJD9J7yks8NvPPdD/z5qebBXG7BSqAPDSaVq0/7GOWAWZnfZ23H3eAgI6WUty+/qsW5T3vzSqq1bSCDoZVcWsEm+GsoNDP8rxdxx7S5nJaVgKTog1kt/hAu1PR1NSJLirn1Pw9z/tcf8Jv1ewHoExoBwIaqEt4e3JMxFf/jrrBczl55Ob8faKJB0l8GkhKCYndhTByB88oLscy4kBoVPBqElvuJqQ+gAJKmcXp0GPddMxyAlA3FFM67h7qffkLTNLTGb9lR11zdeQ0jdIi+fecDkJ/3eqv79+XE2JP1OMNtXobbbdy2PZ80q/6NvM7f/pklwokhoLpRWunlqK/PoqJi5SGPdbmy8furiIqa2O7rWiz6l6Kc3H9RWPhRu48/HlTVz+bNfyQQqKO6Zv0RLjDayiwhoE9qTyzn5FMenY3J23IA+/aKMDRUJk1c0CxYAdhbXQXAVWP6tnrFKnU7EXI/pif+iTPTj2ywfVcSAUs3Ixll5JgYtgy8HrUyp2n7SsNY/vnRX5n61RcAxFSXokoyQxd/wfYqfTl5b8CNLMs8O2lms3O6JIm4Cg3vDwq29TvR1EJyF71Pwfq8pjLbN5Vjq9K7Ev0SXDMqmYChFACjX6N64ULyr76GPVN/g/O5ZwHQ/H6E7mXfGIDcvJdbpG4vL19Bfv5bxESfBYCmunlpYCp5bi+rquq4PS2OWLOYEXayMhkj8bgLm20LBNysX/871mdeRV1d29OPPR59dqPV0v4eWUfEWDIy7sZiSaKqak27jz8e6uq2Ul+/k4EDnwagpnbjERwltZoLIDt/F09XPcEu26ZWx5n8smsTdaYqouxtp4/oEdlGQkhJZVTcKTxy1hyM3aB3VDwS6oZycvVnjZpv/xo/WQXTGfLzvRT10YOKqogIAErkJF7PXwb2eOIaP0xSI3vywm8WcPP/LgWgut7Ic/8OAGbYXYX1nD9RUjiC7VXxQCrxoUaK63xUezT+b0IIPfwyan0DQ7ftaVE326hRVH+mZ02U7a1nqBSCV1W1ngww0jGeg/967t7zd+rqtmM0RmK1pmIwhJFqMPNUvxSyXB7uSDuymR3CiSkqaiLFJZ+xZevtSMgYjOGUlX2Lx6uPu3A6lxIa2vo3/X0fxEfzOEeWDaT2uA63u4CKih+P/gY6UE3NJiTJ0BTc+7xHsp5a6z0s7sa13M5lElUBCyueXoemgqpqGE0yvcMzkMpa73vYXlJGa/0SmUU5fLd7DUh+5IPCgDW717B8y3J61PZg84bNvJj1ItlV2US5j226ekcQPSzdUJ9T9Eh66RnPsrW3g8+q9G/CkUkSk7bmMDqrkJ/6rKRHQy1mnx80fdDXrtqqpnOcHtePc5KvByCtVH+TuKP17kab18tZiVchGdIINUrE/lZP6+y0SMz4pppPzh5E1n8Wcv23LesWcup4+mWup+fnn2EdNux43L5wHO0bgDdgwOPI8kHfZzSN5OSrOH3CGsaPW9o0yHFWQhT3pCcG3QA9oXPFxZ1Pj5Rrqa/fTW3tFvLz3yTMPoQRI97Daulx6IRyjbNRjiUXSJh9KC5XNj5f1VGfo6M0uPOxWBLZF/TL8pEMYpYOufZhZIINsyKxe1c1WVnVZO2pZsPWSqLqYzFqrefM+WazPrkiOaz58im3fjuft7L+iiSpJNubf9FYsHABrvUuRjtHY9tpo3htMSF7QhheNPwI7uH4Ej0s3ZAkSYw6N41fF+WQ3C+SjBFx+Opd9CiaRs59b/PaVA8+o4xJAllTiKx2sTfUyxelpVyXsf88aQl9IQ9+7qu/qSzOBmSDihYRTl1DHCWN4xEyX91KjcNEyBnx8GkBAVWjYeEnbO/dn+G79My7WlQUUnk5DWvXEj5tGpY+fTq9XYRjt+8bbmtZTjU0AgEXPl8VRmNEJ9dMCHaSJNG797ym31XV25R8TlbMqAF3m8e63YVIkgGTse2B3ocTHq5/oFZXryc6etJhSh9fXk8pJlNM0wwh+QiS4OmzhFpu3Te1OPaUMKZeM6Zpe8FPRXz25ja8uSGYGyOdl19fSFmpm598Ruoj6imvthIVWUZGdPPHRX7NSxiD+XjG8yQcFMyggZKicNdVd2E0GJEkiZUrV7JixYojb4DjRAQs3dTo83qSMTKWqCT9W25lvZf7Cs/lm7vfB2BQtsrYJW9x9i8/sjUtnS9OU/jf+POp9NThMIfy722FvJ8XQW3k73A43246b4WjL4vLbwUaZ33UF5FY+CN1iSpley9lbdJ3ZH7wBY7Bxbwz/WEGZ5Xx9FMPIZWXY0hIwDFrVmc3hdCB9gUsGzb+noSEGfRIuaZpnyJbKCr6mKKiTxg75ltCQnp1VTWFbuDATLmSpKDR9oBsV0MOFktyy169drBaUzGb46msXN3lAYurIYcQWzpNXSZHkpRNotVHQgfuP1B0fwdpcVbqal1EBBpTU/wSQbUhwKZQL3bNQ2hoHVMGtjZ+RUORjC2DlX2XkiVMxvZnOj7eRMDSTcmy1BSsAGTmV/Hx2gIGh45jaM0IEmrSOTXzPpYMlbAHsrhy/DZWaeOQGmcEPZZfgls2El63A78CWfGQViKzbuCtTeeMM0isi9vNmDXLYS+sjFrLmuEeInzRVI1yEVV4G7vjb+er8RM5d9Vy0r/8AjkkpJNbQuhIYWFDSE66Emf5cpzOJc0ClkGDnqO8YgU7dtyH31/dhbUUuhtNCyDR9viUBlcOtrYW6DtCkiQRGXka5RUr6M28wx9wHMmyBZ+/GoMhDFm24vGUHNFxGvB29loe3lPclIJfVVU8cfO5cbeKunY1vj012L16YPPUxUMo+24rA6tM/P32jwglGiXBC7Xw0e+m0b9X64NtNbQ21/qSNCnoEsbtI8awnCB+3O0ktbaYq9ZnkFDbh3VJS7n3Sh//PlfhifP1PxT/F76VCJM+p19FI7a0lrRNVpAk5l8WgickAQC3pYQLIoyMDTVwU0gvJKv+os/tP4C0yBn87+w3mq5765YvubiqlIQHHxDBygnAYLDTt++DhIcPb5Gq22pNJiJ8ZONvYryKcOQkSUHV2p41GFDdKIrtmK8T6RhPff0ufL6uDahlyUhd3Q4kScJoCMMfqD+Co/QxLN+VFlItx5Jo9JJs9NLD6KN3rY+RWGmo81HtDzAhLow8NcCOnEoiw/S/zyHJEt5+xaSmx7Z6dlVVWZ23k6V7NqBB0xpCrVUjWN/eooflBDHrlBQ2LpawKHokvzFxOW5j84yGkXWLUNVbkWUZTYMQg4y9Mob6rD8S5Qll1ahYtoZXcbekTy3UvHuRSMPcbzqvR37DR9e/idyYXOiv5ku43/MxaTNn03Pe+Z17s8JxJzUuda9pgWYzN/YNiiwt+x+q6sbhOLo07MLJxWJJxuVqOatwn0DA1ZRP5VhYG3tpGtz5R5zev6O5XLlUVP5IQoI+C1OSje3Idqu/92TNx/IzLmyx7zdv/8Ieq5v7f38K7z74DR9lFvLPkb0gz8W1s8/DGmll4eIsoLRF0HHKGzPwGPbsuwhGfxvLGARn5wogelhOGBmxdt66dgwxlmVE9fwfbuP+EflWTX/lxqvZTFv0DqO/zsSngNVXR7/63STUJ3NudSzrTAEWSWY+i9PLZ48aREDTWNY3jv+e4uSmr/6JqqoszVvK/R49c6PD0sb8fqFbk2QTVdVrWLa8P+XlPzRtN5miMRojyct7jS1b2peRVDh5RUVOoKrqFzxeZ6v7A4F6DMqx99BaLfpCr+6Gvcd8Lk0LkJX1dLPX/5EoLf0KWbbSt8/9gP6e8XpKD3uchB4rHGqynaRpIIHZYuCc8BAyfV7W5ZUDEHCr+yqulz3gPJqm4THsQQlEYfENAiAtZHCb1wnWlZtFwHJC0TAqdcSM/oR+ZpUkzUq/+nTGaVFoHomagJ3JymfUBQJEeDRG+yQcvipmVjpRJFhq82GXVH7/f+PJDJfptbESRZK46A8zSTf9hpUV/2H4mxN5dt2zxNpimTNoDmMSxhy+WkK306vnHxnQ/x9oWgC3Z38yMLMpmtMnrCG9158O2cUvCAeKizsPSTKSl/tyq/tV1YckH3vSQaMxEkky4PEePkA4nJqaDWTnPEfmhqvJyfnXER1TVfUr2TnPERd3XtMjLoslEbf78AGU1PTfQz+P0RojkT/P1BdCfKVQf38GvG2/Hz0BvYfnvJRrWHPd+2yavYmPL3usWZmlG5dy99N3Y/QEb/JHEbCcSFSVmgv1kfg3xLqZ4e3JwOIh9Cjth2TWMHniGW7OZMEgle3TRnLRgMEYQ86jzpjAIqv++MgeZsNoUJhw00hqJY1toTKOaBv/nfU440LuQlUq2VO9h9/1/x1/GvknjB3wR0YIPhZLIgkJFx+mVHB+CxOCj9EYQc+0/yMv/40W6fM1LYDfX3OEuUoOTZKkFo8xj5bLlQtAUtLv2JP1T8rLfzjkox2/v54tW+/Abh9E3z4PNG23hw6gumYDfv9hxrE0pmHZVu9DlVr/u7ptqxN/tf63OtSij+jYgRG/9Cuqt3EWltbsPwDU+/Rrm+T906vlg9YOytyRiaHKQMARYGj/lqtCBwMRsJxA/OXlWH/W/0n9fiNlZT0x1FSgbatEaoD4KoUKdzRrtz4HQHiUFcXUhw2WAHuMeneiyaAfHx5uoff8U5lw+ylN55/RbzK+6uEYJAOnJp3ayXcndJVy5zLKK34kJ+df7Mn6J1lZz7An68l2PZcXhB49riMh/iK2bb+bgoJ3m2aiOJ3L8PkqiImefMzX0M+pHbaXAsDrraC8/AcCgYZm2xsa8lnz68Xs3PUQZnM8fXrfR1jYUDI3XM36zGtaDEbfJzfvZbxeJwP6P4Gi7F/zJy5uOqrawMpVp1Kw9702Z+BIgEeFnEAP5FI/yxof9RzIYNj/kR2baOeP6fpKzQ7T42g1ec3KHpjI0dAYAAUO0ysaUAI89sfHuGDsBYcs11VEwHIC8TudGAv0F+mmzCn4vGbMZYXIvhpUE5jcISjWi0g1/sj2/E30TY8gbUYam0x+okJMWAxyU8ACYDApWKz7I31JknAXXsZ/z19MH4dIDHcyMJmiKXN+R2bmbPZkPUFOzgvsLXwfo9FBbMzUrq6e0I3IsoH+/f9OYuJv2bHzfjIzZ5Ob9yobN/2eMPsQwsKOffE9SZKQJCO79zyBu3F9otaoqpe16y4jc8PV/LjyVMqcS5r2bd5yCzU1mVitKYwY/g6ybGDY0NexWnpQVfUze/e+f8B5/OTkvEht7RbKy5cTG3M2Nltqs2tZrUlEOk5F0zR27LivzeUDqlQrAcWBkl+PKbOCq//1E76DFhM99ZQkkCGg6kFP/+T9M6t8rmKcdR5uW7q9sS32H1fdoGdDNx3lNJtgyWItZgmdQCIuuYTwDz+k+qkyQsJNaKZ6nJEZhMfnICmQeMocUr+9AiWg8T/TQvqlDGbAiDhcS7eRaDNS4/ZhNrQdw8qSPt8txNhyRVbhxDR+3HL8/hpU1Y+m+bFakzuku104OUmSRP9+jxATPYUdO+dTsfsxjMYo+vV7pMOu0af3fezY+QDr11/JmFO+apbAbp/Kql9wubIZ0P9xiooXsnXrHfTtMx+HYww1NRsYMOBJEuIvbCpvNIYxfvwyNm68gaLihSQnXwHAzl0PsXfvO+zJehKA1NQbWq3T8OFvoWkaq3+aTFb2M0RGntqUE2uf3EA0GXIFcrUeXEga/FRYzYQe+5O7DUyw870Km0prGBYffsBjHw13/m5K4kY2bclzFfKP/75EQNMYGatvz4hufcpzdyEClhOIJMv0ePpp9tz7Iap1BDYgMQA7x3wLrGVvfBJD6vQuwdLCVQz767dUufQ3x8zRKTy6aDuh5rZfEvtibDVIkwoJHU9RrM26twWhI0RHTyIy8jQ8nlIslo5dhyo5+QpU1c2u3Y8SCNS3GrCUly/HbI4nPv4ioqPPZNv2eWzZ+icAjEYHUZETWj13ZNTp7Nz5IH5/HW73XvbufYfUHr+nsGgB8XHTiYs9p816SZJEao+5bN9xD253EVZr82ncvW1mJBcoTje9+keRta2cdzftbRawjE92sAqFH1/KpCQulJrIxgy32JFKNhJpuRJNgujB0Vy//WtM3p2YG9awtuY9AHpFHmLqeHB0ohySCFhOMKaUFELOvwAW52McYIOtLs53nA7VCyjc/CT7Ol1HW7bxrLeaFEcU907rT27BXq5XviCq0MuPL7yJyV2G1VcFipmAYsYnmagYeHNX3pogCCcQWTa2+NDuKFarnmPE56vGaGyZeqG8fDlRUWfoid2MEQwZ/CK5uS+zt/ADBg9+EZOp9ZWJHRFj0bQAlZWrmgbRpqXdTHr67RzJCIuICH1MoNud3+LeTRJ4GwJofo2Hz+rLVQVrWLm1FKbtLzMyMoTnCQE3kOtiYY0RCFCnJGPzFhCQJbRQI3sTzKCehs/fmyFaPDvql5BgGsbI+H6Hb7wgJgKWE1B5gZ7l0bfVBcCojKFsWAvpBd80lZE0mDHAwyOXn0lFaSGxn/wfw41bKdKiCJSbqTNE4jI60PxeDN5KRvsy2ba9LyAShQmCENwiIyegKDZKSr+iZ1rzL1oeTykuVza9et3ebHtq6lxSU+ce8rw2W0/C7EPYW/gBoaH9MZvjMRiOPH+M1ZqELFupqvq1RdLFnNxqEk0q/ftHMz7RwYRhCSz7IY/Fe8qYkh6jH282cscwC8vjjPz+10wCNVVMNEpIqKiN+ba0EP1jPd1QQRZxbI4+FTl6PIVoDFv2JbKkoQCyBEZJ497UVH5d9gVqnoohyEOCYxp0+7e//Q1Jkrj11lsByMnJaRz01PJnwYIFbZ6nrq6OP/zhDyQnJ2O1WhkwYAAvvfTSsVTtpObMr232+78XreWT3Lv4uehGfhh9Lvlz1jJr7dMk2tMB2PnDAoZrW1nW5x4S5meRfP82+s1byYg/f8nIu79l6D3fE9Ck/d224omQIAhBTFGsREdPprTkqxb76ut3A2APbX9vgyRJxMdfQHn59+TmvoTdPqhdx8uymejoSTjLl7bYp/kCoEm8cqHeD/70Wf2RQ438YcEG8mv2z2T6PlafCLEmxopBqSJNqcSID1UzIMmghhrAHeDWtCT6GIqIVnyEK35CZBWzrCEDASQ8qkSWlsYrW35BzVMJEMDn8LW7TTrTUYdTa9as4d///jdDhuwf2Z2SkkJRUVGzci+//DKPP/4455zT9rO92267jaVLl/LOO++QlpbGt99+y0033URiYiLTp08/2iqedHy+KnJyX8Jdf0qz7f+KTuLuT0KpJoOU6b/DrYThDZgoqnZT8cltjN30GsXEMOnyO9s8t56FsRs85BQEQQDiYs9lY8kXuFzZ2Gw9m7brSdyko14KID5+BuUVKygvX0FM9FntPj46aiJbt92F212ExZLQtL1vrB1Pg0xKuD5mLNxkYP6MQdz3bianPbYUQ5iJVf93OpOj7CyuqMVs3Z+3RpEC+CXDvl+QVI1LU4dwaeqhZ17FL8skSzUxFLj2xmtJi0tr9/10pqPqYamrq+OKK67glVdeweHY/3xQURTi4+Ob/Xz66adcdtllhIa2PbNk1apVzJ49m4kTJ5KWlsbcuXMZOnQov/zyy9FU76TldC4hL++Vpt/fPNfHK9PhzLJ8YsIqAKh0+vn96z8AEl/sLMe4SZ+iVzCq7WAFQJa0ph4W0cEiCEKwczj0XFHV1esAPUFdYeHHFBV9gtkc1+pg3CNhNIYxbOjrTJq4lcTES9p9fEzM2ciykdKy/7VZRlVVfH4/V/SL562bxhGVbCdQ7eXjHcWEe1wYtlfhatATyA22lWFAQTKYKPT6CKTZMcpH+OVS06Axr4ysBH+Wk6PqYbn55puZNm0aU6ZM4eGHH26z3Nq1a8nMzOSFF1445PnGjx/P559/zpw5c0hMTGT58uXs3LmTp556qs1jPB4PHs/+xFU1NTXtv5ETTENDPgC9z30Iv+phpG8il4Z+SI07ll6D/krZKti5Opesev2NWu218ndlJn81vMnIc689/AWCZC6+IAjC4RgMIVgsyWRlP4PZnEB19Vqysp8GYED/fxzz+Y824DEY7ISHjaCs7FsSEy5j2/a/UFOzkWilgOxAD/rduRCvZEQ9YNqzQfWBbOQfH29G0vQP7kE2/dFWfv5ZfOC7GDnlF+Zn54Ek4bUo7Kx30yfE0kYt9CR7T/IH4u3FuEaFoUhzjup+OlO7A5YPPviAdevWsWbNmsOWfe211+jfvz/jx48/ZLnnnnuOuXPnkpycjMFgQJZlXnnlFU4//fQ2j3nssceYP39+e6t/Qts3Gl4JzQNXOJeGfQhAWFopkUoFrIrBmaVAhF6+Z3gOZbURyJJGXbWTUEfcIc+/L3ukmNUsCEJ3EBd7Lrl5L7M+80oAoqLOoFfPWzskSd2xSEmZzcZNN7J7z98oLV1EePhI3O4CeobncVGqhN0qYzEqaBqU1TTwQYGJP40JZ4cpgq9/zEXTICTgxdwQh8FnB+An21ime1WyrBY2qz4K3J5DBiweVSMePbmezVZDmMnWZlmgzQy9naldfUD5+fnccsstvPvuu1gsbTcEQENDA++99x7XXnv4b+7PPfccP/30E59//jlr167lySef5Oabb2bx4sVtHnP33XdTXV3d9JOfn9+eWzkhJSX9lqT4P+J3h/KJZVqzfXv37u+t6tO4EJbDXIUPPQlYdV3z9NQH0tTGVNSig0UQhG4kI+MuRo1a2PR7j5RruzxYAYiOnqLPNtr7HjZbT0aO+LBp32M3X8S8OdO47crfcPtVv+GqqXrSt5RQAy9OG8Q1w7diIEBEeAnp/Zc1fZFU8RCjVXBF+pElh3MF9Cy6LkVftVmWgz8hZLt6WNauXUtpaSkjRoxo2hYIBFixYgXPP/88Ho8HRdFv+uOPP8blcnHVVVcd8pwNDQ3MmzePTz/9lGnT9A/ZIUOGkJmZyRNPPMGUKVNaPc5sNmM2H/tiWScSv1dh6fOD0dSnMCcZ4dT3mvbVx5dhidqDuzydwZ5Qdtoasyk2jkjxBlpfHwP0yFpqLA3Bu/S4IAjCwcLDhjJ69Gfs3PlQUAQrAJIkM3ToaxQWfojDMQ5JkjCX/4Xtq5fCmc3LKor+d3djdimWFZl8v8OCQfbRt99KzOZ6Ar43yM4aTVZCBvV+A5W7sgETyzK3UKz5G8epgIwTa0wNcogN0HAFAkRzwCrR0gk2hmXy5Mls2rSp2bZrrrmGfv36cddddzUFK6A/Dpo+fToxMTGHPKfP58Pn87VYOVJRFFS17Q9RoSVXtXff+CksXo21tttwKOX0qv0PAW8s1qgs3OXpDMXEhLEyz2wNx9M4d99dsgvSerV63qbwRIxhEQShGwqzD2LUyA8PX7ATmUyRpKXdCIDHVc/un9ZjNrXsHYmwhyJpKm9mKbyZtRfoRZi/BoPkxuvtQUj8TryF6bhMBlaFNia80zRekZs/4vmT9i9GVa6BSv13G6AiYZQjIdBy9eZg1K6AxW63M2hQ83nnISEhREVFNdu+e/duVqxYwaJFi1o9T79+/Xjssce46KKLCAsL44wzzuDPf/4zVquV1NRUvv/+e9566y3++c9/HsUtnby2r94/pdwRauLOsTezt3Yv29f8B/rMI76qgsqdICsS504Zyau7MilAn9pX78xr67RNj4T2ReD7Ft4SBEEQjt1njz9MeUEelz/8ZIt9cTEOlv5hNBVVtaCp5O9YztZPvqFvr+fZsuc5LNa9AMz65CUmjBzPwFm/Q5UkFIMCkoQkyyBJZH65B1mOZ9DFi/THSJKEIilsWv8Kdb7vT7weliP1+uuvk5yczNlnn93q/h07dlBdXd30+wcffMDdd9/NFVdcQUVFBampqTzyyCPccEPrC0kJrUvIiAByAXD5XTzztx/wp5cw1CHRUPYJtuJQIAXN76HulyJMipc0s/5iT6xaB2teA08t+BqorfyV6rIfCTElI/n9RADr86sA2J31KkkjbhaL4AmCIHQAxaTPOIrrldHq/p4p8fRMiQcgIcTDno+/oK6iAFt9Dmk1NZjdSykyaqSMH09YQnzr10BDViXCzOEH7dG/gNbVlQCxmM3Bu7jtMQcsy5cvb7Ht0Ucf5dFHH23zmINHG8fHx/PGG28ca1VOepGJIbhtkOMw0i/fB/gw5ERSOaUvvWqWElnch51AmLSNusUBIpKq2OPpC2ZI3PUe7P4AzHYwhqD4iwmXJSRTOaqisN7aD58jjImGX/BUvo/HexkWc+tvDEEQBOHIjZ3xW3Iy1/L5Px/l29RBLIzpyZjKQn1qswQWcxGzPF8ilVkpXDsHc/hc9hY9T7KvgoQiDz0tGyAN3Krz0BdqpXN83+dx5oaz8HqGcc45nwDg9/vYm51Nau8+HXy3Ry+4Fw4Q2sUeaWHXOR+xsnAlScqd2IqiUHwWlqhT+Yxzeccyj9/HzUTGT6V0D4/Fz6Kydyhblr5FvzvGoURGQ+NzzPqy79i46YamZdaHA8OBkpIv2bzlHQzKka+fIQiCILQtPr03GaPHUlNWxo5UPfV+uWxE1lT8skaWZThj1cUk1utfEiU5FF8gQHG8hfjhf2XvV6tJr1uA+u0TML717PCapCFpLcch1lTnozRGAgG1DAC3y8Xf/qHnqpk755qOvt2jJgKWE0xSaBIOXxju6npsRAOQXzeCtT1DubnfPbyw/RFQTFgDKwhE/5awaCvlRIIloilYAYiJOQtFCcXrKWl2fq/XiSybUJTg7TYUBEHoThSDgQvuuBcAubCc23fk8+OFetr/9VnvUpFzMx6LheztepqQ0KT1mCMKCK/2EVj1LnbAr5qoUcM4VDaV2qRCAh4XivnAUsMpLNxGZKTalM1848+rm/bu2rYVo/3gx0hdI/hH2QjtMm/MPP5Wdht2TwSKT5/2fXNaMgDOxsRyWuIIDGoBvpJ6tMbpzFIrqZwVxUpA9Tbb5vWWYzJG718IURAEQegQmqqhefX8KPWBAPX+AAaj/uXQqPqbyiWf+iKy4iem3EvAGEHAGEGOexR73OPaPLdV03tnPNXN1/s7++wr+d0Vi5AlBU3TQ4Jff/lZ3xnwk7VrZ4fd37ESPSwnGEVWSK6OxhX6E5qkYjJYqI8zQymE+xtXcU6fjDHvUVzrijHE2sAgI1lbvhQMhnBqazc32xZQ3cjKoZMGCoIgCO23996V1MUrMNhK+go9hcgEaxg3ALLip+8lc1ED+5cEMExeTELPQVTv3svCJ3bQx5rbtK/gllup/eYbACJmXkbUGVOoYDvrFs/gtMs3NJXL3/k9m9bPR4kowt2gzxotbVynKESTyHVWkvvNdyhBkFhO9LCcYNQGPzIycZKVuvCdhPSr5ML+emSd5CkFQFr+CCgKKAo1/8tBCTO12mMSHjYEp3Mxbvf+iNxsjsPjKe6cmxEEQTiJRExPZ1KJnwc3NfDAJj37+K56mVfKTOR4ZCRZw1LnpvaLc3Cu/C2JaQMBKN9ZCEDK8P0rUHuzspoe8xdUfMAungfAE13X7Jr52QsxReVSWZJIYU4GjzxwPwAhqo9InxlLcTmRgd7Ya7p+8K0IWE4wstVA/J2jufDGmYwbN47JkydjlCU2nTqQaZPnwhR9/SXJ0ZOQkfraQbKp9ZfBvrWJfL6qpm1mcxyBgAv/vt4aQRAEoUOEjImnRq3kvEI/5xf6MdX6KG1oYIvbgPM7O5HPGYj4l5Fh8oWMqp3aNMNn67e7AIgb3GP/ySRJz3KrKPhj9Uf/0cXDGGC/76Cryqh+mdKCiZTVxOOTZMIkjdsffAgjErYGN6dNOJVQretnhYpHQicgQ6SFWCxMTZzatC3GZCQmqRck3Qo9xkJYEuZcM/W/FKP5Ws8onJJyNXn5r1FXvwO7vT8AFnMCAG5PMaEG+3G/F0EQhJOFJEmUjnTRc91mXjMG+N0GiS1xDrLMMGG5G7chg8jekzEYzRiAvUvzqdq9grUyaCH57KwsgdVb8Pu9FCt7iQvViKoNYP1JxnWqSnzvy4gbPRPQE4L+uPBZXFouUhjMmHk5H7//Ln379eWcS2Y2q5emaUExblEELCejHmMBMAX0LkfbiNZXabZYEgkN7U9lxUoS4i8EDuh18VaAmNksCILQoU71fEeE6WMa+BOmAAwtcpKVBr+OugNFTuOCCGNT2dKtu3ggsIjcofpYw08OXAP4QsgoVHj0PwFkl77JuePLpoDFVVeFO+x5DAYNv9tAcno6t957P3vW78Dn9WE0GdmXuEVTIRgS4YqA5SRmiLKS+MA4JFPbg6kkZGR5/yKTXq8+T99kij7u9RMEQTjZRJj0Hu8hbGMj/ZE1jQVbn+Wn8EIqvOV41DjMsoRb1djrdJObrgcrb/V+CNloQjEYMSom/r5iPkXWcvqu+4XKH76ijL9QnLiK3pUlmBxxGEwGZIOGVjmWQcN+D0DB9hz++7fbMZjjCHHEUl28CaMlCU1VkaSuX5IlCGImoSvJVgOS0npXXyDQQF39TiyWxKZt9a4sJMmA1dqj1WMEQRCEY3DhiwAMYCcmzU9Y5UCWSH6eNpgoithJiV+f9uz0a+SX6vlUFA2Gj7+QoaPPZdDws+g75AySJAeKpCDbbERNvZRefj0BnOrRu1v2rR3kiBpIUvrp+jnz9QkWfk8l1SU7ABgy5TyqVi/CUF/QSQ3QNtHDIrRJkoxIkoSsWJu2uer3YLX2QJaNhzhSEARBOBqqbEYG+pFFb8+ZrA4EWIgXNBtFahjeNS/hHj4GS+r3sOsW+peMZ1vcKtSAH1nZ/5GuoemLHDZSTDZQQT0gn8s+qzYv5s1fXqa+wEmvUAO3PfIfHPFRaJrG7s+/5tvyAZwR9hJweSe0QNtEwCK0SZYNhIT0pq5uO9u2z8NuH4TLlYXN1qurqyYIgnBCkhWZl0vewyS5mB/mQgvdH3TMXPElcWV5+L7diPnm0/hNxMu4lAK2ATl5K+jV88ymsi0e4MgKqEBAD1gOXNPvzXWvsVrZBqkQCNipLq3AER9FdVY2y/6n0dvyAwNDlhy/mz5C4pGQcEh2+2CKij6msPBDduy4j/KKFYTY0ru6WoIgCCess24cQ70aRWqg+fjCjJK8pv9vzTwFK5dz6qDB+oaDek48fh/+A8IWqTHxm3PTl83KZVfsZbW2GbvHhKPBgibBxiUr8Xt8/O+FNdgMNUw8P5QgmCQkAhbh0BITLmmxLTbu3C6oiSAIwskhbVAU42akc//I/b3Z/d17+Gbo8P2FNBVZqofcHwEoq9jV7BwFtZW4JAi43QBE9dXTXNRWN89enuncDcDU8NObpi5XlRSy+MZHqayL4DeXx2EKC461hMQjIeGQwsKGAWCz9WL0qP+iad6mqc2CIAhCx5NkiRFnpwIwoiiPdSVeBlZsIEANi4amc0bkdOzh/dlk93B70n3gfIjrtr5Ej/xFaKpKXXk59fEe7C4DhT98T8pZU7HF9EaulfURuoBGgKdKzOSa9Sy59136JEtfGcvWnrUkb8qil+ly+u54j+hxr8KarC5riwOJgEU4JEmSOH3Cr0iSAYMhBJF8RRAEofM8e8UoXnnlfSZOn0SWLxdTuYbPkkSOrPBUeASltmimO37DgLgoNIOZ2gonWzctBwzEVlrwZ/hwO3P5+fuzUR0qtcZ8Cgs/whE9lVyvQrRs48LwaciyzE19r+fh3GepDQknds+vJBb/eEBNuv6ZkAhYhMMSPSqCIAhdIznWwfx7bgJg0gHbs10e1v28jSF2K7eM/isDQ/XZnE/OPI/R6H+zlYBK0ukTqc/7Bb9DH+NSb8lj2/a7GTKsJwBzBp7LlSPup9RVymLvLwD0LFYZpazAI4PL5eTBDc+THx/J+510z20RAYsgCIIgdDM9bWaKJw1rsb1H7yF4C+qQNI2w8m3s2rqSYucCNLO+vFBCwiUUFX3M2vW/BWzU+RpYkruEB1Y/gEk28cKwh4l57C9oI9LwazDtg4k4jRJgbnGtziYCFkEQBEE4QUyZdB3rfljJrT3/oW/YdgcA10QpjAixMKD/30mIv4gvfv4dAC9u/wq2f8WZKWfy4PgHCSmrYw/ws2svAyWJXkY7TrWujat1LjFLSBAEQRBOEJa4MGqUegAuVs7iud7zAPBrYDRHAOBwjGXWWVuajnnktEd4etLTOCyOpkWDUuypSBrIcYMAGBI9pBPvonWih0UQBEEQThCm1DBifZEAxPfoRX6EPnbFKms4IsY2lTMqZlbNWoVZMWNSTE3bJUUPWAyKEVmFn4p+4rkzn2NiysTOu4k2iIBFEARBEE4Qit3EiGvPZvKPy3gh+9+QDdN7nc8Np87HeNCSKnaTveUJGhPMqT4vMnBK3GgmJE3ohJofnghYBEEQBOEEYk2N4OnUf1FcX4xP9ZFiTzniY/f1sDjW7qEyxsqzZz6HIiuHOapziDEsgiAIgnACig+Jb1ewAqBERWEdNRKAAbfdT4gpeHJviR4WQRAEQRAAPVlo6ptv4nc6McbHd3V1mhE9LIIgCIIgNJEMhqALVkAELIIgCIIgdAMiYBEEQRAEIeiJgEUQBEEQhKAnAhZBEARBEIKeCFgEQRAEQQh6ImARBEEQBCHoiYBFEARBEISgJwIWQRAEQRCCnghYBEEQBEEIeiJgEQRBEAQh6ImARRAEQRCEoCcCFkEQBEEQgp4IWARBEARBCHqGrq5AR9E0DYCampourokgCIIgCEdq3+f2vs/xtpwwAUttbS0AKSkpXVwTQRAEQRDaq7a2lvDw8Db3S9rhQppuQlVVCgsLsdvtSJLU1dXpVmpqakhJSSE/P5+wsLCurk63Itru6Im2Ozai/Y6eaLtj09Htp2katbW1JCYmIsttj1Q5YXpYZFkmOTm5q6vRrYWFhYk371ESbXf0RNsdG9F+R0+03bHpyPY7VM/KPmLQrSAIgiAIQU8ELIIgCIIgBD0RsAiYzWYeeOABzGZzV1el2xFtd/RE2x0b0X5HT7Tdsemq9jthBt0KgiAIgnDiEj0sgiAIgiAEPRGwCIIgCIIQ9ETAIgiCIAhC0BMBiyAIgiAIQU8ELCeRRx55hPHjx2Oz2YiIiGixf8OGDcyaNYuUlBSsViv9+/fnmWeeaVZm4cKFnHXWWcTExBAWFsa4ceP45ptvOukOuk5HtF1RURGXX345ffr0QZZlbr311s6pfBDoiPYDWL58OSNGjMBsNpORkcGbb755/CvfxQ7XdgB//OMfGTlyJGazmWHDhrVa5qOPPmLYsGHYbDZSU1N5/PHHj1+lg0hHtd8333zD2LFjsdvtxMTEcPHFF5OTk3Pc6h0MOqLtHnzwQSRJavETEhLS7vqIgOUk4vV6ufTSS7nxxhtb3b927VpiY2N555132LJlC/fccw933303zz//fFOZFStWcNZZZ7Fo0SLWrl3LpEmTOP/881m/fn1n3UaX6Ii283g8xMTEcO+99zJ06NDOqnpQ6Ij2y87OZtq0aUyaNInMzExuvfVWrrvuuhM+YD5c2+0zZ84cZs6c2eq+r7/+miuuuIIbbriBzZs38+KLL/LUU081a98TVUe0X3Z2NhdccAFnnnkmmZmZfPPNNzidTmbMmHE8qhw0OqLt7rjjDoqKipr9DBgwgEsvvbT9FdKEk84bb7yhhYeHH1HZm266SZs0adIhywwYMECbP39+B9Qs+HVU251xxhnaLbfc0nEV6yaOpf3uvPNObeDAgc3KzJw5U5s6dWpHVjFoHUnbPfDAA9rQoUNbbJ81a5Z2ySWXNNv27LPPasnJyZqqqh1Yy+B1LO23YMECzWAwaIFAoGnb559/rkmSpHm93g6uafA5lrY7WGZmpgZoK1asaHc9RA+LcEjV1dVERka2uV9VVWpraw9Z5mR1uLYTDu3g9lu9ejVTpkxpVmbq1KmsXr26s6vW7Xg8HiwWS7NtVquVgoICcnNzu6hW3cfIkSORZZk33niDQCBAdXU1b7/9NlOmTMFoNHZ19bqVV199lT59+jBhwoR2HysCFqFNq1at4sMPP2Tu3LltlnniiSeoq6vjsssu68SaBb8jaTuhba21X3FxMXFxcc3KxcXFUVNTQ0NDQ2dXsVuZOnUqCxcuZMmSJaiqys6dO3nyyScBfWyVcGg9e/bk22+/Zd68eZjNZiIiIigoKOCjjz7q6qp1K263m3fffZdrr732qI4XAUs395e//KXVAU0H/mzfvr3d5928eTMXXHABDzzwAGeffXarZd577z3mz5/PRx99RGxs7LHeSqfryrY7EYj2O3rHq+3acv311/OHP/yB8847D5PJxNixY/ntb38L6Cvddzed3X7FxcVcf/31zJ49mzVr1vD9999jMpm45JJL0LpZsvjObrsDffrpp9TW1jJ79uyjOt7QwfUROtntt9/O1VdffcgyvXr1atc5t27dyuTJk5k7dy733ntvq2U++OADrrvuOhYsWNCim7676Kq2O1F0dvvFx8dTUlLSbFtJSQlhYWFYrdZ2XaerHY+2OxRJkvj73//Oo48+SnFxMTExMSxZsqTDr9NZOrv9XnjhBcLDw/nHP/7RtO2dd94hJSWFn3/+mbFjx3bYtY63zm67A7366qucd955LXpKj5QIWLq5mJgYYmJiOux8W7Zs4cwzz2T27Nk88sgjrZZ5//33mTNnDh988AHTpk3rsGt3tq5ouxNJZ7ffuHHjWLRoUbNt3333HePGjeuwOnSWjm67I6UoCklJSYD+Ph43blyX1ONYdXb7uVyuFj1RiqIA+ji+7qSrXnvZ2dksW7aMzz///KjPIQKWk0heXh4VFRXk5eURCATIzMwEICMjg9DQUDZv3syZZ57J1KlTue222yguLgb0N+a+F/h7773H7NmzeeaZZxgzZkxTGavVSnh4eJfcV2foiLYDmo6rq6ujrKyMzMxMTCYTAwYM6Oxb6lQd0X433HADzz//PHfeeSdz5sxh6dKlfPTRR3z11VdddVud4nBtB7B7927q6uooLi6moaGhqcyAAQMwmUw4nU4+/vhjJk6ciNvt5o033mDBggV8//33XXRXnacj2m/atGk89dRT/PWvf2XWrFnU1tYyb948UlNTGT58eBfd2fHXEW23z+uvv05CQgLnnHPO0Veo3fOKhG5r9uzZGtDiZ9myZZqm6dPSWtufmpradI4zzjij1TKzZ8/uknvqLB3RdpqmHVGZE1FHtd+yZcu0YcOGaSaTSevVq5f2xhtvdPq9dLbDtZ2mtf2+zM7O1jRN08rKyrSxY8dqISEhms1m0yZPnqz99NNPXXNDnawj2k/TNO3999/Xhg8froWEhGgxMTHa9OnTtW3btnX+DXWijmq7QCCgJScna/PmzTum+kia1s1GDAmCIAiCcNLpfsPDBUEQBEE46YiARRAEQRCEoCcCFkEQBEEQgp4IWARBEARBCHoiYBEEQRAEIeiJgEUQBEEQhKAnAhZBEARBEIKeCFgEQRAEQQh6ImARBEEQBCHoiYBFEARBEISgJwIWQRAEQRCCnghYBEEQBEEIev8PkdACyw4zIiEAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "example HD 2734\n"
     ]
    },
    {
     "data": {
      "image/png": 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1GapWv9DjvOdvJ89lwqwG2La7hKEpIXSbfA0Ao09+mq2rU9hf+iN+yyr25i0jLeNBhgx8n4Tu4+uNU63QtBadIAhBIpF0VjrBBUYqNJI24bXXXqOwsBAI5hnIzMykW7fmF0ysUWiM5ik0zaGgOJfN6at5ZvkzZNuCuXFUQ+HRsY8SHRLboP/xdzxDzr3X4fKbGZRi5/gH36oxxaqqysDR1zNw9PXoAR/LZz9EpfVb8rPXNVBoEM0IxW4OrVgIViKRSGrp2CYaqdBI2oSzzz6b999/H4DFixezePFibrnllmZnf25rhWZ79mYu/O1SUMCiqTzb/xEmjzgHs2qumftA7HHJXP3B7OATyyGUB81kQTUFxygv3sfmJdPpOXgKjiq/HdGEZbTm0fGfoCQSSeekM1xdpEIjaROSk5P5+9//jtvtZt26dfz++++88cYbdAl1kBAfzzlXXlOv//IPPyInK7PBOLtM+RAPb899mhlz7ai6Fc0Zg8lqR1VUVFQ0RUNBqXmvoQb36QpaiAVN1Wr2qdU9FRUNjXX7loEF7oi7hktPupFQexMzVSpKkxzkuvc+mw0bfoaQL6j0fEH20ofR3ZEkxF6CbvfSuk88sjilRCJpI4LVedtbikMiFRpJm7J27VpmzZpVs72/vIL95Xs4W9R3YJ27bSuGomA9wFfGqyokOWIo9+ZRjkDYohGVpRgBMDAwEAgMdAwMJbhtYKALPbjHFWzXERhKVW8leKShCLDAcFcq5429sOnKTDNI7DGBxB4b8fmKyd+/ksxdcygScyn0vQE+2uSxR2lWZJREIpE0jY4ecCAVGkmbUh2lFOJ04nK7Ub2VGFY7rz5+JxcpPzHLO4E8owtem5XxkZFMOaCQ6YHsu+tLNIdO12cubZYcjUU9GYbB7t+XY5sboPjDbeSY1jZ+bNWr1+tnW8VW3IarQR/NZObsv95OXHKXRsewWCLpmjyFrslTEEKQvWcxa1fdhjXc3azzOBSiUxiFJRJJ56TjX1+kQiOph7fCX+OrGsxeW/W+zne5Xj3TevtFzXufYeAPMTFg9Bi8hsL8WTOx4aG3mkFIRA+cmWvoElLAVbbvWJI9jHxHDwIij6/uOQ/Tniyi8jyUTxhE1MixWCKiqCwrhoIikip6IOz1K2Y3hcaeLFRVpevogexaOhv0xn+sSp0FnAS1CzkiB5coq9fH0HVchVvZsXxDjUIjRPCzE1UfiBBUbQcb47qNx7l5IIZ5WfAzR8fQAwgRwNAD6EbwVRgBDCOAIyQSZ1j0oU+y+u/SsR+iJBJJJ6Qz1LGWCo2khi2Ls5n7v22tOuaGbmZmusq4yqpwlfINXc25UAKEBPf7/FEcl7gO3buebV92oSRcI6o0uOwU+/1a+D5oNXFUD3jiQxT6S2h+vFTj2KPCGPz38w7bzwgYZD+ymH4Tp3DmZan19rmKy3nr5stY/vVrLP/69SbPPeymYEK9RctSD9MTdG8oU05f18SRpUYjkUhaH7nkJOk07FqTR6VZ4bzrBlLu9rM6t4xNPi8ZeoAKIVAMQSgKN0RHkpIcUXPfrPmSK8EmgeCFb7di9QsGZ/qYHa/xnW8gqf3v5ordD7ArdiqRoy/HGtsDZ4+h8EQERTaV2B8/ZWDKcAC8lW40i5X8vVupqCghPCwOW2w8m5/7DVdc49FHbYkIVPn2aA39U0IiQxl7we2UFQTD1JWa/4IoilK/repz0rPSscRuJDzsJBTFBGgoioaqmlAVE4pqQlVN7M/6DcP6a1OkbOnpSSQSyaHpBJcXqdBIavhF9fLt+ZG8WpCFXwMjWkHTBdGVKk6hIFRYZ4cFlNN/ZxkvRsXQf0wXbE5zg7FeG3g8e/Jc/PzYCu6a0JsX5+xgXbdTGJvRlzwPpIw5FwiGY89z2JlUUcmS+XcSl7IAAKvdCUCX3oMByEjfzbpPZpLqS2SrKevofCB1qI4aVw7ibzvx4qltNndx4XZcxuGVuGqTsCLz0EgkklbGMIwOf22RCo2khpTTusO+XC4VdmLsFsZ0CWdsUgQ2U+3NNLvSx7Pr9vGl6mLujN0s/3o3/cYncPxFfTBZ6t90qw0S3UKsWCOtLNqex8W27kR7Mmr6bMxbywkVlRhA36n/bCCTJ6+cgpfWoQCpJJJtL8DZK6oNzv7QiAOiso7u3AGEaPqFRIZtSySS1kYI47D16dobqdBIavi+MJgl9/+mHtynI9Fu4cw+sXy50cWFj42hYFU+K3/cQ+bWIoZO6k631EjMVg3NpBKoDKb2F0B8lIP84krK7XH0dy3FU5oPQpBq685Wq40efi8BZyIFZQX15isqyMUBeFXY0a+AiRdPQ0GhwhMAdDRVULv2BYqovpkLTCZzq/0ADb3a+tEqwzULIZrqFSOLU0okkrZBGEb7XACbgVRoJDU01Yldq7JSWEPMjJiaTM+hMSybsZtFX+5EGA0HUTQFNKgs8lBm3kuI5oZ/pdTsHwLsMZs4+7upDRI3OXU7T4f+i6vGOxBKKCzbUm//c+sqmZzbeE2kXVHZnHRfw6rcLcHwV4V+tfITSpHLS6TT0qjlx68bzN9egEkXzSu6LRUaiUTSygghpIVG0nm4KCGS/+zLO2w/U9X9MlClAUUmODn95sF4K/wUZLjQAwa6Lijx+rlj2z4Kl+2iYn8FAC/4L6H3iFMJt9d+9Ur9pWy0O7jTGt7ofI+ElyEUJ09aQwkzaQjAq+s84CnnsUEKfVKDY4s6YcuhSwOkFCWyY9tmquOn64YdduveA2dIaJM/G6EHFRpFO3JlIRDQeXLeLn5zu9kbphJZaRDlA1VVCCjgR+DSoMyqYKgKFxdEc1bc4cetXmoStFGNKIlE8odFGIaMcpJ0HkyKUqOkHK4f0KCv1WGma7/Imu18n589W3dhqlJmALKIZfB51zYYc/AB24ZhkFdSzsaSUrK8eXRzl3LjycPq9Xlg7jp8JhsTTh3XYLzZpd8QvQ4cHxQ1eg7Lu/zEKXc2PTmf3xP0CvZWHHmF7NtmbmOGw88IVeN4w0aRGqDUYmDoBmYULIpCuKYRpZqZXlnOF91Gsc34G6ceZlxRY8Zpu0KeEonkj4mQTsGSzoRZbZpCo1ZZAg6Si66GcJPGqIhc1mHHpPqJsJQxKnQfc1f3wmE10T0hmi4x9R18C0rdbNizn59//oq13fuyObEnCX4P/x6S0nACEQAUyv0eQs22eruOP28auwduq8meW/1kIRTwfpWBydu8H6bX5QegvMjTrOMO5PN1Wcxw+LnBcPD0WX0P2/9hv86VSxewSAxBNwJo6sF/sgpBp2whjlzpkkgkkrpIhUbSqTApCv4mWWiCr4dTfiyqyr+HFrIr5HmKPLFsXH86arlg/g/Ta/q4LFGERMYSMEAvycbqL6fQGcaPI0/CUFSuNvl56oRxWE31v6qGCDoDj7fsJdQ8suHcViupg4c2KtesWZuxeRqGmh8KR7iFUiA2+cjqPf0vo4DuhsETZzaioDWC1awxLUGwMEul3Ocmwtb4slyQ4MVGLjlJJJLWRgghFRpJ58GqKgQEpC7ceMh+1YrM4VQfIQS70p4HwCciePCeB1m/Ix1dKLh9ARat3YrIy6AyLx1NEVSYw1naczA7EqOx+QVzJwygV7jj4BMoGhrNt0aEVThJLI0i86FFdcaikfdKbbLAKmdnpcLf7PkAPAGdLdnlrHUYTHSb0BpJ0Hcwws0WAI5buhb1EMqKEIMJ5QV+1PXqRMwSiUTSKhjSh0bSmTgtJpyyFJ1AE6KdQjWVPo6D11T6+dUXKSj9mq7HBbcj1YfYsSYPO3YUFUKBC4eMQTONJXVoAu9v28/T6Tl47Cp9PApfnTyAMHPVMpEQZFS62V2eQ9+QKJwWJzvLcgFY5O/HjMxNnNttUJPPs8Lqwav5Ce0aVd9ZWBAM9apuq/4chMDwGxjFXmiGU3DAECzdV8w/NmWwyWYQ0BRQFczNdCye3HUYt5TOxttIBFld0koN5tMLF+HENGsGiUQiOTQyD42kUxFpNnFTUhPCaZrAtiVzGfrnYMRUrwUvYvYowJ4G/f6TYuG9sqrIKkfQB2SftYThS9ZgKBZU4QFUDLXaR6ZhpevHd2Y0S6GptPoodJTS+y+nNPkY1343Jf9eg6iTPNCvG+wtqmB7bjk7CivYW+EhK6CTo+jkm4JRSgCaXXC118aYxDCSHDaG9Ixo8rwAoZYQHh92zmH7fbhwMfMDoHTwXBESiaTzIfPQSP6QGIbO0IsCZK+IITw0DOPS4/HWqcZdWVAKv+8mwmfng56WmuPi9TSSLDrCpBBuNhNmclAa8OHVPfRz2ugVmsB+TyWVgUoizTYMTHySW8Y1XZrn16IKFV1pmZ/JV+n5zPiljDzVoNwMoo4JNlQxiBMK8YbKCDS6qGZiQ61M6x9PYoS9RfO1hE5QckUikXQyhCEtNJI/ALpeSWnZOizmaIpc6bz35kJgPIO1cIZnjCDt1U8JjUnGJDRKQtzElYbj1jws6+fjnYRQpqQOwqSZgGHNnvuBAc2X16Kb8KnN873xqkE1YXW4QliFzhDNTDfVSvcIO/1iQ+ifEEqIrYP8nDr2MrdEIumECEOgqB374tJBrsCSzkpO7g9s2/YQul7Bbo9KwZqLsLt7UOnMhn7fsyPmNSJ/uIWSZB8GAq1IkNmjlAFnj2dUfPd2kbnP/sRmH5MldKKAU2PCuH5Kv9YXqhWojlCzdHDHPYlE0rkQQiCEDNuWHGOUlq4hJ/d7DMNHZeU+iouXEhd7Om+vLabfkj9RvfgTbTITEbMPU5aCbeY7OBebqYgPRx3Ql8QxZxMX06XeuFt3bcUVcGGz1+aTEQcsnhy4XZfqLLkHFmas8cpXavdVBz4X7gk6FltD7YTEHHrZqlpJiLY1L9z7aBKoOj9LB3+KkkgknYzq4rxSoZEcS6Tve5v8/N8IDR2MxRJN/9T/Y172VvotOb+mz+iVzxDqzoJva/1jwsoChJUVws6l8N1S1lsfpDgxBMYMI+7Mc/n2p5VH7RxOVgfS20ig8q0dALgwUO4fgTPy4KUQws0mdCDB0nEVmuqAcksHv+hIJJLOhWFUlX6RTsGSY4n8/N8A6J50PS73DuZteoxn92vEDVrO7f4rGRYfStgJf8KoqICAP1gDSdcRVf/8FeUU6y5KTG48W7bQ9dtFWKYvIvS0xzH7Q1FjXPSYEorZXp31tn6m34MhdCjOcFG6O4C/3MDwK2CooAhUu0FYspmYVAeqpuD1QqnPgcPkoDytgKhtKj6X55AKTfXsRgd2ua0pZSUNNBKJpBWpvg5Lp2DJMcnmLXcDMKM4mIumu+Li3LuDtZGEEIdUQLpRW7vJ6y4nbc4MbD8Fw8VFnoU9n+pEdFfp2jeSxB4xdO0ZR0i4vd6YuVmF7N26n/TteRTurUQvt6IQicBAMQUwaQaoAoSCKDXhyjZRvsJPl8E2Trt8DM6wYNTRbrEFthVi6IeOeqpexem46kwtBy67SSQSyZEgjGB9OJlYT3JMMemUNIQQ6LoLTXPwzy9OxaSXMCz7bDZ9NIeN87MpVaIIE8X0TbUx6t4LDjme1RnKgLOuYu5PcwA4+6+DmP/VJkozA5TtKWMrZcBuhKKj2nRMNoHPpaD4g8tZQtGxRmkkjDTTpWc0g0b3IuSA7MK6rrNxxS7WzdnL/nV+3t+0gEGnxtAjxkHF7Ews2BGHKUxVrSQE5mfx24qcqrkVhAJCBarfV70aChh13nu9OkvDVPaEaoeYpSGiwfVDQQCGruP3lmMyV9YoWTm6ATHOZo0vkUgkh0NIHxrJsYqiKJhMweWZvrGDGbKmL6bS/sxfAlY1nP5JFWzK7sLyNBihG6hNSPOvCT+6YsZSUMKUSd0BQUlRJUUVftwGlOS5KS/y43UJwrqZ6dY3jN6DEunaMx6T6dBKgqZpDBvfj2Hj+7FvVza/vreOzb+UEgjJo7fJTkG8l0FJ0YccIyrMyuzUUDRXAJVgFmFFgGIICIAiBIoQqAJUIYL7RNBIZPcZRLt1vDEqW0Obp3AIUVV6geplr+CFxe8NoAdsKJZKIDhXvKYytCwHh2VIs+aQSCSSQyGqfWikQiM5lpmdMQet30Lu2PMUlfl2Ygd05cS7RxD5nx9YuMHJ1zd/zMCTutP79BFYow4eSXTyKTZmzdX5+oP99XcInWufHIUzPrJV5O2eksif/9GFRT9twDOrALNJo8AeypK56fTuFUliSlSjZlVNU5ly7bBmzeX3+Fj/6hzC3TYEKiGV6cw6+/JWOY9f3pxJ2lqV2946rVXGk0gkkoNRU8tOKjSSY5WAEaBrSFdOTzodU3mASlc2xa5gwrohfzkLPprPunkW5i40mLdgOaGBIqLsFQSEht2uEBKm0XPSYLpMGEzK+ROwRawj4PGjaAoIwS8/VYKi8fN7u7CFVEUX1ZRYEvUcWkSj72v7VCcqLvQHKIs2o9g1yhwafr+OvcxH93n7EXP3syjSRMQ5KQxOjW3x5yKEYM+vG1HnFxOPg5J+KrP3rsBqj2rxmBKJRNJeGNKHRnKsY1JN/HrBr8ybN595xXMhHPx6LjAFgCFXn8jgqwR5q7azb/FO9u/0UugLxSz8FHmtVJSHsf6DLPr9upWRN5xE8tRR9cbXfpyJrpjJSy8/uBBN/H3VRCkJIFPBb1awAeu6O3jo7jHkV/jYtCmXkJn7sP1vG4EnozE1oyI2BEMb0xdto2xxFtGlNorUCsLP6Mngian88uRqDl7Ks/l07MuKRCI5pqjxoWmeD+DRRio0kiaTm/sjm7fci2EksW7dcExaAoqiUlxcDEB8WDLFZYX1jlEUhfjRqcSPTm0wnresggXP/sD2nHC2PrOBFGc23fpHI0wWygoqwTCTZMng7NevabVzeOn2uZgmxnHPJQPrtcc6LJw8JomFAQP79/tY9sJyIk7rycCh8Yd9KinYnUP+xkyK12XRvTIKqwrlEx0Mnjaxwz/RSCQSyeGozUPTsa9nUqGRNAld97Bp850A+P0JuMrtDBuWQEhIcGkmNDSUTct30xzbgTXMwanPXsK43dkse2seO0q7sWt19d4Qok35TH3mwlY9D1WI2hjsRjj+uGTWR9gxfkgj4vOdLPtlD/ZzejNsQG0VciEEOWv2UrgpG/ZUEOGxEQpYCSM3xc/w6yc1yNdwqCzHEolE0pGpdgqWeWgkxwSqasFsjsLp7IPZdCmwgtGjB9C169CaPhuXpbVo7NBeiZz6f5czrqgSAn5UPYDh8+HsFtekCKnmoBqgHMZqOnRAHP5+Mcxfl41tVgZRH23n50E5jDy1FxFOjR3/XEhkpZ0QdIrDdIr7qPQ8bTAh0Yep+t2aTzcd+0FJIpEcQwgho5wkxwBC6GRkfEh+wSz8/iLi48+kuEit2neA1cEQCF2w6asdhx03rEsI3SfULxIZGmUH7K0leqOoBogm1DoyayqTR3YjMDSROT9up9+KAvyb1pIPRGJnkTONC+67nB5Wy2HHAjpHRj6JRCJpBCFLH0g6Oz5fAZs230Vx8VLCw0cwcMC/SEg4m9KSmUBQ2amL6g0gDMH8WZmHHVsDbp7Q/KrXR4IwRDCnSzOKN5pMKlPO7U/BKR42rsnGvTOXQPp2tgX28tq8RQzr1YPBiQnEOB2HH6zVkWYaiUTS9siwbUmnZtOmL/jtt3kIEQ6chmZyorAIWEhZmQ3Q0A8oFxARasbt07jhhYmHHHvdZ9tZtSaf7x5eXNN2oLGnXuh11Uu9LqLeS9Uxot7+A40i1fsd7sAh5WuMmDAbJ5/UC07qRaVvFIv//QosXcD8pQuYD1SaLZTanJg0GykV1T4zouo8BB6jnDBaJ5cOyPIGEonk6FHjFNyMh8H2QCo0kgYYhsFXX20B4khOLkdVg8tA1blcwsMFFgt07Vo/UkiIoBe8NfTQyzDdxySQtbuUQKBW5VBq/quzXXeH0tCXVzmwf11zqFJ3uNqNJJ+OMB3Zj9JuMfP0XXeyu6iYS5ZtIrzSRVilmzCPmyiPj6C6oQAKqqqgKAqR9i4MHzH0cENLJBJJh0P60Eg6NWazGb/fzxVXPIvF0lQ/kaY5inQZFsv5w1qeuO5I2P3QQrY6j/xrbzWb6B8fi8cSzmRbAi9d2r8VpGsGHftBSSKRHEN0Fh+aji2dpF1QVZWbbroJk8nErFmzmnycQHT4+6wqWlcXUAX4m6jISSQSSWekerm+o4dtd2zpJO1GTEwMkydPZsWKFeTk5DTtIEHrhia3AcGlqdaTURNwmELdEolE0qkRnSSx3hEpNM899xyKonDXXXfVtOXk5HDVVVeRkJCA0+lkxIgRfP3114cc5+9//zuKotT7l5raMLOs5OgyevRoQkNDmTlzJl6v97D9hRAd3llVaWXlQxXgb5eY7I79OUskkmOHY77a9sqVK3nrrbcYMmRIvfarr76akpISvv/+e2JiYvj000+5+OKLWbVqFcOHDz/oeAMHDqy3vGEySfee9kbTNM455xw++/RTnn32WQCsRoD7H38CVWuYnc5fVAkHhHJ3NNSa/1pvPKM9lpwUgVRqJBLJ0aCzKDQtks7lcnHFFVfw9ttvExlZPxR1yZIl3H777YwZM4ZevXrxyCOPEBERwerVqw8yWhCTyURCQkLNv5iYmJaIJmllUlJSSLGC4vMA4FVNTH/vbUoKChr0FXrHttDUrAO3otlUpT2XnJSGyQ0lEomklTGOZYXm1ltvZdq0aUyePLnBvuOOO47p06dTVFSEYRh8/vnneDweTjrppEOOuXPnThITE+nVqxdXXHEF+/btO2hfr9dLWVlZvX+StkEIgTM5BZO7HCXgB2B7Vg4fvPWfBn21aBuqtQNb1qru/VprKjQCjHZMA9zR17QlEknnp/rBqaNfb5p99/n8889Zs2YNK1eubHT/F198wSWXXEJ0dDQmkwmHw8G3335LSkrKQcccO3YsH3zwAf369WP//v088cQTHH/88WzatInQ0NAG/Z999lmeeOKJ5oouaQ6FabD+cz5duIudIhki64dZl/gNPJWV2Oy1pQo6epRTdbZLtRWTQ7WvhUYikUjaHmEEXQk6uoWmWQpNRkYGd955J7///js2m63RPo8++iglJSXMmjWLmJgYZsyYwcUXX8zChQsZPHhwo8ecfvrpNe+HDBnC2LFjSU5O5osvvuBPf/pTg/4PPvgg99xzT812WVkZSUlJzTkVSWPsmgUbvoTSDEhfDIrGyJBx7CxP5o4rz0R3JrJm+TKWr9uAAfz66890D+zG5/OhG1Do0rAErJS980lNhlzqvtZrq01bIwzBysoyKh3RCEUFIWr8UoQQNU8HNa/V8oo6W01QKgQC3eRlzfodzM1afpA+hxujPv1clYyLmMfv39lRVa3qpOoqTAe8b6BLKRyQArDqjVI7WdVTUd3/vdZy4kcozPrmPzWezg5Hb46b+sJhzkAikUiaR2cJ226WQrN69Wry8vIYMWJETZuu6yxYsIDXXnuN7du389prr7Fp0yYGDgxmkR06dCgLFy7k9ddf580332zSPBEREfTt25ddu3Y1ut9qtWK1WpsjuuRwLPoXzPp78H2vk+G8t2DAOVhXz4ZfVpJ1zrWYdJ2B77zNyQ89xJtvvsm69RtZB5gIYMJARaObEYFrd2idW7So/6rUaDYoBJPCuISXJeZCQtwuzKql6havVN3HlZpt6mzX0GRjiwIIyiwGfl1FFFU09xOqHanOnN2Ei/4JS/BXxmLo4Qd0rKNsNRZe1aBdHPD2QGWtdr8lQmAK9RFQKwGBObScStYDUqGRSCStS2dJrNcshWbSpEls3LixXtt1111Hamoq999/PxUVwZvEgVqcpmk1TkVNweVykZaWxlVXXdUc8SRHQrUyA7B7Luyey1XLHmOj1UKqJjBV1W0quulm8iwWjlNVPr5gIrO7zsZhqLw95mGGDLy4RVOX7NsK7+3gvEl96X38Ba1wMkePkpJMVq95h7jEGxkx/Pp2k2P57IcpF58HQ+c7+Dq3RCLpXByTxSlDQ0MZNGhQvTan00l0dDSDBg3C7/eTkpLCTTfdxIsvvkh0dDQzZszg999/58cff6w5ZtKkSZx33nncdtttAPztb3/jrLPOIjk5mezsbB5//HE0TeOyyy5rhVOUNAXfeT/iz8iAygLwV2DtGsm6va8B8PinOh4zpMcB6FSmJBCtRnJ2vp/ZXaFCNbhi1VOs7nMmFkvzqk5nrPqVNQt/A8KApiu9HYWaJ5Z2jjYyDAPUju+0J5FIOh81tZw6+PWlVUNSzGYzP//8Mw888ABnnXUWLpeLlJQUPvzwQ84444yafmlpaRTUCfvNzMzksssuo7CwkNjYWCZOnMiyZcuIjW2fej9/RNLvfpxA9n4A3E4HpSecCMOC+/LC4bcRKt+Pq9bOM1CNfdz/VSx3pOu8ck4wJ42ue4GmKzRZa2by7o/LUHGSYContseA1juho0XVD1y0Y6QTgBGowOjgT08SiaRzUhPl1MGvMUes0MybN6/edp8+fQ6bGXjv3r31tj///PMjFUNyhOhFxcT85S+En3cuX776KjsdDqZknMqZCS64zYsaspyzlACJtgR0fx4+RcdxVibfRpohmKIGI+Bp1pzzZ88kQtW47cFnMJnNbXBWbU9NTpt2ttDoogLD3zDZoUQikRwpf0gLjaRzYng8rE7uTfaG7dx5Sxd2OoJWlm7OCoxeszGAk2p6Z0J18e2+cHJRgGI1khBfKc7QLoedqzw/iz3rFrB3xyZ2uMOw4+m0ykyQ6h94+y6XWTzF2F2BdpVBIpEcm1T70HT0Wn1SoZFQ6fPx17seAeCfizZxZYXg/HkzCY9ysjQ5iadX3MuA6G38dWRtMr3wUj+ZeQaO2GGc5DCz3ldab0x/SQ47F31LeXkpbncFO/M8uPxQLoLKUvUX77jeB0QGdTKqfWjaNWOvEIzb8Hv7zS+RSI5xjtHEepJjD68peFOOL8znr5+8w+itG8iJjOHtS58le+UCALbnp7Dh/XMQgXx2JMVzX/j79Avo5BWv5I2uKQTq3NBzt63kiy8+p9AIBQRWAvQJ1ekdH0ZCl0S6DxhLWPdB0MHXY5tG9Q+8fRQaIQSl319KRLvMLpFI/gjURDlJhUbS0QkzKjkzZwbnvf8bvfYVA/DpbefRp8s/+anbzTyy+L+cVvkX9kcOZUHul/RJL6Z4ayIX3WXwW2Y2M40y7oofQ0HaWop2reXXZZvQVPjLVRcQXeXoqzVSzPJYoL0sNEIISlY9i7byfSLy8gAo1UPo3PYuiUTSEakJepAKjaSjcNn6NMoCOqfHhKMpCpoSdGpVc5aw3Pc1qy4VXKvrpPQw8dviAfxsjCUlMouF5uMY5spjZ1mwwGhsWQW7kgI8kV/Cbw4nI/NHsm9Pd15b/R0AdqxcfcFZxPVuPDN0Z2TlyvcoKpqHwCDoLyNAGAgCWCxwNC00vty1eGZcQeT+LFwRYRSfeA3ujRmE5DVejkQikUiOiGMxD42kczO3qByA4dO3ceGvz/DemZexMykae0UaxICmawzurePVVRSPjuLREeVWTkiYy4qwCNyDMrnsjLcJt5rweUrI2L+KxVvm0GN7j3rzuBQT//ppBqHLZ9Ojew/G9BtD3659O7y58lBk7/8Qmy0fPRBJcJmp+oet4PH0JLXf+KMih3vjOzi//iuYFUqn3k34uMdBUXBvOAfReT9eiUTSgamJcurQ1fqkQvOH4vjIEKLMJk4p+xGrr5RbvgmWojCHBEg4sYSUM3/nz8LNaM8q7k/5gqsvex6Xq4z4+G/4eM7x9BHZbFg/CYAKLJx38lqGDb0GgNziXLZmb6WwrJDc3Fxy9ufg3u8mLT2NtIVp+DQfWpRGUs8kRqWOIjYkFotmwWK2YNJM2K12TKaO+3VUFD8mbRRTp3zUbjJ4S3fh+PqvVNg0uO4nwuPrKFFCIDUaiUTSFlSvqCutWNi3Lei4dxBJq6OhEBCCEa/cz83PfUb/fXBqnoOZcf2ZbjobfDoVFicBJ9x47btoJhNOZzwAI1IfZ1vWNwghcLu301Wk4w2U49CCNbXiI+OJj4xvMGdmUSZLty5l556dlO4vJWtFFtkrshv0Ewi8mhfVrGLxWIiLiyMsLAyn04nNZsNms2G1WmveV2+bzWZsNhsWiwWTyYSmaW1iCVJVHWjf8HJP1gKsABe+iyP+AIuQMBCd2AImkUg6LjIPjaTDEWc18UVOMY99sp4dfRUe8jxNVEw0Iwt/5xdfOV+tvYFeviyK481op9xZ79gBiZMZkDgZgF83PgP57xLQ/Yeds1tUNy6acBFMCG7nleWxaucqXF4XAT2Aruvoho7P66OivILMnZlYsJCXl0delbNrS1AUBbPZTGhoKHFxcXTv3p1+/foRGRnZoh+logRAsRy+YxsS2PYtAFpItwb7FASig5uDJRJJ56Qm6EEqNJKOwt9TutK1MpfHo17kuD2XEWVEA5Bm6c3CsHuweoKJ2QJ6xCHHUasiewLozZYhLiyOM0aecdD9z3/6PBU7KvCpPqZcOIXxvcdTWVlZ75/H48Hj8eD3+wkEAvh8Pvx+f71/Xq8Xt9tNaWkphYWFbN26lZkzZ2IymRgxYgRTp05tVuSVohhA+0ZqmbtNhA0LcC98BOtFM+vvFAbNKD0ukUgkTUfIsG1JB0OUlfLN6jupiHNB3Of0XzqetUO/JzkmjcBx32PtMg5UjbDDjKO2YajyfZffx5aMLXzx7hfM+2IeO0ft5IZpNxAREdHiMf1+P2lpaezYsYOtW7eyYsUK1qxZw8SJEznhhBMaVIc/OO37YxZ6sLSE1mtKIzsNaaGRSCRtgrTQSDoMM2bMYN26dbhNbiqSXAA8GHML/f6exI0xz2M2te9SyoHEhcdRGVuJPd9O1qosZnebzeRhk1s8ntlsJjU1ldTUVM466yyWL1/OnDlzmDdvHosWLSI5OZmxY8fSt2/fg46hINrVw79kw2s4Z79MSZdEwoff3bCDtNBIJJK2osZCI8O2Je2MpmkYGGyN2FrTdvm0vxzxuDty5uC0xmBSrfRLOAlNPbKvkxCCRWsW8cv8X7CX2dEVHX+kn2G9hx2xrNUoisK4ceMYO3YsixYtYsWKFaSlpZGWlkZKSgpXXnnlQQ4U1IZqHx28rnR8O2Yglr1GRF4eFZFRhF4xu9FcEIqQPjQSiaRtMPSge0HTrdntg1Ro/gBEdonk257fttp4Vks4PqAi/Ukqqtp2517MmcOfPaJx129az+wfZmPBgs/u4x/3/aPN1mwVReH444/n+OOPx+128+6777Jr1y7cbjdOp7ORI8RRM7cK3Y9r60eEfnUPVqDCaadkyh2Ej3sc5aBKo1xykkgkbUPA70fVNNQOnvFdKjTHMEIIinNcbNr0Wb3ViMv9E/j908+rOjVyHEpt4oF67dVvwnB7bsUwqpyIvdkUmwP8Z/UXwf0H3FcVlCoLR2NzUbtPgDcQQoQnErtL8OV/5gaPrx5PqTte3fHrvlFQFNjr0dlvFVjsoCkKqgKaWp0dGUxqsK26PcsIJ+Dcz4c/XULvyP6YNBUFQfVUquo7KktOwl9B4P+6Ehow8FlMeE/5KyFjHsBxuCcj6UMjkUjaCN3vQzN3LNeExpAKzTGEu9QLQNF+N3vW5rNrbT6VZT5QzmNKfDwR3hhiK7ugoLL7sKMdoIA0uFf2qnmne4eimCupOEhit3qKgKhtbTisQiypqLqKhkbe5sBhZFQaFRXgG6efbM1AVYI3eqPKC+bgxAAToXAiMbZCJifP4+SuywClSrczEREx6DDyHDmly54gImBQ2H80kRf8gMVkb9JxylG0IEkkkj8WAZ8Pk7l983A1BanQdHKEIcjeVcLGuZmkrc2vaXeEWeg3NoGk/pHE9bBhc7TcqfZwvHfvQhTFyS3PT2yzOZrLV4/8xninlU8ePLGmTQiBISBgGOiGIGAIdL3q1RDoQrAnZyvXfeTn8+0X8Ohlb+C0WY+q3GpIFwCsw/6E2kRlBgDpQyORSNqIgN+HZpEWGkkb4Pfp7NtUSF56GTtX5lFe5CEsxsaJl/fDGW4hLNZOVILzqKapPtrVpluCUlWQU1MPvg68PcODQGF017yjrswAOJKnAY/jK93ZvANllJNEImkjAj4fZqnQSFqLsoJKti7Zz54NBRRluxGGwB5moeeQGPqNS6BL7/B2S3qkKAqG0fEVmqZw3zd7CBgRPHdh+1ibvK49mACTObKZR0oLjUQiaRt0v1/60Ehah80Ls5j3yXZUTaHv6HgGndCVbqmRhMXYWPDJj6ybuZp1zRxz6KnH07Vv91aRT1EBvWMpNC2VpqAyglBLJV2iGpYXaGu8xdtQpl9FQFOwJU9q1rGKrOUkkUjaiIBf+tBIWoH9aaXM+2Q7AJc9NpaIeEfNvsxte1n9438JLjU052ZmUJSVwZXPPNAqMiqK0lhQVLvTktt7/5g8TKqOw9oM/5VWoDJzAfqXl2L1+fFd8xWOqAHNHEEgjnKeHIlE8scg4JNRTpIjxFXs4ZsXVgNw8UOj6ykzALo/mOzolOsfZPjU45o87ivX/BnDMFpP0A5IesBPVtnhoqQacvpAJy/Nd7IlYzsDkvq1gWT1qcyYS8Wy54jYugyf1YJ+6Yc4urfAgVsIpA+NRCJpC3SfD5P0oZEcCdV+KSaLSkxSSIP91U6/zbaOKEqVE2nr0FHvpYEWmI2mDBnFS/O3cvk767h+/DbG9EwgYPiwW0Lo3y0Vu8XWKr5Khu6j7KMJRKTvwKwplA84ntBpH6DZY1o0noIhw7YlEkmbEPBLhUZyhIRF2xl2anfW/b4PV7GX0Chb6wwsDp7oroUDdjh9pofJTKKj+VFKqV178eqF6XyweD//mudAzCuo2lMGZGPRfIRZ3ITbAozr6WBinzgm9BtJmCO0WfOUb3qbiPQdFI8+m9BJ/ybCFtVsWesihBLMRSORSCStTMDvxxbSvGtceyAVmg6O3xNcNtmyKJuRpyVjstSGHFc/kDc3ZFpRFVxFecz/5KeqcWrVkQqXjjM8BVVr+lfDVxlAM3eslNgKkO/x8fmvuw7ZT1UVJo/tSlR4rbJ41qiTOWvUyezN3U1eWTmqaqHEXUh6QT7Fbi/FFRqZRaV8t9HOJ2vcmNXZjOpayMAEld7xsZwz+lQc1kMrU9WWGBGXiukIlRkAAwVVKjQSiaQNkGHbklZh4kV9sDnNrJmZzq7VeZxz1zBCIqtuvtWVT5up0NhCIinL28iq799odL/ZeSaa5eCVpxvDEX70c7YcigiLibUVlTwwb/th+168q5Dn/zKmQXuP+F70iD/4cboeYFPGNn5as5L5aRqfrg2lIqDw1ZrPuPa47vTr0pVeCX0waQ2ddUN6n49QbkRJmwujH27WuUkkEsnRJFj6QEY5SY4Qk0Vj3Lm96Ts2gc+eWM5bN18IgD08Gc3kOMzRjXPdv56iotQd3KijDPkqPHx47w30GRXNcReNa9aYoZGttBzWSnz2wAnk5Fcctt+5ry7GU+Vc3Vw0zcTQHoMY2mMQD1W1vTv7G/5vTji3f1UJ7CLatpqzBuncedqZRIbUyS2jmSkcdBwxG5fgWvZ/hIy7v0UyVKMKHUPpWFYyiURybBAsfSAtNJJWIqqLk1Ov78MP/wxuV5amA6CZnSQNTGnWWCaTibDo8Abt3koPAGabifDYlilLHQWbxUSPrmGH7afR8pw1jfGnSedzxfE+9hXsY2vWPmZuyuPTNRF8s+E3/jw+wE2Tz8diDoaER5/3A97tsQTS58ARKzQBAkiFRiKRtD66398pSh/IxBWdiL5jkvjr9B+548OvOOX6mwmPT0D3u5n/0SuUFeQffoDDUOtJ88fxxVAAo5WT6NgsFvompnDO6FP4z3XXMfPOEYzqVsk/50cw6fnPWLVrAwDulf/E6jMQvU444jlVdAxFPp9IJJLWJ5hYr+MrNPIK2Akx22wMn3omQ089nZ3LlzLntf8w///eYPDk04IOvoqCoijY4yOIHdy7yeNWOwd3xCR5bcXRSArYMz6Z9268luU7t/LXL4r425er+f1GK6b5L1ESF0PEqIcOP0gdtqRvIjt7K3Z0jIAPI+BlgOomx5xA6+R+lkgkkloCMg+NpK1RVY1+4yeif1dIGFEw11tvf4VRivFMD1RTE5ciqk00fySFhqN3umP79OfqMRt4ZnYURd9djsnjw3/Go0Q0MX/MxrU/4pz9KANcuzkwj3C6rQufd5lCQ9dmiUQiOTJk6QPJUaPHnyZS9O4WTH1CsZ0YC0KQ8csaIrObWeCw+s7e0ZLKtCFtseR0KJKio+nW7SUmaz5I7gar/8lHpjCGp57foK9hGBSW5pKdn45v8auMTv+RzVHDWX3CPxgw9ExUawhmkxlVNfPnH+ZjyMR6EomklRFCoPtkcUrJUcLRJ5rA5O6Uzc3AfkpPrD3DyVu+A7KDFX6aSnU+m/aq2t1eHE2D1NRhJ7Nl2bN8ULXd3VBJiOgFwN605exa+RnWknRi3Rl0rcgiVq8gFvAqZhad+DzHnfCnxnMEqUrr5kqUSCQSwNB1hDDkkpPk6OEc24WyWftwr8rF2rNhBFNT+CP5zlSjAxoKJRU+3l20h/UZJWzIKqWkwo+mKCRFObj15N5cOLJbqyh6qqpx/ZXfcfM/e7Gn3w0MuvwZsksLmf/xzRy/63Mc1mhKInpTkTCc7ZHnoUb1JCqmB13iezMx9OBJcYJ/uz/gH1AikbQpAZ8PQCo0kqODEIKS73ahWDWcYxMO2Nn0cXQ92DknrbgVpevYBITB7PwSRjz1O1Wls4iwmzk+JYaSSh9b9pdz71cbePz7zYzoHkFSpIMKv05GUQX7Sz0oCvSNC+W8EV05e2hik5SesBAnLjT8rgI27l7H4I9OJBFYMupeRp52H3Gmll44/liWNYlE0vbo/qBCI5ecJEcFz5ZCKjcVEnVJP6zd6+deaU5ZBIs1+IUNje74X9yWkl9Ywcql2ZR6/KiqQgkCBCRHO3jszAGc1DcWrU5mX69f59+zdzJ9ZQaLdhUChQCoCoRYTQgB83bkM29HPv/4aSvvXTuaQV0PbSErqvRhYGF49nT4aDoAy3ucw/gzHkJRW5hJ4Wh6N0skkj8MAb+00EiOEr7Mcgo/3YatfxT2obG1O1qwPKJqwWPsIR3fm7257E4v5ZMPNhK634u5jiVjksPCKef05ooTezV6nNWscd9pqdx3WipCCFyeAFazhsVUq3i4PQGe+3UbHy9L58xXF3HOsESev2AI1oPUt5q9r4j3fA9y7XiVQTF2klJPZmxUtyM+R1mcUiKRtDa63w+AZur46kLHl1ByUIQhcK/IAUUh+sr+KGodJaYFDjG1eWg63o2xwhvgh992s2tpDvgMTNFWhh+XyCkTkjCZ6ls1DN3g6xk72Lm+AK3Yhw6E+AUOFZzDohg3OZnEKDvlLh+3dAtFbaJVRFEUQu0NlT2nzcRT5w7i+gk9uPaDlXy3LpuZm3P4/e4TSIpy1uu7LreMR2ZsIqB2Z8qpk4mxd/ynHolE8sfF0A2AZhUsbi86voQSIKhkCJ+O8OiUL8gkUFCJXurFn1NB+Bk9UQ4ogFgd3dTUmzVQ44LRkRSaUpePDz7dTNn6IqJ0Bc2uIEJMaJmV7PwsjfXTdyG62ukzJBabw8zOjflUppUT4gfFpqAk2rEpCuZIK5dflEpMlL1m7Og671uDnrEhzL/3ZKav3Mf9X2/kTx+u4re7T6zZX6kbnPXRClRPgP9eP7pVlRmB9KCRSCStj2EEa901617STkiFpoOT9cRSRGUANAWqnHZVhwlLchimeCehJydh69Mw30yNUtKMpaeghUbpMApNVo6L/z29gpCAIDTBxvgzezF8ZAKKoqDrBouWZbN6cRb+fW6yMzIACCgCI95K6qTuTDq+ffLmXjK6O9+uzWLZ7iKK3F6inMFK5GUBHdXlR5hVRiS2LBLtUEiFRiKRtDbCCFpoWuzfdxSRCk0HRzGpCEC1aYSf2RsFsPaJQC/14VqYSdH0HSgmlaiL+2IfFFN7oNHynDIdRJ9h5i+7cQYEE28bzLBBcfX2aZrKiRO6ceKEbhiGwZ6MMnxeneTuYThs7e8DdOnoJJbtLuLnjTlcOS4ZgHirmRcvHc7f/reaW37YyFcXj2xnKSUSieTQGHqVhUbr+MVvpULTwUl8eCxls/dR9nt6MDTboiG+DSB8Blq4lfDTe+DbW0bhx1uJOC+FkLFdjnBGhZyd2/jt7S+DNaHqPPeXlropLo3BU6SgCBVLhE54vJXv9wRIcdiwKiqqWcVkUTHbTPQdFstpJyW3OH9LbkY5ikVpoMwciKqq9E6OaNEcbUWPmKDvTHZJZb32i/on8FC4lTKXvz3EkkgkkmZRo9BIC42kNQib1B1bv0g8O4tBFyhWDXOCE2vP8KAFZ6KgePp2ymal1yo0LVQiNEskxdlrKM5e0+h+a+xVxPSOQSAo22+Qtz3AcMNEmc+PcJjQKwIYAYEICHZvL+fxhZn89a+jCa9admkOjlALgf2eFp1HezOgSziaqvDdumzuOy213j6TSWVPThn73R66OG3tJKFEIpEcnpolJ2mhkTSVTZs2kZ2d3ei+uj4tiqIwPHU4obF1/GYMCJR4g8qNEEeU0faOD99HCANE9bwCn8fLf++9HcPn5dZXL643vhCCng/+zC2jwrj/wuNrRdINvvx0K8biHF59eDGjzujJlEnJqFrTtfzKUl/9yK1OhMWkMqV/HHf84yq2fgC7k/ojqiqhv1hSQqK7kHdWnc6j3zzT3qJKJBLJQZFOwZJm89VXXwEQHR3d6P5qJaKoqAhN05g0aVLNvvL5Gfj2lRF745BaZaOFlbODX1qVrD27WT7zJ4qzMynZk4bweRh01oUHVZYOdCRWNZVLrhrIyv6RzPx4G2nf7OGFH/YQOzqWESPi0XVBQUEFJcVefBV+DLMKVpXQcCsRETZy95bhzPFgGh7VvBPoQLx2+Qh2/CP4XoSEIlSVpF2bsXrLAehraKzZXdTgOIVGHHzrfO6N/QkslSawyGUsiUTSulRbaKQPjaRJVFbW+lkYVV+egQMHMnny5AZ9//3vf7N8+XI2bNgAQFSRlZP9g7BPSMDao2HkjBCinh/M4di9bSu/ffA2rr07AVDtDsKTezLx/EtIHTGqQf8aBecgitPoUYmMGtmFWQv3seLXdCqX5LN4SX69PjoCrUpGF7C/qr0s3MQ91wxusuwdDU1TMd76EHHzdRgWK6l/upK9784haf10XI4EVCWUZc+tQqhH/jOchkpWggYXtoLgEskxzP+u+Qvl/qKqqB2l6gFBqbmWKSi1/oNKbfSnoigQCGYWV8xqTb/qfTVHV41H9fFUpd0QfgKhhWCqWsJRghGlPr9OwB9X86RS+1Ba9yGmKkeYoSA8FqwWW21/DuxfR4YDxqz3QFrz7Ks09gRVM6bfU1q/rQMjFZoOgN1uZ+rUqbjdbgB27tzJnj17Gu07derUmqWpsvU5jPB3ZbeWy3FTxtXrV/Mlb2LIUkHOfn773/tkr16Komn0nHAyU666jtCIhiHhjWEcYh5FUTj1hGROPSGZ7WnFZGaXo6kQF+skLs5JiNOMogs85X4KiyopLvagOTSGDIrtFGbOQzHwxDHM+vM9dHvvVfQ7FtK16oISUpHDoK3vU7knmoLTr8F0yZmgNB4y36BFNGzb+r/VJJd72+QcJJJjiXxPBl1CexOf0if4exOi3qtAgAFCGAijut1AGBAorEDoAlOCo6YdqD8Otcv11UVjA0UeEOALq0CY9Jrrss/nxmIqw2/EoGl2qn/couZHHuxnCEHAp2NUmFF1gUmrssbWXAjqz1d9bPBFcEDnOrcFccAYdamS0aOjmnuhKE46Okek0Dz33HM8+OCD3Hnnnbz88ssA5OTkcO+99/L7779TXl5Ov379ePjhh7ngggsOOdbrr7/OCy+8QE5ODkOHDuXVV19lzJgxRyJep2L8+PE1791uN3l5eY32S01NJTU1lYA/wL7fFlJs83DcA+fU1GGqocZwcnBFo7ggn4Xffc3etavwFeQCEDNgKBfeeS8h4c3Lk9LUUO9+vSPp17sRJckMVpuJ8NjWTXbXEZh8z58ov+kK1i9aS9aSlbBlM0k71xHpKcPuKSTp25eoWPAtljPOp8+tl2KLCGn2HOkfeVCUDhJvL5F0cHqPGsOYmy9v9nEF72/Cs72Ybk8ff/jOddj30BzEyCKSL/i/eu0bN31OXt7DDBr4X+LjUw9yNAQCAd6463dUhxVh8nPzq1OOyFeyOezdWMBPr29As7R/OozD0WKFZuXKlbz11lsMGTKkXvvVV19NSUkJ33//PTExMXz66adcfPHFrFq1iuHDhzc61vTp07nnnnt48803GTt2LC+//DJTp05l+/btxMUdOmT3WEQ5yJN6XdxCsDHSSmqZiZlfbWXM1BTiYxvRoBsZpiBnPzNee4mSXdtACCxRsaScPJUJZ59PbJfEFkgsDqk4SSDUaWPi1PEwNai4+twVLHj9I/QZX9O9KBNH4R743z/ZPPN7uj/3FBHD+mGyW4/aRUsi+eOgtDzX1hEEKSi2htbmWneAQwvkqfSgBqz0nhDCKRcNP7rXhZocrR3/WtQie77L5eKKK67g7bffJjKy/tP2kiVLuP322xkzZgy9evXikUceISIigtWrVx90vJdeeok///nPXHfddQwYMIA333wTh8PBe++91xLx/hCEmU3cPcLO10lm+mwro+KlNcz87xp2Zlatdx7ky7dgxld8cM8tlOzeSbcxE7nqn29wxxvvc+5Nt7VQmaldI5Y0HYvTweT7bubkBb+y7ZaHatodeTspuP5Sdo4YwfrRJ7L6pHNZd9uTZPy6vMa/qlGELE4pkTSFYGH6Fv5WWnxTb2SduBnD+n0BAOxhZixHOXFo9bW9E+gzLbPQ3HrrrUybNo3Jkyfz9NNP19t33HHHMX36dKZNm0ZERARffPEFHo+Hk046qdGxfD4fq1ev5sEHH6xpU1WVyZMns3Tp0kaP8Xq9eL21/gJlZWUtOY0OS1MsNIqi8M9uodxiUni3t5VzM/1cvrcC3tjAd/3DSN6v48SMYRhoBL+Uc6Z/zNpvp2PrksSl9z9KTAsVmMaQ+kzLUP1+QubODG5oGr2WriDj61lUpu3F2LUD4XKhzfsO16zPWD3oZIa8/0+soQ2X5USjjn0SieRAFEWtidxp9rFVJoDsp5ZVNVDzGlBLCFiLwaxAveVfgdnoij/gajBe9XXzcNdPv68qdNp09H0Ka2TrBNeXZis0n3/+OWvWrGHlypWN7v/iiy+45JJLiI6OxmQy4XA4+Pbbb0lJSWm0f0FBAbquEx8fX689Pj6ebdu2NXrMs88+yxNPPNFc0dsUIQz8/pJWGs0FHP4Hd17/FGAXt+S4+KSHhW+6mflzmpezt5cR4bfhM7y8cu1FYDYhdB1FD+DokcINTz2PxSKrPHcEdg4fTrfqDV3HGuYg5bqz6/UxvD62PP0mzi/fZNeY0bgTB0LKQCImjKH7tOMwBDjzstGjHEddfomk86HUOPM2F8fIeHwZ5QQPr2N1MQReNQ/DcGESYSCqI5CC/7tjNqBHNZ5nLMihNZqy/GCC0Q0/FLJ7/UyueWhqi+RvEZ1oyalZCk1GRgZ33nknv//+OzZb4xlOH330UUpKSpg1axYxMTHMmDGDiy++mIULFzJ4cOuE4D744IPcc889NdtlZWUkJSW1ytgtwTACrF//J4qKF7XKeA4ndEnsCdxy2L7n9U/hvP7w0Yat7Cp3EzrSxsfJlVSW+BldmkFy95PwuF2YzBa69O7DxDPPQesE+QT+CLhLXbisTkK8wei2mDvvaLSfarUw6Kk7yJs0jtwf52DeuhHTku/Q539G2jPBJ7bhGBR0GwT86WiJL5F0SppiAT8YLpuf5WF7UBWFxG5d6T6gF7s37uTX9XNBF3QPK+T6W19rcNzsOb2JjTy9MWFqZDoU3XrHolm2oQud8oyja6XpTO4EzVJoVq9eTV5eHiNGjKhp03WdBQsW8Nprr7F9+3Zee+01Nm3axMCBAwEYOnQoCxcu5PXXX+fNN99sMGZMTAyappGbm1uvPTc3l4SEhEblsFqtWK3NT6XfVpSUrqSoeBEpKQ/isB95hee1617BpBU065irh/Q/4nmPjOAPMmv3VvYt+hSEgVK1Ul1rfa3jPHxgIj6znWEX3ofVduxbGYQQvPv1M0x45GNCgPTzz+G0Z5477HFxJ40h7qRg5J8wDApXbSV/zhJUTcX76X+wmo6tpVeJpC1QUJtlocnZkUH2rkwUVWHX9p1sLk4DYE3eVqhTISY8JIBbb2Q5WASXixSlEUWkkZDqxrA5Ldz8yiR+/HAJ6Us97N6aSa/+3Q55TGtRLWJnyNreLIVm0qRJbNy4sV7bddddR2pqKvfffz8VFRVAwxTJmqYd1KHRYrEwcuRIZs+ezbnnngsEk8vNnj2b2267rTnitRtlpesBcNiTiY099YjHE+JTBM1TaNqTus6oGTP/zZiczylTQhrtIaoUH1FnQVbDIJIytq8fR7+xpx0FiduH33YvYk3WTt78KY5JgQATqtqNLTubPZaiqsSMGUjMmIEYhsHqHz7oFGvcEkl7oyhKML/MQTC8fjJufgD//iziXnyW97/6FC+1WbhDsHHjX24id1cWhhDszVnH0o1plLrMxMQE+/m95ezf9D15ub/gNfaDA5TihqsaefnBJKOVlU2rWTf+tAHsXb2En1/ZSu/j93H65cc159RbRI1TcJvPdOQ0S6EJDQ1l0KBB9dqcTifR0dEMGjQIv99PSkoKN910Ey+++CLR0dHMmDGD33//nR9//LHmmEmTJnHeeefVKCz33HMP11xzDaNGjWLMmDG8/PLLuN1urrvuulY4xbYnMfEiSkpXsmHjzcTHn01qvycxmUJbPJ6Cgtlcwk8/T2n2sVZLbyZPfqPFcx8MI+An89UzMHsKq6IEqtUUwXSLGcsOha3/0EjxZ7PH1IuURxsvbtkY+/buIvKDkdhn3sOO3x9tsL9e9M4Blp2iiEGMvf3Dlp1UM/j5xXewf/1pMPkdQYVMVJmJDRSEUq2kVe1XlKo+VX2BgGU352RCVLchHJ+5oWbsU1//Z7NkEUJQtDeTfTv34SkqQXvrn4TmFZATF02Fx4PjIMvBEokESjUXbxa+xycfLiKY71cNvioKEYWVXPbWKgBWjRxJ2lfBa8vQmH5MuXwahi4oqVzJ9O9uwmzujqra2LdPATQG9FeJDTGz+pdrKTUtR2g+7HpfQi2DcewejDNxUANZrBYrM7ZPInfdZiyWnOAVpCZJb/VyVFXe4SpFrCSilJGlZnYv0Hh9wRz6RhXU9mvsH2BxmBGKhgj4GfmXqVjDQ8hbsYXdM9cFr1uqGvR4VhUURUOoSjCTsqJQVG4GLJ1Co2nVTMFms5mff/6ZBx54gLPOOguXy0VKSgoffvghZ5xxRk2/tLQ0CgpqLRCXXHIJ+fn5PPbYY+Tk5DBs2DB+/fXXBo7CHRWLJZqhQ94hJ/c7tm9/nM0BF0OGvNW4ibEJJCWdx569Rc0PkxM56Ma8Fs15OCpLculeuoIcay989uDfpTqyxlBUKs12fKqGS0lG6XVSs8ZO7NaTxV2uwewprG1UGlpy6qb2Bogs3ULfwjl4PRWoqoammVq13ojfXYG33E1ACLwL5hPm85A/dBwgUKukUIQI/iOoylRLrVZl6qzeD4Jst6DImc7Y7C0Y4SZiTh5A1A2PYe7ao9H5K306mfuLyN2TSfHeDHzbtmPbtoHYvdsI9biwAdWqS6nNwtZoJ0uuv5IR193J6ac2L/GXRPJHQSgCRSjoQieAwMDAIJjlN3pz7YNGSWREzfv1BdtZ9++tGIpAQwMGYDJ5sdlKsVoVIiLKiY5ZiKEIPBXJJJqupmufCwlN6kPWpm8Qc2MxD9QbyBLXdQhf/ZhImMmDGS/1FqBE1cNSVYvH0PAJDQgjzrGVft5gnbus/aL2YUpRGrz3mcPqzbnzb7+i6gHKLHEg4lDqLL/VPDyKujZ1gcObg2oE6OjFBRTRmTx+DkJZWRnh4eGUlpYSFhZ2+APakIKCuazfcAMDB7xEQsI5R3Xu+QseweP5iqlTGo8OOxLchdk4X+1P1oRn6Hrqra0+fktY9vHfGbfrXzXbXmEm+5Jf6Dlg9BGPXemuYMu4CTj8tabgXQPGctY3Hxzx2NuGj8CorKQoLomSYWMxh4ailpUQKCpClBRjLivF5i4jxOvCpteauv2qicwuvalMHUTYsKF0S+1BSGw0tqhIVA22bN/N7Hf+gzBZeOK/rWelW7J8HasWLMLlriA8Ipwu3buR0jeFfn16Yj0wQ/UfgNLScj7+cDoFe3ah2ez0HDwUn8/H/q0b0bN2YWhmUs+6lEsuPOPwg0mOOk9efwYRQ/pwx13/brBv3eKZvPvNPSgC4kqc6NEpZIbq5EfWpgm5MecCKpN2M3RQTNCKEnyyQVVNRMaNJ7zH4HpOvhu/eZDIFWcQeXcyzvj6Ppal7lKGPrWIp84QXHXCmfX2FWTncfxLi6g01fqLWnUfz48J55yLTmny+QYqPBSs301FQSm//BSsG5hsySaqWygjbzkVa+jB/RaFEJT9+CPZ995HvzWrUR2t7+PYmvfvjq1udTJ8vkIKCucF3/sbVlE+GiiKwbp1QTNpY45vom44eHXNkEaXdESdTYFRWc4YQBiBthC7RQw483ZWLUpE6AF0Vz7jdr5E7pLPKN63+ZDHaRYbA48/H5P54DfjihIXDr+HbaecR/iIYWjAyBPHHbR/c+jxxXS2XX09IQX7URbNwuL3UmoLQXeEEQgLx5+cgj86ikBcDGEJsUQldSEuJRlHt64MOUS4/fHHjWTr+uMpmfcNOfnFJMQ2rQ7XwcjMKeCdfzxLaN52PKoV3eKgzOfGs9THHuBnxUz01Mu54dpgFfbc/CLCwkKwWy0IIUhLz6Ygv4jkbvHs3rWbzD17KXV7MJktnHrGZJISO1cW8Jmzl7BywSL0XWuxB9wYEUlo+XvJ2R1MYeGzRWHpMwI9N4P0r95kda8kRo7ovMVVj1UMk0LA52t037AJU3l+5Aru//gmppvXAxux+zQqLTqnK+N48Kx/UPj8BjJiw0iZ2LQH1sRBF1O5wsWM3xdRGlv/9+vTA0AoeiM+poFKD5UmKyMDBZw1IBazSWPyKaOI79a8lQuTw0bC+AEATFOWET+qD/aEpilEQYWt89TTkwpNK6DrlezZ+zqZmR8CKn37PEa3blcfdTnstngCAZ3CoidbfWxVr3YMy2z1sVtKWEQ0o868EYDS4gIqXn6dcZnv0hQRN5ntDDr+4BckPRBU3GLHjmbiNee1irzV2Pr0oWDsyWgL53Dy6tYJ9a9m0pST+WLB97x57130O/1Czj1nCnZbyyICP3/nQ2z5u4k98zouu+wczCYTum6QnpXHtq07WTv7N8p+/ZDHVi5CMXTCi/cSUDQCqgVVBDAZAVQEi6vG01ExFBVN6Hwy6wvcsSl06TeQkeNGMmLYAMymjnc58vl8/DxzAevmzSUkcz2qZkM4oxh17b2cMmEEhiEoLCrFbrcQ4gw+vborPbx40w3M+78H+T42hb88+STxUe1rOZbUQVPQ/f6D7rbbnLxyw8fkFWYTE5nQIMglV9URgaZHSaUXW4nDxaebotjCgfNaMSkBukZGNzhuyfKgpf2qkV0497Lm+1M2Ro8zGz6UVeTlsurN14jt3Zf+V1zVKvO0Fx3vCtKJ8Hiy2Z/zLdnZ0/H58klK+hPJ3f+E2XxkT8YtZcyY2ykpOa8mTLCm5H3V+wZtNeXnOXQ/FHRvPiweR4izYy4xhEfG4Ll/N6WeykP2K8pJp+cXkzACDS9o+9ZuZtuLr6LrAQyPj16A0kY5e4QeQFdbf+zevZM57cFnmPHay2R/8xYvz3gPT2g85vBo7OGRRMTGktC1K917JNGvby8shyg4V753O2rX/lx9VW1hWU1T6dU9gV7dEzh9ykS++OwbyhbMRVEVnCdeiFlVKHNVYLNaCA1xEJnYjbLSErr27EmfPj2JD3OQl1/E9P9Nx7trE66F37Jo4df8bnLQ9ZTzuO5Pl7X6Z9JcAgGd32YvZt28OSjpG7HoXlRbFPbxZ/GXm67BYa91ulZVhdiYiHrHO+02pt31APN/n0vompn858mnufqO2+jd68hTOkiOHGFSMXwHV2iqiYtOJPOBhQDsjtgPBK+OPfUuCL1h1t+DERrfBSjkucn9GDy5J7u37Oaxd+fhF4CiYFYE3fR+DY77eG0OCQET517WvCKaGTffgjctDRSFPTaV0vBQVLO5XlHt2vQZkOUuIaCqODaskQrNHxGPN4edO/9BXt4vqKqNuLjT6NnjVhyOnu0tGhERbZObQDcHb77COPyFoL2wOUKwOQ5dqdpdXgKAojU0o26a8RvdVy9gT2IfVAXSegxi+JghDfq1BkLXEWrbmHKHD0ll+H/fZOWaLSydvxB/5l58JUUEctIJbCqnROhsA35UzHgiu5IweDQXXnIOsdER9cZRALSDKzyKonDJ5RfA5RcctE9jJMRHc+ff/gJAmauCxUvXsOyHGRT99gmbxo9h0IDezTvhVuQ/b/yPvCUzCfWV4LeGY0o9jjFTT2XC6EENntQPxagRgxg1YhAffJiA+PkjvnrodqY99SqD+kilpr1RUdANHb9e/1omapbZRXC5vuqeb2Dg1QKoWjAiant8Fl36p+JxVVaFf9cqB/VcUkVw2d+p+/GhU+oNWn3Xrt7BInM8x/lyMCFYYErg9C/SSPxwZU1NNgOF/Y5o7o0rOez5CMOAQABhGIiAjmvePNA0FJuNvYmRlPkqiPZpVT/ouhmMg0RqFvJFALUTZAI+HFKhaSbl5VtYveYyNM1Oar+niI8/C5Pp0DfRYwFFsyGA0Hn/xb/gbQBc3VOJvLrxelsdFcVTQdrPsXi/fYrl4hlUYaBWRSN10wN4zFbOmvNdm8shAgFEG1ho6jJ6xABGjxhQr63S62f3vv3s3Z3O7q1b8e7aimv+V3ww/yvczjgUZzj4POjeSkIrC/DFtW3yrrAQB6efOpGta9ei524nLKx9fkueyko+++RbKudNR+kygOHn3spJJ4xtlhLTGNdecxEfGgYFv/6PmY/8hc/Dkphy3Y2ccNzwVpJc0lxC8nTIK+GlK88JVrsWVTd4EVR26nJW0i3sshazwr2r/iDfNS/wQrOqnB5+Bfsz89iZUQBE8q+7phHfPYH33viWPfkulBANoaoomoqiqsQ7A1wxbgCuhYuo8Wms+q/g1VfwbNx08HM86SSSXn+NgiceZeWm1Vzz6bco5oM/nPx8241k5B6qNEPnQCo0zaS8fBO67mLEiE8IC22YV+BYRTXZKTn1DkTJbgDMOxdgLspoZ6mahvD78K6cBXqAkH07KSkzI0b3p6T70KocMgpCUTEUhbA+R8k6EAi0mYXmUNitZgb26c7APt1hajC0e/feLGb9Ng9P2g787nIUZwTO+K6ERo/jgisvbnOZXv3324jVMxEDT6R7Mx0ejwR/IMC/nv03/i1LMRs+NAwMFG586AG6xEW12jxTzpjM+zn5mE0akat+Yv5/nqd379dIiIlEa8RSKAG9spz9y3/GX15M0smXYgqJaPU5upwxsSZZi1KVAEY5IIHLNncmphILlEC42U6I1YGCQt/ufXA6Qghmrqi/hF/vraLw46rVeP1F/OfHBcwTMRhK0CXBXLXce/0tjfvo5b74ItmXP3DIcwg9/fSaeZSqHFluVxnuEUPY9c1XlBbkAQoczj/tGLDOgFRomk18/Jns3vMKO3c+w8gRn7a3OEeViAlP1bwv+Wg8pqKO4yB8KIqfu4PcT+bXaxt07bnYJ7X9zfqg6Dq62jF+fr16dOXGG69ot/ldy34mkDSURx7922H77ti6g1kz5xDWPYWLzz4Zi6nlVq7nn3wB6/bF+KN6EDF4NH1S+9K/T49WVWYAusRH89CDwSSij920ifCSdD6/4xo8mo3kM6/kysvPbdX5OjO+siLmPnsL2/eW4TeCf9ukn3/gvBc/x+xsebLSutjDwlEUhauveqhJ/bP27mHFe+9T6q+k1B/00VOzPFx/9+G/r+6tWylaUk6RCGOv18zdCaWMHtOfmNhwohIaOgJXY3g8FL3zLgBh552LfcDA+utEioJ96FDsgxo+VL9x4RlU/FZrbbEIcfjCkopy+JLfnYCOcUXtRGiag6ioCeTkfI9hBFA7yE3pqCMEneXrb7jKUS2C7i8/DYAaGoFlZNPzOBwKn8vFphdfxF9RgdANMKr+CVHnvQGGqNOuE7l9O0WW1rlAd3a8EV1xZmzgyT/fiGaxBi+uqgqaBeyh+CtcCHcpJk85Tn8ZAUWjcqnOsyuX8vizDTNLNxV/xg684d158o2GxQTbitNvuJHZX8+gS5++ZG5YTdb37zMzOoKpU086ajJ0ZGY/9Wd2ZlYwelRveh1/Bp7iPL567yt2fP1vBl79SKvMoaoahtEwyd3BcJeWELJjLULRUFQVd3I/9hUF+Oc/G2b4rvah6datG5deeilpP/5EuOrh8gF9GX3x+U2ec//DDwMQOnUqXZ999pB9vSUlzH38QfxVoegeBfqGRjH6xltRTRrOxK6NHrf5uWeoWLMGENhzckjx+Ug7/Yz6io0Q6G53vXPryPxB78YtJyf3B/bv/4revf72x1VmCGbI7TRmSiFQNLCfcmGrDJe7fj37vvkG36rVRKWlYQesqorfGrwZC0VBqFXZOqvSh4sqM3Z1u08R5CQ2Xnz1j8bfXnyeTz7+GveuHXj8ATB0hDBQvD60snQUqwNLdBy20L5E9+rD2WdO5p0XXkLs3driOZes2ICzogBt+ORWPJPDM370UMaPHgpAped8/nHP/Wx47yVcJcVccEnrpgfobJRumMWWfV4mnTqKYTcErcGlu9YAX2EPD2+1eRRVRQQaz0PTGHoggCIEU+68lyHjJ/Dxxx+TlZVFIFA/J1e1FaSiooJt27bx5JNP1tQwrPC6EVWWEnd6Ol/efwcBw0ABemfmEVPhq70ZC4HwBhP5hZ057bDyZc6fw+acDEJ0gaaohKHR99TTSBgz9pDH+aZ/SUilB3dEGKGGgeYP4M/JaXhdrz5PqdAcW7jdaWzefBcxMZNJTr65vcVpZwSi8+gzR0zA6yVzyVLSXnuVhC1bsSsKont3igcORE1IYNzrzXvKf/zldyhzVRy5YMcAIU4HN93UvHBRo15agebz6+efo1rCeODu9vsd221W7n/x//i/R59m7zfvMsPm5NxzWiffSGdk9ZfvAOCMjKlp0xwRKAj2b11Pr1ZKvK5qar3ilD+/9k+2Lpx72ON++/dz/FaVXFgDTk+8nhBLZI0PjYqKgUHOySY2Zm7DMAyEYZCdnc3iJfNY/cPnKAKMqqrVCWYrISFhRG3ajR7ixB4bV8enRyH2b38j9ITaEiZGIEDhlk24c3LwFhYSkpxMZM/eBFzBEPLzH3qS2BEjm/w5CFXFPWYkoz76+JD9Sn/6iey//i1Y26mDIxWaZuDzBSuj9kl54IgupscEHV9Zr4M4ImOSt6yMjWdMw1lQQLTFQt60Mxj/2GPYjiBNt2EYncfC1QHpmjqAvB1LefqvDzLtsksZPmpos47XCvZhSh6AzdqypIOtRajDyt+ff4Kn7vwrm794h5NOGk9EeMdYity/P58vv/weu9VCn/79GDliAKEhrRuFFvD72LZwHtu+f5f0/e6q1tqLS0hiL5JiNLL35bTanKqq1cuiXpQd9AVMGT2+Xr/qa3wgECAjK4uE3n2wWK2Agqj0EZ4bQ3G0GzUpHBQFvdxH1C6VxLkGNlNXEq4dTFxKV5546EFUi5VxI8YFQ6t1A1toKCPuuAdVVdkwcBBMPI7eL718SLl/vesvbM0/eCSS1oQyJJ6iQnzFxSgmE6quY+hNX3qTFppjjFqvEXkjgk50QzZa9kPc+csvFD77HOF5eTir2gYsWYylNS7qwuhUKcU7Gldefi7ve72Uz/meOS88zLfOBBzJfenSoyennDKBbt26HPSh48ffFhPiLcER1zFKL5g0lRMuvJR1bzzFytWbOPWU8Yc/qA0odVeya082quEnJ6+Q1Z+/h708Fw8qq+cYrALKY1LoMXoi4eGhDBsxmF7JiS2aK231cpZ88Qn56XtqfDNGpYYx8eH3g35UdegzZCCz52xk/pNXM/rGJ9H1AJrVgSO6S8uuQYqCEALDMJj74X8py8tFUVXO+dvDTR6idEs25R+l4ewWSq9La/9emYt2YPyYQ1TAie+d3fxibMEmemKPLOe4B/7a6FhCoUnKQl5hHhGKxpQbbsMaHUXZzp2U5OVQXlSIXlFBROqAQx4fqKxg5/EnYNKDypwVCLRR4tD2Qio0h8Hl2kFBwSwURaPSUx3V00lu5G2JEEBnuSELmvs3y162jMp778MICaF01EjCV63Ga7O1jjJDMBnWH97KdwQoisL111+K+/Lz+e6H2VQunoM3bQN5Wxbyxc8f4lMtVNijMcJiMIdG4FACVBbkYHgqCHPn4g7twoXnnN7ep1GDqSpaa8l7r7Dkp+/pO3wkp552CjExzY+4Ki0r5+1/v4V7+xrMuhfDZMHviEJJ6MmAQf3p07cXffv2xFmV8bi0vIJXnnkR2+6VqHWsIxZFJfGCmznn7MmsXredzes24Foxl6JfPqAI2PM5uGyRpE67mEsuPquBHIaus2PpIjbMmYnHVU7fcRMJj09g8/zZpK9fA4pCbPcedI/VWL1qF6mTzm6gzAAM/dNTeCvuYenyXay687aa9kh7gOPOOJXep12LOezgEUMHUlFajN/j4b+3XIu7pAhfVDzePin8/bHHsBl+7nzoUeyHKcJocdgBCOxx12vvNrEvJT2jyf5tG2HbDUL8ZkIqUzDc5XgrPVjrZJlOu+UWfHPnYQGqPXp0PUDx9m0YPh+G309IQhdCkrojhMDt9xFjDyFp8qkAxA1v+vISgO71YtIN3GNGEjp+PBgG/c5s+Hc7kOrrVCcw0EiF5nAsXxG86JlMEQgRwGpNwGJp3bDOTonoRBaaJuozhq6TMXce6TO+JWLefDzh4Qz/8UfskRGtL5IQoBxbT0ftgdNm4fKLToeLgr/T9IwcFi9bQ2HmPpS8/QRK8lGKM3CjYYTFYosJJ+akM7j7inNRO9DT6ZhRg1k++BQoyof8DLJ/2Miri+byxJuvN2uc9Zt28M0LT2P3lmHtOxZnZBQulxujMAdT2goyts0jA/gdlXJHDIrVgaM0C7vhRxl2Kv0HD8BkdxITHc6g/n2wVC1jHD9uKMePGwo3X0VpaRl7MnJYv3YzrqVzyPz6LV7+6X/85a2PsNiCN2xXYSHv3XMz/qpSJIqqkp++p0bOyC5duezpF7CHhJG34idWr9qFsDdeMkYxmRh79yv02byY3PWLsDqd+CvcrJ63gJ++nkvvBbM497VfmvwZ+SorEUCJbhBI7EkgPJpwFcyqQoFf4V/P/oNzzj2XgSNHH3QMe49ICmPzecX6JRvef4hhygCy9BwMDP53zscMuG4C2x9aRGRiCMePtLBgus43z//EZY/XZtX2zZ0X/Kwm6Xj7/cbSz8aR46ugdE8ohVtrP4sEkw1VUfBoKrHdezT5PBtQ5QPjGDyIfrfc2vJxOjBSoWkiTmcK1Wu769ZfX6Ou1v0/Jvokeva8vV3kO+oIEYzc6Qwc5tFC9/tZ+be/YV6xEkdxMVGqSun48Yz4v+faRJkJiiRQ1E7y+XUikpMSSE46o73FaDZ2m5X7HrkHCPpXPXbz7UQWp/PcEy9w+3134LQf3ten3F3J1y/8Aw3BmY+9wKABfertF0KwK30/u9P2krV7N3raDrweL7aUU5l65hT6p6Y0Sdbw8DCGhYcxbFBf9MvP4eXLz0b3VPD6ny5l0EmnYrU72Dh3Jn5PJWPPvZgx516E2WZj54oluIqKGHD8ydjqWDqVqozZQj90WZWogROIGjihZrvfpfex/v0nmTVzJb8+eCmTH3sXk915iBGCBKITUMuL8XRLQdMDjOjTmzMvuwJVVVnw84/MWb6SL7//kdm//EKfvn3pN2QIXZKS0TQVzWRGq0pSN/D2M7G+ex8r0/OBnazsHcrueBtrV5yOTbEgJhrYCs5g7ClPsObXLynNr69Au0cOw1S+hrILdBSfjjMHwrq7CUtykzCyoCYrMFWvEYBP3c2vP/xU/4TqRWcE3ycn/o3+o65h27tv43rrv0FlRlWDS+fNXYKvuc53fBONVGgOw9Ch75Kb+wPBfJB1CjjWKdyooFBSuoa8vF9ISrq2WeMrigVNa1/HxBbRwS00wjBA1wFRzwGwLkXp6eSvXIn3iScJr66++9ST9DvjDMzOw18Yj0g+qdBIDoKqqvz9P//mrdffQ1/yI/+4L5/H/vkPbFWZZavDf71+PzN/X4ynwo2iamxYtJAITyEn3PdsA2UGgksHfXok0qdHIkw6rlVk1TQVn2rGntQHsnayYVatpWTs+Zcw8ZLa6LW+Yyc0NgSKKXheORuW4HcVo6CCWl1zSAFVQegB1v38DWaLjRPvexV7ZDQoCkOufRRVeYLZM1eSc+uFnHXPw0QPmlgztjAMAuUFeL0BVJsTR1g4ZqsVvUwwfsBgho8Jfg4Fe3NACPr2GU6XuJ4sWjKPfYV5LN+yjeVbqsocCIFq6Jw84TgSEhMxWyz8uffDbM/9NyFUkOgupcxkBVNZTU3tclsO2TvT8Xoq8PhV1uxYEnwYFILSsTthUDAkeuyEBThDu7Jvx2z27vgckxKsESWqazKI6ppRok5hyVptp25buXUjy/e9jdt6HOmzl5Bc6UUM6AeBAK4uCfSedmYL/tKdA0V0hmw5h6GsrIzw8HBKS0sJO4LIkyNh585n2JfxbrOP0zQHEycswWTqGJENTaX0v4NA9xF+y472FqVR9p05Bveu8pptcxikrAjmLQn4fKy84QYiVqwEwB0SQmBAf3rdcw9xw4YdFfkeePYVDLOd5//256Myn6Rz8utPv7Hxo1fRVRMVlnCKFQc2w4MtdQzqjuWEVebX9PWa7ISNOInb/np0lxOeuewCnGOmcOfdN1FRVoLH5cIeEoa9idfi8vTN/Pe++2iqn9vIIQmknnwWCcfVxnHnr/yFH17/N6UelQE9Q+kzYRKKECz45lsKKmqf28OtAUq9we3y/qOafpJAckQsWQXZBEwNayJ1U7IYPvhXSiJqI432zetCWYaTQEWw//4uXZk5fEnN/ucTKqgudl/inMQFY//bLHkOxtgn3yO3oraEyIn5m/jw3ftbPF7ZL7+Qdfc99F21Eq2Vo9ygde/f0kLTSiQn30xY+LBmHVNevoX09DfI3v8VZnPD9ePwsKFHvYJ3ZdYivLt/rG2op+/WWjrM7hICtra1YhwJ/nwXzt5Owk49GVCwDqq9eK25/wHCVq6i8pJLiBw9mp4TJ2CLiDiq8lU/ZUskh+K0aVNQbU62rF2PWpxHcVYeABHrf6TcGsnoO/5Oj+RuVPoC9O3ZtX2+U4oSzJINOMIicIRFNOvw0OSB3PKvV/CVFwFGnRwxol41a1WB6c8+zeoNOaze8DbHLf4VVVNRVRVVUzlx2hSKMveydtVONu3+vmoME5OG9yG0ezR+n4f9u/awZmcpoHDxSeeiaWpV/SZqazqh1AlAVPBUePhq/vc4lTDG9+9BfkkBlf5KAoaONxCgoKIYT2EquW+FUNHTQVlMd/wVUbiyPqx3ntt7rax5n2Kk8F62QpQNTovZgCjexMJfn6rX/8A/pRAK83JiECHOQxrH8ytjGN0ln2uHDuK17zcTCDtCn8/qyTqB7UMqNK2ExRJFfFzz1u4d9h7s2/cOO3c+3ej+6OgTGTb0vdYQr8n4vr+BiNz9TepbHHd0la3mIITA1jOJiLteqNe+9umnCfnlF9xnn83oJ/7ePsJBMHuxDNuWNIEpkyYwZVLtco1h6Mz6bQFjxo/qEDlrhKLWZMRtKY7E3jg4fGHYGz/6mW1fv8bPX85k/fo9GELBEKAIByd1mUgXy2gSugkqAmV4DRdOUzjWkhAo8eEwlRMSmErvHgaO6J3EnDSsSbLpfp2IhbPZUbQHiqodm+toFAr0c3Znd/eBhPgL6WvX2FbhxhpxF90H/YyIWI85EE5R4SnsZSbhvhjyKcZQDDLdglSnlX6WcirFt/UnFvU3ijxhvLvtPuwmD2b1wCzFte/DLBVcdVwPpo0exYc/bsJU9acJhqqLY7ogqlRo2pHQ0AGcdOJG6lo+qtm0+R70QHnDg9oYVfdR0i2Z0CvrZs6s8wOocxOOMLf/xbQavSCbvHuvw6ioBCEIuAXU+eEKIVj19NOEfPIpJaNGMfbZZ9pR2uCqtyZ9aCQtQFU1ppx2cnuLUYNAaVZtpCNBURT6X3g7/S+sH3yx5Y1PCEtPIGxwIe7NAqcSQ8rtQ1EjQ/HvSKNkXRbPbIvib4CqqOxx9WP3YwtBQGW/9wgkLsDu7lulp1SHRdZah8YM1uiy7QYslQmgBK8nnuUf4E9fBIAvphf7hxxPmZHL8g070SxDMDu7k7H5TCDos5II3Lf7DAac3ZuRpyU3+9w37yyC5Ut5btIIzjm5aQ+TrgovK8K6ccY9H7LFEkN3TzELXr6yQb9A5k6KX/k7RlkZkX+6Fcvo0+rslRYaSRNR1YbrsVDlDNceT/BCgGpGszU9r0NHwLvsN0qW7sMWb0K1mnAkOQmZHLyQuHJz2Xr3PYSsWUPekMFMePed9g/ZlUtOkmMFRTliC82RYgoLJvhzXHgGYVfUz5hrGTaS4shezNi2hBwE49DoGeqkwDAo9+l013yEA6rJjhLQUUwaCNAIQVNC2SgiuTfiQhgHUV6dsQUe7nv6hvrzF+6moICayE9BfQtKNWUGbFi686AKja7r7C+q9YsKc4QQ5qzvt3LnzC0M7RtN1/gQzKZD3yO6lOSwJawb8XjJ85aRaWnoo+Lbspy0869FUQVCQNnKewh7LoAlZQgOhw3D7W5k5I6JVGg6KopKUdFC5s4bQNUCL8GIHR1VtTJi+P8ICxvS+tMaRk2+gs5I4r9ewTqi9um1cONG8i66GJvJhPvmmzjhzjs7hiIhBGpHkEMiOUKEogYrybcjJosFMNj63kz6XFU/LBygX3Ik9w7uxsztebzs8xJR6KOk2vqS24+b4pfhtq4Pps+txqdy0uRNOPNyYXsRAEVWjV+6OjlxwFDGblnPlhOvpGD/PNz2cNDCwSjBGXca0f0ahsDv2RNcrgqJPvjD4p2fPcR8/eeabbNuYf6lC3jrm118uqm27MFJry5kfFgInz104iE/l8q+XcADcy3Bitvx7kIq536N4a6g9IcfwF1A6aqgi0HCTefgnHIue6+7nqLb7603joGCDwX7IWdrf6RC00Hp1fNOIsJHUi8kD9ADLnbveZlKT2abKDTBcOyOk3DsUBjlJXiW/grCwLt5bVVj8LPSdZ11776L46V/ARD39n+JH98+KeUbQyBQO7HiKJFUYzVVYts/n2//vSNYW1GtKhyqKDUOt0GLc+1rtdNH0Ae36n21Y27VRvDBo0rpr9qu6a8oKIqKomjBfn4VU3ksvdKHkPXEEgpFJolTuhE5rD/OuCQAbr1iKLcC8xanc8ePm6tWkwJsyerDV+nT0E0aSkg4CcIgLqwU3eSisuIqcPYisnAjuhZBkppC3O5o3pt2Dp+degYXz12LEXc7ZpMNtep2etnfRxMeFcqWtbvYumoraWtXETC5MTQviqESrY1l1ntfV0VjV2UyqwrLdu/dSkSCmZ4ho4myRTPb9wO3fnU3G7dOppj6QRjDkyIa/Xssff3PZIUOwRzZjXWeGBJMbu4eDv5l8whfsYO9v2fVdlYgdFAsYVNPJezPjwJQfM1k4tb/Qtr4f+Lz+dibW8aPeyv4SLVIhUbSMpzO3jidDZ3k/P5Sdu95OZiroS0QAtFJbrSFT9xMwY/r67WpYVHkrFpF9g1/xuHx4O7Xj76vvkJY9+7tJOVBkEtOkmMAwwiQ0DuH8iwn+7en10uZUvta5Y8iDpJCv2FalYb9DtVW9V+CrTd+w0sXey8SLX1gDhTP2Yv9qQRUc+3S/kkTknmuxMtfFu5EQ+WMwm+Jd1cA4OozBGGykF8WCUQSE7MYq+NbTH4LJv8+4qzrOMtip2KXg9LdYXiigskQ614xP/nkU/oP6svS+auwbp2PRrA6dzXbc9IO+nkOAmKKogib3Jdrxl3O7Fk/sFYsRfRZAzueAMBiK2TjI5dgNTWev+z6jNOopLbEwr393VxywVWIc87Hu3IW/l2byNu3ilDvMrIcffHYI9jvTUP99yVYK/NI8abhSnAw6ZpzEIbB9Dkr2OwqRG9hTbyjiVRoOh0tK5BZuuoFjD1zqE40pwij9opjGFRfgSJLyymO7bgWmh1fvEjW1o0AFK3JROkSjblLHAJBQIfSJ14kbPVq7EDuSSdy4htvdEzFQUgLjaTzo6omose40MRwrpj6n6M6d+a87/CucYM1gFLswOKKr7ff0DwE4gso+ngOlRuLg41VStVg4EfVzhtmK3PCp3GZ+0sAnDs34ItOwBKVTEFYNJ+Y/0Himj3QNRiJusmrMiyljAFJHvLK+uF1biasrB+65kM1dFRjCUU5JuYX7gdD1KxgdR88hbPu/nOVBaoqLLyu1UkNtv/fE9cQUuLi0QuChSw3XL2hxkL/6qJ5fLKkgLziaHLdRXQP79Lo5+LHxOODirj4nLMJBPyEOkP57aFLcbsqUVUFAQw3ryXOWcJ+RUEtzyRUVGKg4bLEkKclsDr2XHa//g6/ZVvJ0KOIoRSHNx9Iap0/XhshFZpOR5VC08x7tGn+S1grKvFbLNV23uBvu9qsqwSjFSpCnSi9J7WuyK3Ikp9/w+1TcFgUAjFOdK9A8XkJAB5NITpjL64TTmDYv16ifxtn+z0yBKqMcpIcA7gDYQTUQxdzbAt86z1Y85Lwxe+HUD/+HpkkXXw23oICAuXlOCISQVXIeW4mwghBNZdTN6I0QnHxExpYY6hMvpVTPfv51bkDYbVRKQJ8MnQkYLBhRAQRucFjLIpgm0clsXwYvtiuQCEFjmCyvDN++onQchcC+Pn0B7HGmDnp7kv47V/3sW/jb8D1KATz5lC1LKcoSnC76r2zsAK9tAJvwIvVZK1SeILXiTuPPwWNxbz4UwkXvPMDK/96Y6OfixBg0sAZEsaSF/7CuvV7qAyYMKs63WLMZBX4cYbFkOwswZt6LmPOuYVKb4B5vy5m5rJ1LCCBIlcIcUopU+JKmZqwn7HbnsNiWttmf8vWQio0nZRt2x5h586Dhx4LoWMyhTJi+P+wWGLA0HH3HUf4Jb8eduyjf2lqOoZQGDgwiZMefqde+8rZv7Hgv6/Q/a3/0rP/gHaSrukoQqDKPDSSYwCBSmOpJ9oay/5gZJN1mIPEk6bVVoW26hS9tJNyU9Aqo5i7oqiZdHvhsgZj/LBpD3/53yo22HfwvjqUyy15aHiI2LaaO7evxZU6Ijgm57NvZA5XOmfhElZer9xEV6cZkzDRtaIrArBVeoLzAfvc5ZQYKaz9NJPh3czMLZ7Aq0/N51/zX6Fv8T6qOwpAE7A+KY6sKCeaVRDj9vLTUzdw/hP/qyfrXTO+ZmOGC4UoygrD2L1tMcvyiuib2IVRKbWJQy/J+oq8vcX8c8b0qhYTY4YmMPrGJ7DFdOWjG05nQ0kXNpR0IbLoZ15d2ouVBPAA3enLhY71nD5lNENHTkE1mxG75sDWYBmZjo5UaDoZJlMEffs8hs+Xf8h+7ordlGb9Qtn2T7Cp4YS4vZSpnbBm1AEIQaPRQdVho51nGUegHsMJriR/HII+MkeWhyZv43wqyzIQSgBBgMiksUQkDT70QRPKCKw0MM2MYNHm37AN78/oCd0xKjwoJiuITOwDY0CAc2zjtasGD+rJwv/rydYld5NVeSeKAJPWneLSQYQZA1lADhB0Zr5Mmw9AiOJlv9DYH7cquE/rSkXMw/RavgCbP4DHYqJn2U/8YD2DgKKR1G00gdKgD883YyZzc0gpUTZzMJfN4u8pub+UWDKJrRZKh/S9ofyy6XlUVWV7Fuwr68qMlU4WWJ6iu63q2v85vO3/E3+P0LDGXYeihxKu9ORcfylaaBgTR/WgIL+E7bZ4PvBo/P7aGyh5+wkrr3Up+EybghPBjT1imRTtJ3q1gaVwJ+KjJWQ//ygVaUXoXgVIpO/NAbTGC6J3GKRC08lQFIWkpGsO28/v2of560+Ax2ra1NDENpTs6CCgUZ8YUaXQKK2s0BiGwXt//w1/haDfcXGccv7IVhlXkVFOkmOEoIWm5U/vut/LxtwbQK218oRuGMWYpOn1+hmGwZJfTsFrzyDKO5lc+zwW9x5L7LbLmJbppCxzD4Fx3VCtQeXBPjCW6KsnN0mGvmP/j63fL6WwMAm3O5LTbdNwCifdPCmkB/YzPORRxC43K/qHMbvcTKC8P4lGFDtCTiMQEgVmB/m9ziTXYUcInR6+PKblBq3hySOnMv3ikXjMDn6nK6vKStk0oQ/7vv9/9s4zPo7q6sPPzPZV78WWZMm9N1wxzTa2wfRODAQIARJIKC/NSaiBmAQSSEJPQg89MaEYgzEYG3DvvVvFVu8rbZ2574dZrSRbsiVZzfJ9+C07c+eWM2PNzH9vOeddzh39e/gKHpn0JGkRxrJsoUJG3+1QZMSeG2oCLTCEn6r9SSaaYpOFPYNvZtKWR5hn+ReFzgmsBlB8aO5tQC+06iq++3ZT8OxyGGQyUxSXTFS/QSxP3oY7NpLnL32ekUs20WuLwuBbx1P5n0+oJoaKdeVoxbuDZeuftW6/hfaP5NS+SEHTQ7EIozfGPfGn+AaehS2iL+Fxx/jFcwIgRNOiJdRD0w4O8/wBP+sPrGdVziryt1eTWjQBgO1fVbLEUi8QGwqruol7Ck2kHSbA9lfsZ33mek5XLgcuPW57JZKuRKCCaFkPjVbjZd38mwjYy1EdVkAlKe58UHWyHHNJH3cNGxb+ggrnUlZ/cSWKYsZmTmHo1D8hdA2vIxeAKtby5Z5zmH/gbGY6rfRNi2TkzmoO/PwlzDqYk4eD1vJhMJPJSn7OUIrL07BY/PzH/iP9fX0Yq2WSuudHYodVoJQKUn6cyoBAEn8x/d0oWPYuf/JfzpoEePqy20P1Rbs0fv72OqotZh7fZ8OhZlPRqz8oZsojo9g1ZRr7I5Nh6iAAPl0xjhkeoxfJ7w5H9x9CNSURO/AHkka/T5knmlv0iynyXYzqq2BoeTllI6YSu+kbbo0qZbUGn1/0BnHh/bjl4DRSfSmclTIER9wwHOOGseCD9+l7xnRuPWsKE/6zHoclmoqKIrbsWkq0awz7Nm+nusxGHGAfcwOqI5qqA1/jSnNTGR7O/rxcLu+iwM+tQQqaHo4j81wcmbOOnfEEQefoPTSt7fXQNI1tB7exfP9yNhVtYq9rLwUUEAjGSunrGUkqhqCptBXzecnnCETTwqUlM7UFOBQHqBCIbNpLtERyIiFQUVo4h0bT/VSl/tgozVVrTDb1izJMZjvJiRehF3qpClsZymNeHEmp7xtwQIb9YRImXc27f/2RAVYvLz80jey9ZezM205fTKCC8OfhOGV8q87j1KQZfFy+HXN5JuGuLIqAz5UAavLlLCm5nCgVTgkzcb6pljL1VQ6JeGwEOMe0hvLKi1jaoK5qh8ozV/yMGNdDwN9BhyFbHFy2YiiDD+zBZNXoU1XAgo/voTBxHJsGzyCgGEEkRSAfv+u/Rj2bY5ioVSHEYsCYBKwTTdXeaJz7R4H1G3Z5nWD24dM8vLl3CddPy8daA5k//BqKwLp7HpizKPjua+5f8QPTKmKJKiplca0xB3OFeoiL/p1JXHD2pOqIBsBx95UMGT+EPXv28MPbb3fP1aKHIQVNT+UE+ONrCZ6SPD575Bf4fBpCCGr9piZvrKIiIwqx1+drti5d19lXtI8f9v7AxsKN7K7ezSH9ED7VKBOuh5NmSWNc9DjG9hrLqf1PJT48vlEdv+HKdjmvYa+NxWbt7m6qJJKWoCBaKGisEeFk2R6gqOILXLbNDE74C3m5b1HtXEuu52UKvvgPU2b8SLI4lyVLB4XKHTK9AQ54dMnj5Pgi4ZOvAJjkNPytZPSNJePBU/n4/BdJNhcyPnUNyoc62rsKQih4Y6cTdu+HlOfm4qmuRgtoaH4fb82fT8BsxqRpweVBZryOIsJdWQCoov4HUqUOi6s1bkx4GodSw18Dl/GGNpNopZaL1K3c+t3HvDFpFm6rHc2koEaGgav+3BNcYaTq/fAkx3JwzsdY9wlGj3mYbz5MxuktxWvXCHjWo/l2MHlXHtFuLzVWMz8f2YuiWI1/7vyaZGt//EoAW1QqGhH8MmEI61Sjd+ziz25GKD7uUQYTWZuKXSkHk4ew8DQw5itjttixOOLxxVkw11aDIvDqtSEbA9SLgqShfYB6538nwhC5FDQ9DVex4e3XXd7VlrQLFbvXkV0s6JdixeG0k5ikMnDGFUfkM5uNP+X/PHxf/bCvrqMEb8ZNWZVs7+/FbXIDYNft9Db15uzYsxmdMppT+51K79jenXJOBhrmZuJ4SSQnEn6vDaEGEC10Fpl56s/RlwVw+Taxs3AuutNdX5etBCF0TGYLQ+L+irs6L3Qstvep5HyVwwXR4ZzeJ5Ywq5kRwwzfMz5fgO+WH6TKlMhFIz8NlfGmXsTWQ/tZXpGK9sADVNrrHc4BYDaT5vGQ1bt36MWtqCp9r+7Dwrd34CsRCOFCUWMwKxq1/mU4TMZkYJPmB0DzQ9SAoVj3bsBtsRHl09BRqamI4MyKV/j7HZN4/cGPqCmOReudR63qwBoD22JGsWjZHkjec9gVSid67XIAwnwBxruuZh95iC2rcVX/B1VorLg3QK/SdAoqqvE4ABSm7E3E6whjv28YAHtiv2bU6AVUqYIfFj/Ibi2ekf5DjLaUYxIeInq7CEtyY3YE+D97Of0xrqUC5DtUnrcYz9TQdTkBfiRLQdOTeOdK2HXYsmzTif3SrLuZJl37SxLHzmg239QLL8FdkkvJ7s24S2uPOO616kyJnsKo5FFM7juZvol9u+wGDWg6iqphVa3HziyRdHMO7RuMzxXGM/vuoV//REaPmknv3iOPen85IntDqUA3u7G7M/E4jDhHJn8EimrMg0sZeV6jMh6XD8hh4qAELruo3jXDx5/tYevSg0RXaZB8Hqtd1YwL/4B99rFk3f46nz/yiJHRAgl+L2eOPQWrzYbJZMZit9Fr8iRUa73QCXhr+egv/0ehNR5npTEcZlY04h1OJkddiVeLxWYqY0CRzk9LFhDvLsFzcAqjc3fz/pe/YFN6Cr8a/g0ABSKGHQ+Fo5UYjvkuffo6Nq56hhIXHMwb2uz1qYqIwOYThMUP4rTC8fQ+OJG1Y2Dgrnfpdeh7ihdbGLvuEE8Ar56tsvAUhWsXHEC3xbBoxjAOaTHsy46hatN48q0p7I2PA0Vho9aLq8e/Snx4MapiQ+AF4Dslne8atG8L+LAEfyTWzU+UgkbSuUQEPUcOmAW6ZoiZ0r1QkW2kZ50FsS0LO99tEC2bnxIWGUll9jrcpX4csRDXJ47U/oPoM+x0Htn2OxQN/nLJXzrD4mPiCRhDXFaTvP0kJz4V3lTCHG4iIhxsWO9i3dqPcTjeIyrKHXIeV+ch1/g2HMlV+y8gx1KAJ6EIb6kVZ+0g7GoKX7x7F6CgNnAq59NqcNcsY25EHNqaRFbmGuttbEPO4+BncUQ3sGeV62pGh80ny7OWA89OZwxRrMNYEFFssfHhps2AwISGikBfshgt+CpU0IOrtpJQ/PXD1wFh4mCtl74Rbor9b4If9g+rRWx+C19tDd8Pf403Z/npVzyWM/ZdBRiCJkw7C7M+jPRwBZdH4exXplFgK2KAzcbEMe/TV4vGbPbS670atlaZcDum4VL2831WIoOiJjAy9kz2Vxg9QV5bKQvHh1Htj+HXC4we+Mh0N3PcVm773I27JgyXYsckTHzr64M/3Mye8CODZP7o0XEKMwqaEX9KV7jc83Ms4QkMDvPh8USQ7JyMqhpzkOSQk6RrGHgOrH8Ldn1Zn1bXYyN0GHUNXPR819jWRupuJlrgVddd6aXf6WlceNvLjdLVHQpC6z5OodzBB6VF9tBIegBCUfFaEvn5z2/C46lm06ZP2L17N1VVNoQQocCLoW8E/gBUlkdhsqgURe5D94VTowdQtIJgDgFCZ7B7M2fWupng9uAUgmK1kEK1CnuFiX7aXjauPgj8BoBCk06CxQdeGw+aX+Ny55P0rjnIJNNBLtC+Zj+9KYwYgbXvaegCdCHQdfBWFrD1UDVWU4BasxeL3Y2rNoZVKaMYUHyI2MoS1gyfhDc+HH/1VtymzfyQeTX7V1Zxvu4kknL29TJEx56EtYw6NI2na37PTx3PURS4nihUBpugyq5RYDPm+u3ymtjlhd+/XsGXYxWWnm3h4fQHuObMn/CXOReALhBWY6Vq1oTXsGb8SKErgjXFUbirYsmLqyS9RKfX5HJ6Bf8dNhTGsm/kGRQ7C+gdtZf9RZeH/o1MZhcoGqrJxSqPH8VnJRjwBgF4dA+U57K4XDDMcZAZps3U1PyMsLBY2UMj6SIGzISHSps+9sb5EPB0rj1N4auBmmKoKYXaErA4oNcpYHUaxwq3ceDHr/j28wOkOvuBgBRHFt7KxpN9n/zNI7jKynj8pb8BkL3jW/y1KkkZA5toVGkUsbyrqe+hkYJGcuKjoITuLrs9gvHj5zD+GAuM3vj6DSq/34/ZaeE/l69sMs/BA0vo9fqFAKwbfiHpY24koc8ZJARfrOv+dC5mEeC2l6by3N+f5obiV4hXXfhNYfjMESh+cGo1hOuVAGSSR/jZz5Iw4uzGDQnB4NUPsb3836goJOkZ7CSPP9uvZ1n/kdwcsZkMSzKvlydyetx2/r3+D+iuH9D4HR+nXEhWzT4Gb1hPdp9sqiwRvDQzC2otPLeyL+BivA53eIo45M3niT1nYB6TxX5PHpb8Muxx+7j9s2Iu2h3NiD+PQFVV7nn3M4a/MZxZZfuZG/sWz6YZQ+ij7/MymiJ29iri4TkmvDYn63PqT6PyN1U4fJ/wbZnxfImIW4uKgmJNRVUtxDjT+GzWszgsxmqpIncVVyx6gCpPPqq/Aj1Qgo7CJreZTW4zzy1ZgwUbem0tw6ITZA+NpBuhmEBrfgVQm6kpNXqBdi6Aylwj0KXQjCGvht9aANzlCL+GCHYjhx6DqhnCE6A6H4TG5kO/5uzU6/BqtQgEQ02TYSHsXPAZRTU5bK34EUugghiM8d2y/B189uxTOOJgzPRbjjBRVRSEEAQanL/SIOyASe3c28Cr1fXQnNjzmyQSAMVfCzb7UfPous6PO37E5XEhhGDX7l1YsPDEHU80md/vr8VTUxLaH3Xxq6iH36dCD63mnGQ/QKYaDLik1YBWRLkaT2n0SIqc8ZiietH7ogdJsAS9pQuBXpqH99ABNux7iIAawKFnkTXgfszOZBIVWBOo5cadFWy3RHJuyggoL+DDUgeKiGLy9hpy4vPI7tWPbc4J2JdnYc2HqVgotJbh8dSyPeiGrlKrJsPZjwxnP/DDoScfILOyrO4kAIXeO0spO+9K7v7ThUwOS6G3P8DqyB8A8OlgbaAlBh6EW3+4n5rwXtT1t1sjD5Hi/xCz1ckQWy6a2URWRAzf18RQJGKIV6spKlvGjM9vY9lF/wDgnpUvUVq+jJSEszErppA1Ne5DoMcRY3YSUBR2hUfx2chTudenMbCbO5uXguZkQQ/A/qXHznc0tADkrYLaUqjIgZ1fQPYPxjyXtPGQOgZUkyGeVBMoaoN9M57qNEqW96HJyJr1Cx0YHQcBe4DM304Hk0L5rhxKNxzAf0AjUx1ObaCKLRXfA/DM1RdgsmqY7HDpfY9htR8ZkNKimNheU8Pot4/08qsi+PPk/2N6/xuO79q0An9wdYRZ7b5RzSWSllDm8uAQHjzBv+nmWLFrBV9/8HVo34IFv8mP6fB7QPPD7+OxAH0bJG98ZTKBuL70nfoosXEDjEQhyHRvBKBXMERBQ6qUMOylm4kv1dk7/J/oOzdSvXgrvnIbAW8EuogGII3HQmU8KwAqQvuv4uSDtCjmBoz699KHLXm5xJoq2PnPZwFwW21ceOOfuaK6kvPcfsx7TYRV+3ioVza7+2ZRfDCG2/fs4VdbPqN3wEdyRDG2wQGsmjvkYLlGU1keY2Nj+SIe+30VU6vNJI0vojw9wMqCSJIHKqwecx/xpZsImB3UhDWOtO2rSsWi5JBjTeX9q74PpSd/uwGAPWeNYsbnd5Bf8g0/+fZP7ChZjb92BwB/mfx/DIvuRXNsq65l6ppduPTu08vdHFLQnCzYoyDghf/dZggMRSEYw974bmof6re1AOz4rH6CsckKmWfAec/AgHMgIqnJZn151Xj3Gl2+Plc1UELsVcFhIdHAYbpouAOW5DBUi/GwixvUh7hBfQDYes/nDI05lShrAg5zOJvKviN2sp3JF99OTGJWkzbcNfEPjN3/3wYpRkM+3cdzO74kvzq7xZexPQgEx6RNihQ0khObyuoaAEaNGnPUfLXe4LDJrNH0S+mHoigkRiUembGZVZmjC3ZCwU4O7P2O2AcOUVlyiDGG+sDn9ZB44/vs2boKr9eL++s/cIp3JRlaNgESyPe+hnM+FOJGVROxxxRhS1MxJzkIRPmospQQFjmsfkJJ3XNIQO07NSRbVV4aksGW4ko+WrGb+EAFfm99l4nD5+V/r9/DJxddyMLgKPLVlgUsm/iKsZMAj378NKmFeehADSaielcR1df4Fbf5EiPEw+jweD6IScU3bxoAhatiYBWMBnSLIOWCt9AmXEXxur2M2vQc2Y8+ToQzEsWiYjIXscs9gWTf2kbXbaK9kLUew2Hf/WN+zh1fLWVzzluEh48Aez90vZYo89F717zB62E/AWLPSUFzsnDGfWC2GfFBgpPzEHpQSBy+rx+5r5qg9ylw2asQmwW2iBYtCa9alI1ndwWK1Xh5W3qF4xzVxIOshRyM1bFWeAiEJxEnophy1plkXn+kX5qG9I0fS9/4I3tnqj0lPLfjS0x0rrDQgm7i1RZMdJZIujN+v9EzY7U1Px/soRcfIlAcwIqVzJRMhmY0v1y5rLaGPZe+R+WPf8CvRGK2pDJ01m+IiYwg77XpDCjZD49E4bJHEgWsipjO+OBwV78RkwAIjJrMind/T3ne9wyveqxB7SolIoJAWQRqGah7QMGKKsJx4UKYFIQKosGcoCjAERfG+g0FvPHtPgDOUx5nmlLKLN7Hc+1l2N/6CJO/8XD+QHUnD+19gQpLJKdUbWVNYib9CvPYnJqBLT6WXRdMIcazBVNsJo+ti2b3/goEJSCKibj5BV4eZ0d79HfE5Rnxnfx9BeHRfbFH7OPQkFqSV+6kMLAcW0oy5UUfE1G5iiHU4mq03gsyzLWsIIle367hsdQKFl2+BFfAS//Ilj+DPcEfYLYT4HklBc3JQspIQ4x0AmXv78RfZPwiC5S4cQyNI27O4Hape8Zvzqd83xpM7x5Ar7URMbrtzvB0YYQ3UDt5+bQW7LqVPTSSEx2tbknvUVbAeEu8+J1++g7ry7C0YU3mcXk9fLx5G7/7KD+Y8gAA/yAMsTOP3ZdZSb7kX6xe+XfGbZxPL08VeRYzb6TWcGjVJ9hMVkwqmE0KZkUlt3ckCal5eJYVYvcmURuoJse1DaFY8VsyKbeEhTqF63wc6+FmyhOsjEiLQjUWl1MgBG8KN8stChEW0P2CLSKLgXuM2bj2tz4C4NvBGdgP7ccfbXgWX6SN53x3ObrZznaG4TpjPH+KimKQaxdmUUXviVdSaroKq6Ky6801WJ1mRvSNZW9+NaUHXeQmDIbn/s26gzlM+HIOtu0q3n8vQ/UopAGBREGU5UnIhoa+zOM1G5X7PkIJPluq3IVAJhpm5hdrjLTnoygKaysqjM744FJ66uYUNuipr1vVtK3GeE7a5aRgyclCoMILAR1UhdpNxVh7R2BJdmLtFY5jRPyxK2ghxZu+p/aDGlSHhZhb+hGR3na/OppmOJX6eMOHrNq0AFVROL/fRZwx8e72MrdJdBGMO6V0/weERHI0dL1lXmSLbcX8bNbPmj3+03c+ZO1OY2hkaFYBAyMy+O9GL//Gy51KgL+uziNNrULXe/NF0i2Y7AVMzPiBS9gNrrtC9QjADyQDhfo5qFkH2b60FgXQRSQmaz/wQa1ZbTTCpGqCsKIAFWnhnDItixV7y1hZWMl8v5sym+CX/JVTz/qegDueASMW8eZ7xeTELKHv6edSWpPL8Kof2ZIbjiV7JwCbsLF3wuXGdMEwsC+czzBXVcjOO3bm1p/82HjiqjU+vGAMDy/dzRsHd3Hf6/VDR5mZv+V3s37PTvdoUmyjiS15Cy3cT13HstUHYXoYlRYXHlMhaw7cHypr50pQJgKwxp/EefvattLVrAeIqtgPyU2tIu0+SEEjOW58udUUPb+hUZpzbCLh41OaLnAcVH+VhzXQi4TbxmCLTjiuupwBL5dUuyhwhFNj9vIjbr7c+RqDt7+JgvEsUkOuvYxvNfir5pahNzJ53G1tareuO/sE6MGVSI5OC3poAIbGDw1mFxwoOkBsRCyRjsiQEMotNYau+qTl8K/LfsLnq3fyX4pZQoBU61oyCo0fAb7wACmOQuIcRkgES/zdDE07m4AQBDSjx8ivCeyWMKbFp/PlqwtRLVZU1YvN6kLzl5HYx8wl917UyL6f/W05Y7a5+TxW55+rtqGrCqpZ0N+n8htWEMf36K7xqPYNZG9+jEkDczCNLSPllF/RNyKWhV+eTtbQQsaPept//vmP2A8doGr+2ygCQBAWvE7lA4Yz+bZ7eElR8QuBX9e5e3suFrOhTh46tS+T0qLx6wJvQOee19ayPzuBfwau4dyMRZi17QQSjWuVsi2G1HN/S0SvqZhsUQhNw33wG7SAKzhdAMYIwe2iArPqBKEH/fvU+wSqn2JA4/QGfoNwFRH17SNE9H0dkIJG0gMJlLqp3VAMQhAoNVR/zJUDMUVYAAVbRseEmjelK1ACBX9egxheSfqllzU5ZOQt3Ya/dAuoJhTFhKKaAdVYIq6YUFQTWk0+j5aUUXXuzUSOn8uSFX9m2YFFdbdzyKmfjh7qnhYIPvEX8d3+LxiYNTPo36buIWE8GERwDlJdeYEOer1TseISYyz+WC8BiaS7o4fi/DSfx6ybKd9TzgNPP4DQBA63EZTVp/rQrTq6olNUfgYAB3LTmfin7xuVL7dHccbZZzJr6ECiHXa+WDgCRdFwu9OZ1O9qnM7YZtuOTw9nzyof59+VSe/+g5rNpzuNZ8iovR6umJzCxN7RjOsdjdNsYsPqTyithjDnEKo9uXjFSoSiQtVYHGExKIpKr9RbKC55hJc+/iuuxDREn0E8fcftLbqGf1h9gP02ha9ySpmRHseszPofapf84Zygt+XZwKNouqCsxkfu4hcZUvIwK3fVMiErCgDFZMKZfvYR9ce0yIqjULoXFhbVC59ujBQ0kjZRs6qA6mV5qOHGZEBLchjOYXEolo6dF5JxxZXUnJpL8bc/YlqfzIGy98j42WWYLI1n6uv/Oovw2pZ1rypW44Fw5sT/48yJ/3fM/JteHcE77mze+ezi1p9AAyJrj1xqKpGcSFTl5zNz4UIsn3zKOlVFhFZHGl8ChQt1HRTwmy0suXAKKRPTMZlMlFeUU1ldiSIUOCyW7vUjI7nmzKH0SzlSrCiKjsXiQde8BAJH963liDa+Lfbmn0s//Gc3p6ypRlHg3tP6MmhS457l6MiplFa/gcv3P8xOw9A4x2OMmjQnlCcraybFJY+QasvhYEk4CeMnHtWuOnLL3Qxw2ikxB/jXvkJmpMc1On64MzuTqpAQYSPhwjuoWv9H1OJtLWrnuKhbWh9czNCdkYJG0mLyHlgGgKV3OFqFF0uik6Q7j1w91NGE9Uoj7JorObjkc6wLM8h5fz6Z11zdKI+j1kPAasN7xUsIUe/kTwjjowS3FZOd8IE/aVX7fz3zz+QUGEHr6uPT1D3IjcGquq50BTW4rYR+xVaVFpC0/mXM/Zv/ZSmRnAjEqCpKRSVFw0fg6JUajG5f54LB+Pa4azFVu4jduJHrJp5L2plnHlHPm3M/JxAcix0c6eeBSyZgb2LllN/vIRBIxmLZj81eiK631Flo811IBzYZ3tV/Om8yYdFHLmHulTmOvAM/RxM1BHgHgMLCD4B6QbN6zV/QdZXi8nQAThnYn50V1fSPCj9qT+ykj1YT6Gf0Zs9OaXlfitD8OPGgVucfO/PxUjfXT/bQSHoiqsOM6jBj6xtNoNwTfFYoxreA4hc3oLn8KGa10bHQfa0oRJzRm4jT275CqbY4F8+qamxEEtY/vck8/thUwvpd0uY2miMr62yyso7s2m0pOTvXkb7i72yTwSklJzgWi5UAEP7TWxh73tRm8+UuWYLr1l9AMytl9sybfdR2amtLWLPmGWpqP8PhcOHzDmfIkLlERzd974eoiwXXnF3by6gsrgUFrM6m70eL1caUmcaqq/zsK9m290Kc9sZ+d2prfwSyGDT752z68F2++KfhgyZ84mncM2tas+2/PX0IVx3IY4AbrhvY8jmHisnCBudETin6D8tfMDPhlhdRTR3UO36yCJonn3ySuXPncscdd/Dss89y4MABMjObXnXywQcfcPnllzd57Prrr+eNN95olDZz5kwWLlx4POZJ2hlzgoNAsRvv7goAvLsrqFp4oMm81sxIHEPiGjiqEiF3NzWrC/AddLXZjrIdG6h69yAmJZywG6KJGTj8iDx+iwl36gAcbW6l4xBBvw7SD43kREfoTU8KLtq0ib2PPwG6jiJ0tKpqYgHlGEt/NS3AylV/xu+vom5Rtd9fiaZ9h6r6URjLgP6/Ji1tcistPfJe27L0IEvf3QmKwjm3DMNiPfrrsCBnG/t2fYIurJhMjWMAOJ2noGmf0Nd8gNQ511JRU8OSzz/H5Ko+ap1nZsZj3ZmNswU+vRqfjsLwuz9l+QfzmLT7aVY8U8qQn71IZEzbfXw131ZQKOk9WNCsXr2al19+mREjRoTS0tLSyM9v3AX2yiuv8NRTT3HOOecctb5Zs2bx2muvhfZttm4eNOIkJP6GYQTK6ualNPDsG/o2psgqqoItKwqlGc+S3t3lTaa3hIJvvsG3CPTYalJuOB1HfOpRcndPV926boxFK3LZtuQEp25SMA3+lsv37aP0iisbuXjTVBV3WBi9MjKOWt+B7B9xu43ejYDfFoz7pqAwlpEjHiIxsf8xbSp2V/B9wTZibQ5WH9qNgz6Nju/bUMzy+XupKDR8ZU2+LA5rZAHbVu0gZ/shcjZaMds8OKK8hqN0VcFdaSEi40uis75HBXyBt9n65QJjSBkFk0+ghwkK8r/jzDNnAvDtwi9ado+Ltq14tFnMTJrzIJsXpjJi+VzEs8NYFX0WkaffyqCxZ7W+wubo6T00LpeLOXPm8I9//IPHH388lG4ymUhOTm6Ud/78+VxxxRWEh4cftU6bzXZEWUn3whxrxxx7dDfZ7U1tZTZ5S+dj1ZMQBSYs+1Pw9dtDn2uvwGw7Mm5THUKh296AWl0PTUd1EUsknYRoOHUM+N8FF9A7Nw9n8LjH4WD0+nUtrq+icAX2NSpO50DiUqagu2sJSxlM7GkXY7K27Nlz3qrVFHgiCZg00tzDuZZq3vpLLvH2AmrKvUfk//HD+iCYijmS+D6lWOwm3NUWdD8Ibw1RNSU4SqxYI8MJc/oR6HiUEmPdoiKo0h0U5wxjd7nGlxvmAmD12tleWsBVX/zniDYb6hefvS8ZuYvY8Md7DPnW4KAQSqOfZUKAgo5Z+DGJABb8RIgAPtVGtKhifOVC+HQha3bfyylX/a5F1+uY9HRBc9tttzF79mymT5/eSNAcztq1a9mwYQPPP/98s3nqWLJkCYmJicTExDB16lQef/xx4uLimszr9Xrxeuv/MKuqqprMJ+mmtOLXyM6PniJh95UABBwVBKbk0Hf2T1vwy0c55vh5VyFCzshkD43kRCd4MwdFenJBAU63m8qJE8AfwDas6TAHWiCAr6qK7X/7O4GlSwnPz0cATiFwYgb2UsNewIhbW6w8CmYFYQdhUsAEwgxKmJXk3z5C/KkXkbujkM9f2MwsUx6bMsMZv2UZVj9guwiHW6fa4w35l4pKy8MZqdNvTG9QrNjsDiJioohL7o3N4Wxka+XqPxL1+R+oSMxCybqGqFPuPeJ8vnzsTIpMUSjR5qDvGXDYa4m0VeEnKpSvqSfSe5v+j4mVm7A3mODsUsLZbQ8OpSuhJQeoCgjFhFdxoikW/IoFTTGzTxmJpljQUYlwH8TZv/l5O62mJ69yeu+991i3bh2rV68+Zt5//etfDB48mMmTjz7eOWvWLC655BIyMzPZu3cvv/nNbzjnnHNYvnw5piZ+xc6bN49HH320taZLugtKy8VG6uRL8O+G8GvjiR56WoubMHpouucNKIJDTrKHRnLCExTldS9c4XBSPXgIE19//ajFVl/9E6I2bw7NcasNC0O/6CKwWYkdNIj0MyejezyYHE5KNy2kdvMGdJ8bUVuL8GsQCCACOr6vN1D44MPEfnkua1avRfPZSSSD6dtgZ+/L2ZhpY2cvC2FeQY1NIcuTz4/nntu6U7Qaowv24jzsTYgZgEHqZgrDDnD/bQdCaUVPJHDAcirjz/m4Ud7qP2YQ4a44spKkoVCeDT4X4cLFaPdyI90SBllnwNXvtsrudqOuy6in9dDk5uZyxx13sGjRIuz2o3f/ud1u3nnnHR588MFj1nvVVVeFtocPH86IESPo27cvS5YsYdq0I5Xm3Llzufvuevf0VVVVpKWlteJMJF2KAro7YMR7UoJu01UFVIxfI0pwxZSqYFWi8VODJqrRNA+KoqIo5hO6h0aGPpD0FESw90Cpu9dUtcnJowGvl93vvUegphZ0HXNuDlW9exN9ww30u+JyTJYmJsUGfXMmnfoTOLVp1wo5w57A9fu3WHHaFN674h5Op/69NPCQn4GH/KyZ6uaLhF4ADI2tafU5OjLPA36Dqjf/PNEcUQy0RTdKUwRk5K1j83e/BwwvyULzM7KBmHHF9SO89ziYchckBL3w5m+GH/8Kugbb/gf+Gti5AOalwcir4dw/tfocjou6ScE9TdCsXbuWoqIixoypX7KmaRpLly7lueeew+v1hnpUPvroI2pra7nuuutabVRWVhbx8fHs2bOnSUFjs9nkpOETGNVmwr2llMK/rD125iA7dv8GT9H+RmmGsDGFPlC/fQpat70BhSajbUt6BnWCJiRiFILesxuT/dVXMO/J0AvHDFRPnMjAOa3zAVVHaWEZBzbtpLg0HeuwYaRs2kpSyS5W9+vFuD2N58lU+wVjTHu5McXBpf0ua3VbNev+RjTgje9NczHFa0wWIr21jW20hzPIVUbSt083WabYpJJQuoeD5z5Jr4QGIQVShsOl/6zfn/8L2PgOeKtg95dAZwua4A8vvXv2eDekVYJm2rRpbN68uVHaDTfcwKBBg7j//vsbDQ/961//4oILLiAhofXxdvLy8igtLSUlpf1jAUm6nphL+hN+Wm+jB0U3frnUbRshBDBCBQiB0AUuz3ay0u5AQUeIAELoIQd5gnpneXUO9HShYbY8TUR4867Ou5K6aNuKKoecJCc4QVGuBH88KChYt21nxfnnA8GeVxSc2dlYgKg3Xidu6FAUVcXqdDZZpe73c2DVJvYv+YHqHbsIeLwogQCqFsBZXU5UWSFRXhdOIAOodjjZ3qcvGwYMZl+SncCoKDZ9v5VTYjfxyq2PcZv1+O4zoRsCKeKm9c3m0UxWelccYueO+QwcZHgQz7pjK6U1hUavMkqoR1ZVVKzWcPK+vJeEde9RtvA+yodcSMaonxIR04TbE09F/XavzndkWj8puHv2eDekVYImIiKCYcMah38PCwsjLi6uUfqePXtYunQpCxYsaLKeQYMGMW/ePC6++GJcLhePPvool156KcnJyezdu5f77ruPfv36MXPmzDackqS7ozot2DJa7nfBSRuCUFr+CaaI1pfrBPTg3B7TMXxySCTdndCq7eC+ffZs3EuXEgp8qBvBD2tTUxHh4fQbMQKLo7F3qMrySg4tX0v+shUENm4gPmcXjoCXBNWEHpsKNju62YwwmfEkpuIdMwFP30ySBvcjffgAlgdUbtt2gF9HRXP3yDRsZhNXbf2ITeUDCODDfLzeqEIn2XyPaq/L3qTqzQtIf/8GVk5Zw4RpT2C1OImLbtovG0C/sx7hx6o8UnLXkvndM/i/e4bVoy9n3IX/bJxx4LmQ/QN4KqFwK6x4CSpzQQ8EPxqYbTD1QbAdfTVxm+jJk4Jbwquvvkrv3r2ZMWNGk8d37txJZWUlYCz13rRpE2+88QYVFRWkpqYyY8YMfv/738thJUnbUdRuO+SEFvw1Kz0FS050/EbkZ6zGs3rk/90N/3d3k1m9tW62LvqBg98tx3PgALbSIqKqSoiprcSEIMLiIK9Xf6pnXk7SlIkMO2sCI6KP/YKeDuQnj2qUdt/5l3LJKzl88OPXXHfm+cdzhsEo1UdfnJmQMhr/HVvY99JE+v/4Ekx74pjVRkSkMPmazwEoKNhA3sL/Y9z6D1ldU8SA818mKiI4QjHmWuPzRAoU74CF9zddYWQqnHpH686tJfT0ZdsNWbJkyRFpf/jDH/jDH/7QbBnRoOvK4XDw5ZdfHq8ZEkljGgoaIY4eDriTEbrxElBb6x1UIulmCF9wqbG1/m+5uryKNR8uQK+upqawGH9xMc7c/aTk78Om+Ym3hlGZ2AstJYXa0WPQ0noTMXoUAyeMYJyzfX7EjskaTrRtK/M3VHPVqV6sluOoV9cRyrG9TVjsUdQk9CfSVdzqJpKTR5F03SJWvX8p43d+A38exIY+4xh1/df1mWb+AfYsNnpjptwFjlgwW41emzcvgGME6mwzPXVSsETSlQgh8Pl81NbWUlNTQ21tLbW1tTidTmJiYvB4PJSVlVFaWkpZ1UjG/vhfMte8BgEPxPWDxMGQNAQShxjb0X2ajS3ToeehGYJG9tBITnQ0nw8zYLJZ0XWdZa/9B/PzfyG5tgKAalsYtc5IXEm9ybn4OtKnnc6YKWOwWDr+b/+hcxO592Mn97zzFn/76U3HUVPLh1rMBZupikigLbM/FVVl/NXzWff2eYzZs4xRB1az4d1LGHnVf4yVn6fcYHwOxxp0MLrmX1C6uz7dFmmIIHNzU5lbalidr6GTdMhJImkthw4dIjc3F5PJ1EiwNBQuNTU1aNqxb6qIiAhqtXTCExPJHJlq/KIp2QWF22DvN/WT7CxOY6lk4lCIzTT2zTawOIyHRPIII729CQoa1Sx7aCQnNprX6BWozD3EgvOfpu/ejeztO5L4h14ibdhAnGGd61m8IZdMmMqSHf/iq13HGdVeiJBH5KORk/09I6rL2DLltjY3VVG2FyrzQvuRB35ACA1FOcqrOioNUKA6Hza93/hYr7Ew6uo22wMEBY0ie2gkkpYghOCVV145Ij0jI4OwsDBiY2NxOp2EhYXhdDobbTscDmpqaqioqMBmsxEbG4vNZuP5559HZGbBqecc3hhUF0DRtuBnOxRtNfw8BLwQcDe4cRU4+zGY/KvjHrJK/nYDAHbdiyCTtHFv8pEiBY3kxEbPPwRA1KP3ozmjKbr3Mc694VLUbjLhPbtMMDC+8vgq0TVa4t68bPM7JAMDTm3a+V5LyF7/OmOK97PfZqdo8m0MmXgHqnqM13REEjxS0Thtx+fw3k/gi/vg60eMNNUE5/8dWuJFeMt/wVUEvcdB77FGWSloJJJjoygKM2bM4KuvviIyMhKv14vZbOaGG5roXm2C6OhooqOjj6izmcYgMsX49Gvmxtb84KkynFstehC2fGTc2H4PuArAVWjc7J5Ko1cndRSceqfhzbMZMvRqstUIPKoxlr/HmYHbHtOi85NIuivFBw4SDuQMHMvk118gIiayq00KUVZdzpaiRH592pHxm1pHy3polIAXj6oQ6Wj7fS1EAICkO7eT6TiOnqX0SUbPjd8NwTl7uArg35dAw0jhU+6Cs+bW7/9rBuStbixezHZjNVV5Yz9g3REpaCTdgsmTJ4dCZCxdupQVK1YcV32KopCdnc3XX3+N2WwmPT2drKyslhU2WSAszuid6XM6rH8LDvxgLIkMTzLETXgSOGIM4bPrC3jrIjjnTzD+501WuWDsAFbv20CJx8Oi4mrSqnYQPfIOoGlfHBLJicCe0y/gLk9fPvz1md1KzOi6zq/f+hBN9GJEei/25O9DqfNqrBj+cozfPEqo89U4Vh83SVGMeGuB2mpashg6YLbhCPrPanOPrmgnH1XOWLhrS+O0D66H0j11DUHhFvjuSeNzOAmDIfM0OLAMUIzebGv3dIPRECloJD2S/v37s2PHDrZs2UJNTQ07duzg1ltvbUNF043P0TjtbvjyN7DgHti3BPqfDX1Og9is0IMtLjqJWWMMv0rDFvyDUXv/TqWp7V3TEkl3QFfBa7Y1GXOvK1m5eyPf5xjhDm54uxwob3Ndt5gSmWsRlBbmEZfUu9l8AbMVC+BylxLujG9ja0GXDkoHXM8rXm+8v/Z12L/U2G7YIzPhl5A+vnHe3ycaIqmbIwWNpEcyffp0pk83hMjnn39OTk5OxzWmmuCcPxorp9a+Dp/dZTwgwpOhzxToc6ohcOL6GQKnbrWA9BQsOcEJRTzoPl4RABjXbySvXePF4/OEAjEIYUS7FkI0SBOh9LrEhnmEgNrvdPBA7hs3EXffwmbbzOo7C1a8xur5N3DWnE/bZnjwghZvX0Hetg2YLWYcYZEMnXk9SnvPSxp7vfHpQUhBI5G0F3UPCE8V5KyA7O/hwPewdb7hZTMsEdInklTpAUCVy7YlJzh18RrVbqZozCaVs4ZNbJe6VuxcDAfA6zz6YuyE/rPYPHgWZ2xfyIHdC+jTv3VRvaE+DtbSrxawpyYcgQpUkNxvA/H9xxy9cIfS/cMegBQ0km5IsxN6TxTskTBghvEB8FZDzkrI+RGyfySxYA1Vwokqe2gkJzh1TlJ7WqDVle/Nw5bzHQKFeNcBitVoJtz+2jHLDbrkNcqfTKNs5QttEjRVLvgLP6OqJpJ+jir2uI15Sf/94G1sprdD+erC3U06ZRQAZquDvqdedNK7gpCCRiLpaGwRjebifLFuP7/7YCU/nOjCTXLSU99D07V2tDfxuz/AqVVT6OhLTVgaxfEjWhRRzmJxUmRzYvW0fKm4x+/B4zN6bfeRQhUuxibB+DMuJX7pQlxuD9D4x092lUK1cJLzw75Q2vU2B30mntfidnsiUtBIuiWK4sfjqcZksmAyWXpUb4amWqkgotvNO5BIWoseHIrobkNOx40Q5MSf1qJemcMxA54W5vUH/Dz25GNYtXpvvjo6597yMCbVxKwhpzZb1lNRhK75qcrfx0sfLSbga2mrPRcpaCTdDsFyxox9lR9+fLU+TYAQKggFgYoQCggVgWKkU3fMhLEAUw2lBzRB7zQza9ctQ1FMDT7mw/ZNpCRfSmzs5E45T6UFzrokku5MXVg+Uw8TNMoxw1E2jxkFfwvnnAT0AFbNijfGy9DhQxFCkBSbhKkFP+Ds0YkA+N0uoH74rypnCzlbV6IFNDQtQExSbzInXdCmcwkh5BwaiaRNpKY4yMm1Ex52K0Jo6HoAIQLoIoDQNYQIIIQW+ugiAA32hdAQ6CACCDRUVSci3InNFhksq9fXoftCdVRXbwUhOlzQ1D0betg7QHISUj+HposN6QjacIPW1BYT5auloIVlzcGQBn0H9eWaqde0uj0wfOUAbNmwhoKc3Xy7143eaIiqiAkbVkEowKbhe2d5vpHHio/rLz6bxIHjMdvD2mRDd0EKGkm3w2y2YDLZGT/+V53a7rp1cxCdMJtfr3OeJQWN5ARHhObQ9CxFoyAQreyhEbpGzovjydACJE5s2bOrbgGEdhyBHx0xScSbqtldbmF3eRVWYGKmnVOvuIPcdYtY+M337CtpYKfRMtGqgoKgXA/nlfnfAd8xNLIGk6pw5oXXEJs5os02dRVS0Ei6H131pldUhOj4iLKhHho55CQ5wdF7WA/NjtVfoy16jEytgMJWPody9n/D4OoyVk26ifFDr2hRmTpBox9HnCSLM5LbH/xzk8eyTr2YX5568VHL56z+gl0bV5JXUkWNDw54Itn0xn9Js74etBFM+gXMqPK1KYp4ZyIFjaSb0vljtgpqp7SrBZeGmHva0hDJSUcg+LdsNfUMRVOx9RvGeLeyPXIy0eOubFXZmLgBVJhMDFz5Ksuyvydq/K0MG3HdURc0+P1GnCVPZddN6E0fdw7p4+qD+C598wnKK6sRwhL88SXY6E0n15QpBY1E0mq6agKaoiA6IaJsQBeoSs/z3SE5+fBpxv1it/SQVYiqCasSYGT1UtbvOQXGHSPsSQMiozOo/eVKsr/+HYP3fEv8x3eS88Vc/Bf8nb5DL2+yTEVFBQABf6A9rG8XTr/ut0ekbX7sMQhraziHzqNnyGpJj8LjycNuS+70do34KZ0haHTMPaWPXnJS4w8Y94uph4jzjClXhbY9rrJWl3fG9Wfwle8T98AhNk29n3Svm9rv5jWbPyoqCoCIpO4f+PFEQPbQSLodHs9BHI70Tm9XQe2cHhpNYDb1jBeA5OTGr/cMPzSVu38k6t/nhIZUdqhZxF32cJvr04SGfeVL1Kgq0ac1H4S2bg6NVbU2m0fScqSgkXQLSkq+pajoC0xmJzW1+wkPH9DpNgQC1ZgtUR3fjq4T0AW1vkBoYnDD94Gi0HT6YfU0DBFx5LHm80ok7UVdD82J/uflqiyn7s5/yXERj57ya24tdfNwTNvqy89ZxoCaStZN+SVjhl/dbD6lrmfrxHDz0u2RgkbSLTh06H3KK1Zgt/cCICJieKfbUFW9mYiIYR3ejqoo+AI6Qx76ssPbagktFU2HHz9CNNF8RUeWEzw4/nGSwwrx60c+hoRo+g3ZeCmtEszbdEuN3xFKfVqDA03W16jBo9d3eB1N2dKSck3ZFGuvH/L4X1kk31YePiwhmtg+urJQa07BXNl0jCHj30UJ/bsq1ItrRanbVxrlLwhOZj3tj99iMTcU2If93Rzl7wGO/nfWVMKxyjedp/5cwLgPFSVom8/MHdoYzjat41b3x0zdvJvknWb4xkR9GO5QjO7D9humGV+9fNUAjPn+Ba479A159jBURcWkmFAVNfRRUBjDGPI35PPi3hePfj7NqMbWpLe1Dl3v+J7r9kAKGkm3QAiN6OgJjBzxcpfZYDaHExnZ8ULqinFpJEXaQ0teRehZeNh+o5dcY0SDg0f8uBOH7zbIe8QxjnKsccLR7OEo9jQq12An2VtIgCSqrVcc8XJoLCoOe5E02FPqrtkRXkOa/smrNCkCmsvfsrx11irN1FG/TL9pm+r/3XVUfQux6uYj8tisExkbm1JXUfCr7oyVBjY0IwQF7HevwB5WwAXDM5vJY9gqGpQRNEgTRit16QDZpbV8timfi8f0QlWO4+/rqOWa/ztsomizbdXfV43Pw/iO5hvxN7Z69jLb/SkDEoIO5hq96JXD0g7rVm2QpgL+6oMUVRxg2qDLqLU60dHRdA1d6OhCRxPGtubTGOgYiMPsOOJcmzr/o6V3VN7Y2Fj69u3bZP7uhBQ0km6BLvyY1K71UqkoZsym8A5vJ9Ju4fyRqR3eTnfnhx97kZx0IX373tnVpnQJ1d4KNuZ9Qm7xd3hc24gUJUSbdKo1FZe1H31SZjM64yrCbPFMa4f2frPsNxyqOcRtZ/Vrh9rqee4n7VpdFzMcuKhdarIAvYCfHivj+HZpToIUNJJuQlnZsq42QdJJ5OfPZ9fuxwkEKjCZnF1tTqcghCCnfDNbD35KSfkqVO9+4tUaLArECKhUYiBsHM74szg18yfYze0v7hVFafZXuUTSE5CCRtKtqKregoIpGJ9ECQaNrNtWAZMxrquowXxGIEpFUYPLrg/LFzrW0mXSJ/jsxhOAqqqNmFQbffrNJTnpOIPmdVN8mo+t+d+wr+BLqqvWE6blE2sKYAMidTNuSyqByGlkJJ1N/+SpmE32DrdJVdTj8kgrkXR3pKCRdAtiYiZRXr6c1asv7MBWGoqbI78DgcpWCB9JWwkEqnE4M8hIv6mrTWk3XN5K1uTOJ69oCf7abcSKMsJNgkgBughDdwxGiZnE0N4XkBQ1uEtslIJG0tORgkbSLRg+7AU8nrxglGw96A9GD0bGbrBddxzdmKQotOAxEUzTgvlFg6jbxjEhtNA2QjMmJQbrqvM/k5x0fhdehROP7Jx/4nHnYbOn0CfjllC6z1dCbt5bCNHQA6rR+1VVvRGnM6uTLe0YtuR9ysZdfyRGz8emQryASjUOPexUIhPOYmiv83Ha4rraTMCYMCwFjaQnIwWNpFtgsURisQzpajMkLWTxN0eueCgp+QZVtYLQKa9YAYDd3gsFwy1+/aoWQUzMpM4ytUPYVbCYtdsfIlEUYNGseKKmk9nrAgYkT8dksnW1eU2iKip6J3jClki6CiloJBJJu2CzJVI3hykp6QIcjjT6Zt3d1Wa1KweKV7Bi61wS9BxMmhlXwlVcNPwhrN1UxDREVVQ5KVjSo5GCRiKRtJoxo/9Nael3AFS7tlNW9gPDh/29i63qOA6Wb2LZ5vuI8+/GopuoiLmAC0Y93iGrkToKOYdG0tORgkYikbSamJiJxMRMBCDv4DuUlf3QxRZ1DEVVu/l20z1Ee7dg11XKos5m9sgnCbdFd7VprUYOOUl6OlLQSCQSSZAdBYvZnLcAXXejeQ8S69uCUyiUhk3hnFF/IsaR1NUmthkF6YdG0rORgkYikZzU1PpdfLfrFfIL5tObQ8QqoAtwC5US+1hmjnqahPDOj/7e3sghJ0lPRwoaiURy0hHQAqzM/ohdOW8S7d9NpEknWtjxRJ/D9BFP4LBE9rgI5VLQSHo6UtBIJJIeTW3OIrw73gddp0x3sSLSjKl2HQlmP/G6CW/YSNL63MzUlLN7nIhpiKJIPzSSno0UNBKJpB3QWb3mUoTwI/QAevBb093063svKSmXdrpFNXnfEPjiLqIOHuDTiHD+Gzif0/ffSuyIV3FnZGFKuoBzh92IyWTtdNu6AhXZQyPp2UhBI5FIjovYmFNJSbkMUFAVM4pqQVUsKKqF7OyXqKre2rmCRtfxP9OfsOoSdGBSr178+SUrp4+7AoCyTTfCJtikBDjzxZNDzEDQDw1yUrCk5yIFjUQiOS6czgyGDP5jk8eKixehKh3/mMmt2sdHa+8hLSwZq9/LBdUlACx2Ojj/R4ip8dJ373wOpp6GxxEPQP+fdHxAyO6EnEMj6elIQSORSNqF2vXr8e7cidB10HTQNbTkcspKF7Ftwz6ErhGVNIbeZ/6q3dt+a81cJrARXBvx6fDD+BgA7Ap4+8ZSct6N9BnUH+XOXxNbpjNm1VpMppPr8ScFjaSnc3Ld0RKJpMPIf2AuvuxssFiMybUmE8r1tdQMKKPGmYtwCIrLfqA37S9oTkkaA4VrGDnua+IjMhsdO63B9qBF69u97RMFRZF+aCQ9GyloJBJJuyB0nbibfkbiPfc0eXzTO5dT5tiIrmto7kp8rhIc8ZmoJstxt21SjeGjgO497rp6KirSU7CkZyMFjUQiaRds/fvjWvZ9s4ImttdUirV1fPvNAFCNtLj8YYya878Wt+F3leEpzUboGkJoOBP7YwmPRVWt6ICmSUHTHHLISdLTkYJGIpG0mppVq8j71a/B7w+tmxG1tSgOR7Nlep/xC1gSoLZqP2ZrJPvtb+HXq1rV7orPT8OX4Ant25dHcuqc9aiKBR0I6J7mC5/kSD80kp6OFDQSiaTV+PYfQK+sJPGB+0NpiqJgzco6armGE4Lz//0/PJZi9i14hD4zf4fagkm6ms1H1MF0UjN/Qu7+1/HaygFQVaOsJgJtOZ2TApNikoJG0qORgkYikbQaoQXAYiHu+uvbXEe4kklpxCb229/CsaoPKZNaUpeCzZJK6pSfU5T9OV6lDABTUNDoutZme3o6MjilpKcjBY1EImk9AQ1FVY+ripE/+S+ekmx+2DSVHSWP416wn6xzH8VbdpAdn9yGJtwIRUMoAXR0hKKhJWrgMV7KiqIiFGNbVUwAaLr/+M6rB+PX/VjaYQK2RNJdkYJGIpG0GqFrKCbTcddjCovBeSiO2tRS9vM2Bf/+FHdCJaSDqcKM2W9HESqKrqIIlbCSBJIGXQSAggmhCnRNQxVGDCZdyB6a5nAH3DjMzc9xkkhOdI7rJ9aTTz6JoijceeedABw4cABFUZr8fPjhh83WI4TgoYceIiUlBYfDwfTp09m9e/fxmCaRSDoSTYN2EDQWRySTrlnFsIgniDjYC4seSVRhOgmHxnL6hduYcuVGTr1qPZN/spZJc1Yz8ZoVJJ5ihDBQVRtadIBvvxtA9YHfGmaVlh23TT0VKWgkPZ0299CsXr2al19+mREjRoTS0tLSyM/Pb5TvlVde4amnnuKcc85ptq4//elP/O1vf+ONN94gMzOTBx98kJkzZ7Jt2zbs9pPLPblEciIgNP24h5wakjTuKpLGXdWqMllnPox99auAoLwoF9PXa1Bvc7abTW1h66Z1VBaWtr6gEKADXjdubRs1kWUIoSMQwXkvAl2I4L7eRJpAoAe/MdKMitGFsb+pJhu7RQoaSc+lTYLG5XIxZ84c/vGPf/D444+H0k0mE8nJyY3yzp8/nyuuuILw8PAm6xJC8Oyzz/K73/2OCy+8EIA333yTpKQkPv74Y666qnUPOYlE0gno7dNDczw4k/vT7/x5AGxbsQDlqXXoXRx80fR+Mena8YgqBznWvtzZ951mcyhCoEDzH3FkWl258/3tJ0Ilku5GmwTNbbfdxuzZs5k+fXojQXM4a9euZcOGDTz//PPN5tm/fz8FBQVMnz49lBYVFcWECRNYvnx5k4LG6/Xi9dY70Kqqap0vC4lEcnwITQNT93k5qqoJAfjf2UXeZ8vY3iePem2jNPg/HK55FIwOEqVhYhNlhRAoDXIdEblagX5aCrtGlzBh9nRahaqgmBRqX/mIzEIn665ZB4qxMkkhOHQf/G4zS56Eta+3vbxE0s1ptaB57733WLduHatXrz5m3n/9618MHjyYyZMnN5unoKAAgKSkpEbpSUlJoWOHM2/ePB599NFWWC2RSNoVXaAo3UfQpPYbyfL+kQyyDgQgotiKOOzdHxIgx0gXDdIVGuofI0PdyipQUIRiCI9gYzlRhaQMHUhYeESbzsOrgaZqHbMaSVFB+qGR9GBaJWhyc3O54447WLRo0THntrjdbt555x0efPDB4zKwKebOncvdd98d2q+qqiItLa3d25FIJE0jusGQU0MiY5OZ+elK8ud9RKBcI7XUBIoCIkDi7ROw9klBNXcfe5tD6KAoHTRspihS0Eh6NK0SNGvXrqWoqIgxY8aE0jRNY+nSpTz33HN4vV5MwYfcRx99RG1tLdddd91R66ybc1NYWEhKSkoovbCwkFGjRjVZxmazYbPZWmO6RCJpTwLts2y7vYk6ZyQVH69DWHS0GgeqPZGSf+5HeH8g7Zkru9o8wAji6d+0Hr2m1hjrCk7wRYBWo4LaQaJD9tBIejitEjTTpk1j8+bNjdJuuOEGBg0axP333x8SM2AMN11wwQUkJCQctc7MzEySk5NZvHhxSMBUVVWxcuVKfvGLX7TGPIlE0sGIQICyt96m9B//wNa/X1ebcwTOUf1xjupP7p0fotrjQulCdB+HcoEdWyl6rza413DaLkAfHNH7OqZhxWRM5pZIeiitEjQREREMGzasUVpYWBhxcXGN0vfs2cPSpUtZsGBBk/UMGjSIefPmcfHFF4f82Dz++OP0798/tGw7NTWViy66qPVnJJFI2p1AeTkVH35E+TvvECgoIOqii4i+4vKuNqtZhGIBIRDuvUROH4B96PhOadf1/ny0ClfjiceibgG1ge4SQBZx0z1Y+qQbQ0ENPqbkcR1jnKKGbJFIeiId4in41VdfpXfv3syYMaPJ4zt37qSysjK0f99991FTU8PNN99MRUUFU6ZMYeHChdIHjUTSheheL56tW6levJjyf78Duk7k+ecRe+212AcN6mrzjopijjBWBjn7oVjM2Pv27vA29eoaKtbHoypWFNXX4MgR04qxWA9iGz0VNS6xw+2qb1wOOUl6NoroAdHKqqqqiIqKorKyksjIyK42RyI54an473wKn3gCvaYGNSyMmGuvIfa66zDHxna1aS0i587/oNoNsRBzZRJhowd0eJtafi75fz1A3IQcHBfP6fD2Ws2KF2Hx7+G3h7raEokkRHu+v2UsJ4lE0oiyN96gcN6TRF10ETHXXoN94EAU84n1qLAPtOHddRDF1gutoqZzGq0qNL5dTbub6HIUFWSsK0kPpvs4kpBIJF1O+bvvUjjvSeJu+hkp8/6AY+jQE07MACT+4jyiLx0M0K4hGo5KZNBLeuKQzmmvtcghJ0kP58R7UkkkJzgBn4bb5QcM77MNJ5AaA8Cifu6moD5fwzyigUM40bBsg/KN6hWN89SVF4Y9iqLg2bie/GfexDJsOLZB/XF9/gk0aqu+IVG33Dhkr6jbrG8k+PIM2S5Eg/MLpul1E2brly6HJtEeVj66Txa9z5x6lCvbGK2y2thQj768XOiCHUs24HLVNLim9baG8on6jbprF7JdGMuxa03FOLYewObaXX+dQmUMIqJjGTLjpy0+j3YhfxPsWigFjaRHIwWNRNLJ/PfpdRTnVHe1GU3iGzAE3b8T3vpHV5tyBGZN545WCBr3hlygN5akmKPmK92Zz/tL/3ec1gUxg1IpYLMbAOWwCcE6ClDO787yYbJY26fNlrDsaTjwA/Q5rfPalEg6GSloJJJOpqbSy8AJyQyYkFQfGyjojiTkkUQJHlFCu40yKHV5GrowCcb+aVyGxvF/FBqUMcqbrcaQjL/Wy/uPzEexZ3DR9YYTutBwTbBQKNyBUm+wqipN5wmlqyH762xRGhxrmLdh/fV5Vda88gKb9+048mIehUqhscO8F8t3RYjv6nuzRLAXSAQ/FaXlANw850YSeic3uE7KYduH2U4wvanr3IAf3v4D+/PLsZoEJTUCn1AxWay4CrNZ8tHLaJpmLNdWVaacfy3R6YNbdZ4tomg7jLkOzv1T+9ctkXQTpKCRSDoZXRPEpDhJHxJ37MydihOTzYJqMpM65fSuNqYRJpsNtZXrMXeJYjaaKok45KwfOaoTfdSLRItipn9YGkl9emGytK/3YyEE3+xxoxFGlqMKhxlGpscDsHvFAtYUW+llqUITUBCIJGPLD+0vaISA8gMQ1/0cIUok7YkUNBJJJ6MHdNTOmqjaSgSivtekG6FrGmorPUzoSi3hHjd3//GRjjGqBdSWF6Jh4oqJ6QyZdSMfPfsAS3dXsuyRuQQwEa74+Plv/0LJ7nU89+9PWLBqD4tW34dA4cKzxtHv9MvawYgy0HwQmXLsvBLJCYwUNBJJJ6NrAtXc9PBElyNEs0MnXYmuaYcHyQ5RnZ+Pp6rK6IRRFGOusgK1Pi9dHW2qusAIY1BQWIh16YfsrYB0p4c+KXEIFJLSRwIQkzGEWYO+xeMx4w8E+CEPqkvz28mIYD0RUtBIejZS0EgknYyuCUym7icaoG5FUfezTde0Jn1M1Bw8yLMvvoTWVCRtVSWxi/2G1l3Jpfu9sH8rYGfUqCEMndE4aK/JamfiVf8HQNG+zfzw5n+ITTxOAVKeDTkrYM/Xxr4UNJIejhQ0EkknIoRA1wWqqfsN6wBGD43a/QSNpmtNzqFxl5ejmU1MjI4mPTMLECgNlkonDe6ACbatIGnIZO6/Iwu/24XQA4BCZGr/o5ZxFecCEJ6Q1vaGs3+Ed68CTyWEJ8OMxyGqV9vrk0hOAKSgkUg6EV0zXrbddchJoNMte2g8HrQmRKCmG35V0gcPZsjMmZ1tVotwxCTjOPrK8UbUlBmehsMTM1vfWNEO+O/PoWATJI+AK9+GmIzW1yORnIBIQSORdCJawHgBq910yKm7zqHxOcMpT+vHP+fOBUCgIBQI6DrY7ajd0Oa2UlNRipkA1sj41hc+sMwQM2GJMPnXUsxITiq6ab+3RNIzCfXQdNNVTp7qbCry13e1GUdQmZCEPzwKkwCzEFh0HZumEabrDPR4SRs5sqtNbDdcNTWEKd62hWwYfAH0Hg81RfDfm9rfOImkGyN7aCSSTqRO0Ji66ZBTHY/d+whfjRmHYreEgh7oioJOsHcE0JX6bYGCriihfAIFBcG8tDguGDX8uO1RHHZM1S5ueHLecdfV3anx+Ag3B9pWWFENnzMA5/+t3WySSE4EpKCRSDqR2iof1XaFZVuLKIowNYrRpCigKiomFUwKmOq2VQUTCiaTgllRMCkKqgpmVcWk1H+rJrXeO7BqeAFW6rwJK/X7R2PYtOvI3riWHXFJ7EnuxfjyfFQEqqKgCmN2jYrh2FcRYAoKF1UBVRhtqEJBVeB/YQlsKinlgna4bpquNwoj0JOp8WqEmVt5rt8/Cxv+DWX7QffD6Gtg9LUdYp9E0l2RgkYi6UTKtQB/PT8aofohO6d9KxcCRWAIj9C3CO1P9Vv45wVH7y2ZefMVwBW4v9/Hp/4q3j//bByW1j8mdF3nf99twtJOTvo0Te+GU5U7hhqfINHeyrMt3gElu2DmH2Dk1eCM7RjjJJJujBQ0EkknYkt0IPYp3BsTy1Crrb4HRYAuBLoATQh0IdCEQAvtE9wXh+0b5TQabNelU1/28+pqVqt+Xlp+oFH5xm0GvxFsdLkhHAIBAZbWn6df0wCwtNPydF0/eQSNK6CSaW/lRe81Fja+C4PPl2JGctIiBY1E0gWMT4/htNiITmuvYMEWPnEGeMRT0XSGhr07gGKHxBqBzdI2QeL1+wGwtJNPG13Xu+Xqq/ZGCEGNZiHc0YLMmh+2fgz7lkDdBOIlT8JFL3SghRJJ90UKGomkE+mqWSAvzRrCEzV+zCqYVLV+Do6qGPNv2nnVlS9gTGo1q+0TfOBk6aHx+XwEMBFWux++uB9i+0JEMiBgwCww2+ozf/lbWPUyRGdARbaRNvSSLrFbIukOSEEjkXQiwUVOmDvZG6+qqiRE2I6dsZ3wBYecrO3VQyN6fg9NbW0tn332GQDhRWugogL8tSD0+kypYyBxMNgiDDEz9UE4/R7DoZ4tQnoDlpzUSEEjkXQih7w+ANyafoycJzaB4PmZ2qnnRxeixzjPq6yspKysjLKyMrxeL263m+LiYnbt2gXAWaP7kp58J4z9qbFiyVMFlblGXKbiHVC41ZgA3H8mjL/ZqDRxUNedkETSTZCCRiLpRHbUeAAo97fRz8gJghbsVTC1kwgRevf0YHw0Kisr2b9/P5mZmURFRQHG0NkzzzwTymO1WnE4HERGRjJjxgyGDx9OWFhYg1qsYA2DyBRIG9/JZyCRnFhIQSORdCLjooyXVV+nvYst6VjqYiy118ia3k1DMjSF1+vlu+++Y/ny5SE/QzabDavVih68LpMnT+ass87CYmnDEjKJRNIkimjo2esEpaqqiqioKCorK4mMjOxqcyQ9CCEE/33yESoLC0Iv1ICmUV5RgW5zoDnD0Z0RxKVlYDKZgsuwjXx12w3TanXB+mo3dpNq9F7ULdsmmKcuv1FBg/KgKKqxAqmJelEURIPtg/luDjp7I8LCaXiHi+C05MPv+sZ5GieKJvMZG+5aP0IHR5ilUbkav0apptEnP5skmzWULhrUFwqK3WDfyKHUfwczVerGuTnDwlCOsEk5ws4jzqXOo7FoeP51S9UJLnlvuK0Y+xjfOkqwUL17Pz/NT3i+IWwDZ51xGqNGjWLfvn3U1NTg8/nQNI0BAwaQnp7ebFmJ5GSiPd/fsodGIjkK3toaDmxYS0xKKpljxoMQ1NbWUrJ+PSZPDeaqMhSgdv82dIsN3e5Ec4YTn9mPxIxMFMV4Kdd9wgVkmCz4dN14PwqBoP44dXkRCL3hvtFLUScKjHSCL1lhCCAhCHg11lclkKMn4LS60RzB1+9hvRtH9HUoTWw2Smuid0SB2lIPKBAWaw+1U5czzOtBUR2U+fSQaGtYrXKYWY33DQ/Edd6NVaGjCcOTMgR7foQIVdawzsaIYHrwu4FYVBUFBQWzSQmu/lIwq4YnZovJ2Dab1FC6qtaJTYV9lQF+zPMdeU2ACwY4+dVFvyA21vAHM2rUqCbzSSSS9kUKGonkKHhrXABMvfEX9BkxOpR+bvC7pqqKratWcHDPTsoOHaTqUC5aQQ6ughxca6ykjBzLBTffTnhwDkVHofm9lP5xNC6fxhz9tzwwJY5bZk/o8GGayU8uxuUJsOneaR3aTndDCMHt767nm+1F/PeXkxmcInuGJZKuRgoaieQoBHxBB3HWppc8h0VGMn76DJg+I5Tmqqpk8/If2Pr9dxxau5JX7tjEdfOeIT4ltcPsLHlqPEmBgySq8NDpUZxz7sR2rV/Xdb7eXkRhlcfwJqwLNB1cnp49ubk5FEXh6ctGcumLP3LzW2v45LYpxIRZu9osieSkRgoaieQoBPzGsILZ2vKXVXhkFJNmnsukmeeyZ8tmPp73EP/5y5Pc8lTHRT92+stC24MHtu8SXq9fY9wfvqbK3bR4SY7sPP823QmH1cQr143lgud+4PZ31/HGDeMxt1OoB4lE0nqkoJFIjoZoeg5KS+k3bDixA4ZQsW93OxrVmIJV80kWVVSa44kKlBAdG9eu9a/PqaDKHWBKv3hunNInGAVcCc0tGZTSeSEcuhu9Y5w8/5MxXPOvlcz7YgcPnjekq02SSE5apKCRSJpABCfdBgKGx9vjnovSznNZ/AE/v5z/S2rc+ZxRtpFbAK9qBAAK+Lzt2lZdPKcJmbFMHZTUrnX3BCb1jeO35w7msc+2MW1wIpP7xne1SRLJSYkUNJIeha4LPnl2Pfl7KgmLsSF0Q5gY38FtIRB6vWhBb5guGi1h1gOHAPDU+NtuVAf4UNlbtJcVtSsAyIuM4MoqE96gsz6zPbxd24qwG4+Jour2FUo9iTkT03nss23MW7CDT381pavNkUhOSqSgkfQoFODgrgoABoxPMpbZqkpo+a+iNvDjoh6eRsgvTF2Z3avc7F4OAX/bBYnQ9ePqofHrfn638HcsKF7Q5PFb02dh3/462SSwu88FnNXOvpj+t8EQddWe4xB1PZy73t8AwNBUudpJIukqpKCR9CgUVSE6yUmf4XFMvLDvcdfnq81h9/Ljq0OI4xM0mwo2NSlmbD7BY29rZNR8xn5XElZcpPApO/7+KQBVv32CCde2Lfqyxx/g621F/HtlNsv3lZEYYePJS4a3+Rx6MqUuLws2FwDwh4vlNZJIugopaCQ9kvZyf11Vkg+At6bm+Iw5DkEzNnUsdw+7m4ywDJy6k5/s/Jywqo/pd0iQWQhgYl9mJqsnjGfq4sXEF5fgsoWTgwW2HyA1NpLU+ChMpuY92zZk2p+XsLe4/nwHp0Tywc0TsVvl46IpVu43Vpj9amo/1E6Ooi6RSOqRTyhJj6M9p6sEvLXGt69pr7CdxQ1jbwhtR+doFDlGssm0GfgAgA1Bb7TfTGvg4G7vWrbuXRva9WEhYI/mgV9eT2xkwwCI9dzx7vqQmPntuYO5dGwvYsNOzmXZLeWcYcmM7B3FP5btIzHSzlXj0rDI5dsSSacjBY2kZ9JOXTTmqHIAvnr5Mb77twhVa8y3OUw8NXD7T91xoLZUwRbjZ8EXEwk55xdKXcACjnTcrzT4GPsKDk477VWstjhu8Kn8e52ZAs94zr9oLDP6Ovn7jVPZtC+Pdz9eiLPmUKNzqFHDSOs/lOL927F6ijlQUNasoPl8S35o+6bTMk+YgJBdiaIovHnjBH7+1hoe/HgLhyrc3D+rfX0BSSSSYyMFjURyFGLT0jDbJ5MwYCcRsU5CMQpF/aophfqVUaJ+I7Ryyp/uQ40KoKrJwVpF408oCKQIhmUUjfLpejWKZR+PvfMlX+VEUqlZ6RsG/zcpljlnjQiJk9H90xl9780AVNV6eOwvLxIeqMQifFw6fTLfrg5nz6pvsFubj/Ac0OqV4F8W7eKsQQlGVKVg4Mi6b69fZ2dhNZvyKrGYVP506XBU9eTtlYhyWnjl2rGc+9dlvLhkL1sPVXH7Wf0Ynxnb1aZJJCcNMtq2pMfxziMrSB8Sx5Qr+h93Xdm71vHZXyo45/YYsoaNPnaBDmDtlkX87MMiKr1RjIzVuWvWMM4YkdWiso+99C56wc5GaTf98g56J8Y0mX9DbjmvLN3Hl1sK0FrxZPjglkny5Q34Ajqfbz7EA//ZjNWksvnRmV1tkkTSrZHRtiWSo9GGYZL8f2/HXewmEGsHAc4+kfQ+ozeqatwimq61t5UtplxzUOGN5vlLY5k9blKryt502Tl8t65PaD82KqJZMQMwKi2GF+aMRdd1Fm0vZGeBi7p5rkqDITWLSSUrIYy3lmezZFcxw3udmD8kdF2QW17LjoJq9pfUUOn2YzGpJEXaOHtIEokR9lbVZzWrfLgmD29AJ8LefE+YRCJpf6SgkfRIRCsn0WibS7ACpnwXKuDeXgpn9EZVjZVBogsFjR7sRO2b0vqQBqnx0Vw9o3UiCEBVVWYOTWHm0KPnu/O9DQDYLS1bQXU8aLrgx70l/LCnFF0IhqZGcsaABKKdLY+z5fZpLNicz6r9ZeworGZ3YTW1PuPfNtxmJibMgj8gKHZ5eeSTrcwensK1k/owoncUtV6NFftLWb2/jI15FZS4fPSOcXDJmF5MH5xEhN3CC0v28OPeUsKsJm4+PbOjLoVEImkCKWgkPQqfO0B5fg1pg5rvhdizLZuvF36L1+ehbuKtzeLHhoIpwopW7UMTgs+e2IKmBfDGaHy+uIivvv8PiqIwfvwpjBt3eSedESzduQ+Ix2Lufr/448KtVHsDBHSBxdRxE4gra/3c8Poq1uVUkBhhw24x8crSfagKnJIRy1mDEpk2OJH+ieFNTmSurPXzj2X7eHP5Aao8AYakRDIoJYLZw5MZmBzJoOQIEiNsobKVbj8frsnljeUH+HjDIVQF9KBG7hXtYFR6NKPTY9iQW8Fd72/EalKZNjiRL7YY/mg2PTITk1zCLZF0KlLQSHoUZfnGkmNbWNMv//+8+QWb967CjB2nOQoUgaJAwKJiVgGhoztUfAGBqqqoJhsmcxVhEQqqaiIvz8aOnZs7VdDUCYXc0nL6JnevX/19E8I5UFpLR07F+2FPCQ/9bwtlNT7e/flEJmbFoigKBZUevt1ZxOLtRfxt8W7+uHAHiRE2hvWKIjnKTny4DYuqUOXx897qXPyazjUTMrh2UgYZcU2v8qojymHhptOyuOHUTNZml7OnyIXdojKuTyxpsc5GeQ9WuPl04yG+3lZIUqSNRy8YKsWMRNIFSEEj6VGowZd/eHRj3yk11W7ee+1jcst2kh4/iJ/cdDF2R+v8q9TUlPHUU3+jsMDTbva2hGtOncJra7Yzf+0mzhw6plPbPhpfbM5n8Y4ioh0WrOb2GXKq8QbYcrCSvcU17C12sSmvgtUHyjklI4YXrxnLgKT6yN7JUXauHp/O1ePT8fg1VuwrZcW+MnYXVrMxt4ISlxdNN+JoXT42jV+c2ZeEiNb9m5tUhfGZsUed8Nwr2sGtZ/Tl1jOO3zO1RCJpO1LQSHoUH85bA4A93OihEUKwbOFali5fTEDxMrzvBC65dlab/Ks4HNEAREW333wRIQS71n/KzuVfUllUhKu4Fmu4GbPVhj3cSsGucgI1CqOTJ3PdlAvard2W2JVdWoumC3rF2LGZTQhhxHNam1NBQaWb38zfgsWk8NerRh13W5vyKnn1h/18vimfgC5QFciIC6NfYjjP/2QM5w5PPuq/md1i4syBiZw5MPG4bJFIJCcuUtBIehSOCAvuaj8rPt6LKTzA/Pc/ocKfT4QtgcuuvIaMfr3aXLeqqphMfty1xzdBWAjBx3+/nn0/lIbSzE4/zhgL9kgrimpG17zkb69F8xgv8Xsvn8TYrGHH1e6x2FNUzV8X7+arrYV4A3qLykzMiuOM4xARS3YW8dSXO9l6qIpe0Q7umTmQMwcmkBkfhq2den0kEsnJgfRDI+lxrPsymwVLPyRgcYXSsrKyQlG2q6qq0HWd2FhjLoaqqgghqKqqIjY2FlVVqdiyDs3jNnoF6qJzo1BSVoDV4iMtPTiPQjH8+NY59lXVYHTvBh/VpBKf2o+41IEU7NvOjuWLqDhg/JZIGmJm8GlnMXzK9VitUQAcyCvkv/MXUrvyCwRw/r0PMWrkkA69Zo99upVXfzgAQGKEjeG9osiIC8NiUih1eQnooOk6TquJAUkR9I5x4rCamJwVh9ncNod6X2zO5/Z31zOuTww3n57FGQMS5dwTieQkQ/qhkUiOQu9BMVi/jiFgcTFo0GDMZlPQq6/x6dXL6KWpqalB13U0TUMIQVxcHFVVVWheD5VbN6A4wlDMFkKLwIXAJAKofi/F+6pC3oGpdw5spOkg6j4C9ABs92UDi4MFzAyamcys617AZD5yyfE7f/0rtpxN+KPTufLeuQzpl9Zh10rTdJ76ciev/3gABVhwxxQGp0R1WHtgLL/+bNMh7v1oE+cOT+HZK0dJISORSI6b4xI0Tz75JHPnzuWOO+7g2WefDaUvX76c3/72t6xcuRKTycSoUaP48ssvcTgcTdbzyCOP8OijjzZKGzhwIDt27Dge8yQnKYkZkdz31M/aXN7tquaFbz/n/F/cQf8Jk9vFpvx9a6l1lQJ+MgZPx2xpenLqjtwSlNxtuOP78Ojzz7VL201xqMLNTW+sYVt+FWD4YHn0wqEdImaEEHy3q5jvd5ewKa+SLYcqqfVpnD8ylacvHyHFjEQiaRfaLGhWr17Nyy+/zIgRIxqlL1++nFmzZjF37lz+/ve/Yzab2bhx4zHjvAwdOpSvv/663jCz7DySdA11/nBb65zvaKRkjW1Rvt8+8SKTRQBfRMeFEViw+RB3vr8RX0BnVFo0l4zpxXWT+nRIWzXeAA/8dzOfbjxk+G9Ji+aOaf0ZmxHD2IwYGfxSIpG0G21SDS6Xizlz5vCPf/yDxx9/vNGxu+66i1//+tc88MADobSBAwce2xCzmeTk5GPmk0iOByEEbvcBVNWGzZaMohwptJVgj4HQWzYxtj15+O7refex3dhLC9u97mqPn5vfXMPyfWVYTAr/uG4sZw/puHtuxb5S7v1oI8XVXv5+9WjOG5EiBYxEIukw2iRobrvtNmbPns306dMbCZqioiJWrlzJnDlzmDx5Mnv37mXQoEE88cQTTJky5ah17t69m9TUVOx2O5MmTWLevHmkp6e3xTyJpElqavawYmV9sECzOYpTJ3+H2RzRTInOf/mOGJDGRyl9CM9Zx1NXXUD/sybQOzUeFNX4qCYURUVRVVBMwW8VRTUFJzCrxkTn0GRmNTSx+ZFPtlIj7IxNH8XrN4wnwtExnof9ms4Tn2/n9R8PMK5PDG/dOIE+8Ud3ZCeRSCTHS6sFzXvvvce6detYvXr1Ecf27dsHGHNinn76aUaNGsWbb77JtGnT2LJlC/37Nx39eMKECbz++usMHDiQ/Px8Hn30UU477TS2bNlCRMSRLxuv14vX6w3tV1VVtfY0JCchZrMxP8RmSyYu9nQO5X9AQeGn9O71k0b5umzhnxDU7FvHUCWPPEAVOlNz/kpkvveYRVvCB8H5x7sm/q/DxAzAGz8e4K0V2Tx43hBumNwHVc6RkUgknUCrBE1ubi533HEHixYtwm4/MgqtHuyiv+WWW7jhhhsAGD16NIsXL+bVV19l3rx5TdZ7zjnnhLZHjBjBhAkTyMjI4IMPPuBnPztycue8efOOmEQskRwLmy0Bmy2FlJRLiYmewKH8D7Bamp+r0hmjI9V5e8j7/mPyNq8lL6+UMo+hOoZlWDjt//6COSoZjx5A6Dq6rqHrGkLXEbqGrmkIoSM0DaEHEEKgC2Hch0KgCx1dF0YeASs3buaKbbfjdVV26Dl9saWA6YMT+dmU7hWmQSKR9GxaJWjWrl1LUVERY8bUu1/XNI2lS5fy3HPPsXPnTgCGDGnsM2Pw4MHk5OS0uJ3o6GgGDBjAnj17mjw+d+5c7r777tB+VVUVaWkdt7RV0nMQwo+qWHA40gGFktJviY2dgtkc3mk2uA7u5fvnHyI7pwSX3+gpiXUE6J2RzMQR4+k95UIiktv/79keFgHbQGj+dq+7IZF2MxW1HduGRCKRHE6rBM20adPYvHlzo7QbbriBQYMGcf/995OVlUVqampI2NSxa9euRr0wx8LlcrF3716uvfbaJo/bbDZsttbFZJFIAHQ9gKpacDh6M3jwk+zY8Vvy8z/Cbk8jPHwgdnsKNksmtmgvgUCgXdv2Vpay7E+3sW1fJRZVZ+iQ3iT3HUjvU8/DmdaxjvMATMFo3QlLH2Dr8l/w15hk1tl6ITBhuA1Ug04C67cVVKDOsWAwLbR92L6iogDFvkoSfZ0XvFMikUiglYImIiKCYcMau18PCwsjLi4ulH7vvffy8MMPM3LkSEaNGsUbb7zBjh07+Oijj0Jlpk2bxsUXX8ztt98OwD333MP5559PRkYGhw4d4uGHH8ZkMnH11Vcf7/lJJI0Qwo+iGsM6qSmXER01lsrKdbhcO3HV7KK8fAU1Nf9m8JU62WW/oOLL2Uye+XSb2/O7Ktj78fMU7dtBdnYRpTUmThmdwSnX34c9Kau9TqsRNa4CCou3Ixr8F/BUU1y+hz0xSSyzCdY4ksnwa6TYByEAXQiE0NAJDlEh0BEQ3BbohmNCgvtCoBMwtnUdgrlc6naww2WjpMduiUTSubS7s5c777wTj8fDXXfdRVlZGSNHjmTRokX07VsfiXbv3r2UlJSE9vPy8rj66qspLS0lISGBKVOmsGLFChISEtrbPMlJjq77UZT6P3unMxOns/Fcj1ULXyBg2gbhX+BmPhXFvyQ6oW3i46tHfsaOXC+RNo2Y6DAuuvRc+px703Gdw9HYufldbln9OKWmpv0+WaOsqAJujhzCL89/O9Rr0x78cPAHfvH1L7hx2I3cMnbmsQtIJBJJOyJjOUlOGoQQfPNtPwYNfIJeva5qMs+WJV9SqP+yUVqgIoPhY/5Aap+JrWpv7/9e5ON3Puf0SVmMu/Nvbba7pbzyv2v5e8UGMrFw3/BbCTM7Qk4CzRYH8XGDSIwbiGrqGKeVdy+5m5X5K1l21TLUJvz7SCQSyeHIWE4SSRsQwpgTo6rN90oMO3MmRR9ciNf6LYrqh0AMluhstu+bw8b1kSCUYFwnBYSCzdKHiIhhJCSPI3PI7FA9flcliz/6H6nRKqNueoxQ4KcOWjq1bv2/eKF8PdeG9eXOC9/Bau1cvy+7y3fzXe53XDHwCilmJBJJlyAFjeSkoU7QKMrRh1mmXvGXRvs/LLwTjycPqxqMPIkARaDrATTrJqpZT3XBW+wr+HWjckkznJyxvQjL0xmhNB0FTVHRFRM6CrqioikmBAqaYkJXVISiGunUbwvFhGhwTFdMCFR0VeULk4+3w9yMVR3cecHbnS5mAL7J+QZd6Px6zK+PnVkikUg6ACloJCcNuu4nmwxKSkuJ8C4PdZbooj5cdlCuBKe4GmkMvNQ43KAugUABdC2Aq/oQpWUbCaASrW+lr2k7ADEmM9unPxKsD4SuGeV0DaFrKMLwI4Ouo4iAMQFX11GEhiJ00LVgyG4jvxB6qJwqdLx6gNcD+1lvrmKkkspzV3yI1dac1+OOZXLqZJ7b8Bzf5nzLuVnndokNEonk5EYKGslJQ7Wu8BvlL1CE8Wk3YkE1VvnFKiU8ErGACVk/IWPqKe3ZSCPWlmbzq8V34HNXM33Q3fxl3E+PGQC2I/BqXraVbmN90XoADtUc6nQbJBKJBKSgkZxE1AjDd9ETmeGcGmVFYERrUhSCPlfA8LlC0LcKdZ5ZqI/rFAxcqRi9LiYUCnwBLt9chFco3NtvCFekT+/Q8/jwwEoeXXYniurg0TP/waUZLYvk3Z7U+mt5fMXjLDywEL/ux2F2cFqv05idOfvYhSUSiaQDkIJGctKQ7TZiIg2MSmJQTPsMzWS7vVy1bideofDsoDSuSolrl3qb4x87v+GvK+/D7ujDR+e8RJ/w+A5trymEEDz4w4MsO7iMX4/+NeNTxjMgZgBmVT5OJBJJ1yGfQJKThq9KjCCml23YS6bDioqxYslwJlc33dfYrpv3ogtx2NyZxpT4jInGzw9O59Lk5uNCtQd/3PQxb61/lIiIEXw6+3nibZ0XrqHaV82Gog3sLN/J8kPLWVWwij+f8Wdm9JnRaTZIJBLJ0ZCCRnLScGefJGo0jWiL8WevCxF03U9weAlURQkNLqkNhqLqJhDXHXNrOu/ll2FRFF4Yks55iTEdavt5n15PdtlaEmJP57NZfyHM0nmhP7Krsrnui+so85QRZgljSNwQnj3zWaZlTOs0GyQSieRYSEEjOWmItZj586D0466nzB/g0vV70IAvTxnA4HDH8Rt3FH6+9E9kl63FpDpYNPtvmFVTh7Z3OAv2L8Cn+fjkok/oE9kHpTPCkEskEkkrkYJGImklf9pfwCGvn0/H9GdAmL3D20sJN0RYZOQoKvzudh9qKqgp4O/r/06ppxS3301toJaAHiDSGkmULYqNxRsZkTCCzKjMY1cmkUgkXYQUNBJJK8h2e/n3oVLuy0zuFDED8NiYq4i2RfDq2oc5++M5vDnjeYbH9G6Xuss95dyy6BaK3cVMSJ5AnD0Oh9mBSTFR5aui0lvJxJSJ3DLylnZpTyKRSDoKKWgkklbwXE4R0RYTN/bu3NVFdw+dzaCo3tz/3R385POf8Nhpz3DxcS7X9mt+fvn1L6nwVvDOue/QJ6pP+xgrkUgkXYAUNBJJK9jh8nBWbARhprbNY/EEvBS6SzChYFIUVFRUVcGsGD5tTKopmK6gKGqD+SoKM5L7kXHO61z79V08+N3N7Bj5O+aOvLjN57I8fzlbSrfw1jlvSTEjkUhOeKSgkUhaQbWmEWlu+6TcK1Z8wSp/nxblVYSGih78CJTgthZ7J9byt3hnw0NUlC5k3pkvoLZyorDL5+KzvZ8RaY1kZMLINpyJRCKRdC+koJFIWkF1QCO8jb0zAOWahbHmA9zQKx4d0IRAA3RdoCHQBOgCNDC2Eeh1aXV5BfiTrmZLnpUFucuo/vxsnp7xIU7bsZ36+QJuPtzxJs9u+Aea0Ll33L1y1ZJEIukRSEEjkbSCGk0n3NT2mEkCSLFqXJY15fiNGT6N9zb+iT9ueIs5/5vBtQMvw2SyQ3C4ymmJYGo/I8aTruvM3/osz256g4qAjgJ8dPbTDEidefx2SCQSSTdAChqJpIUIIajWNCKaGHL6Knc1z2fnBWNwN89BPZHB5LebTVeNvI8+McP4v6VzeXjDO0ccvzjnCxKcSSzMXU6Ox8vw8Ah+1f9SwlzfUbz/cSloJBJJj0EKGslJiy4EaiuGW9y6MSQU1kQPzQeHctjqT2K4pfiodYyyFHJBcmqrbT0aE9PP5ZurplLhzkcIHdAJaG4e//Y65h/cjolt9LXp3NOnD2f2uRCPN5/Cynws9va1QyKRSLoSKWgkPZqH5lyNX7FgU3SuffJZIhWdaFVnTk45S2u8jfJ+O7Ifg2Obd1q3pboWgGXlLqbGRWJTldBqpzyfmVHWIj469ZKOO5mjYDPbSYrIxO8vZ/eeP1JU9AWXR7uYEQFh5jAcZidCFHIg+yUslhiSkmaTkX5zl9gqkUgkHYEUNJITEl0XVHn82C0mVEUhp6yGzLgwAl6NQ3sq8dX66TUwhjfTrgmVef3vKwF47as/MG7MFArPuJRamwK6QK/y8aN+iE1Z0SRHOTgl0knYYUNLQyOMEAfvF5TxfkEZYASlzHTayAtEMiOionNOvhlqavayc+dDVLu2k552IwkJ0wkL64+qWrvULolEIukMpKCRnJBkzV1AqqYSrymc7rFgFmAxqxCoj4fdb3QcFs2P32Q5onyYeSY3LnfhEZCtarwT4eORaPCrRi/MfRmx3J3VOO5TmMnE2klD2FRdy8ZqN89mF3Lb9pzg0RgGOGs66nSPSiBQw6bNt1Je/iMmUzgjhr9AbOypXWKLRCKRdBVS0Ei6PYWFn5NfMJ/oqFOI3pxM9ddfc5t7Fk61PuK0N8xERr8YsjeWAJC5/3NSly3mE82LevYjCKsTq7qBqIiteC+7hf5V9SJnged7zi0u5/OYK0JpetUyYM4RtvSyW+lltzIrPopLk2Lw6jpC97Jh7YVMi7mn4y5CM9TU7GXPnieprFzLsKF/JT5+enClk0QikZxcSEEj6fZs2fprY+O3y3DvMSbkOs805qqkD42jz/A41iw4QPbGEoQC5dEmTv3xe8yaF3dsFgn2BHLsFk41PQ067NH7Y6c+0OLB4u0cihzGn12v4Yj6ge1ujb01fdiTMYFN++0s3ZrDo6Z/ERUdB+f8ERQFXdeJqqlCCIHZVIznPwUc1O7BdpNC3CnnH/c5CyHQNBe17mzc7lzc7hzcwW2frwRNq8Xvr0DTXFitiQwZ8meSEs857nYlEonkREURQohjZ+veVFVVERUVRWVlJZGRkV1tjqSdKSn5luLir3j3i4+5+hUjbf2ALFx9BuBPPJ1PU1KYUK1w7ZmZ/O719Qz3mRAWlaQpyTyxdn+ongP2nwDwVcVd7PacTn/7d6yODrCmJpH1pn4APDDiVZ737wIguSoLvbaM0XllRHjj+VnSIXo9tJlat4+nnn4ac3U5CEGcy82Z3/8Yakcb4CThzjtImnpdk+ej635KSr+htmYvmlZLQHPh95Xj95fj85fj95fh95ej6/WTls3mCByOdBz2dKy2RMwmJ2ZzJE5nH2Jjz8BksjXZlkQikXRn2vP9LQWN5IRh9n9nk1NtzFm5fHEvwrxm3rvpJnLNfcjUcrnmozAAXox041JhfO9oLLUBfihzAWAmwBh/LWfUJAEQYa+mOHoZMX23813lSBYlXsDqnecwK92IZD2l+FTO2xJOdphKWWQyeA8AYCkrQvV5ULUAAMIZzezlaxvZar5+Ev0feLVRmtt9kKKiz8nLewuP9xAWSywmkxOzKQyLJQaLNdb4tsRgtcRgscbhcKTjdKRjNkdLj74SiaTHIQXNYUhB03Oo8dfg03zE2GOOOKbpGh6fh6rKclyVRez7/mMKM5bwRtmvGL2ziMy8wQD8M8JDuUmAgEgUTlFMpKEwCQt5QqfywAZSNAWzLx+HazUl58WQPmoTq5nAwMIothXsJ9+UyK8KruFd649H2FGHpaIYe3420QOHMufuuWyZ9yTWBQuw+P0AJH7+DtZEKyUl31JU/CUu1zZU1Upiwrmkp99ERMTgjrmIEolEcoIgBc1hSEHTcxj+xnAAzko7i6FxQ0l0JnJRv4vw57koen5Do7xx1w5hcy8bC559GoA8XxLr/BmUmQQ/c9mwWyuYcIYHqymRvQXhbMr34hwcy4w/XsuPDVYw2ZwRTOqzln7hpURWB9ji+SmO8MtJiM/mr/l70Os6RnQNGgaBFIJpp4xm6IRJxCYavT6uwkL2zz4Xs6uWvf0ysd6xF6vVRnzcWSQknE1c3BmYzREddv0kEonkRKI9399yUrCkWxFli6LSW8m3ud/ybe63AFhNVvzZ1ZxCr0Z58797hvFFf2c4Nj613cxIS19m1FiYrJshHCCJP+T8k2WR63gw3c2MLEH1oYuZe0MKmTmVDMyLoNdQlURvCWNFIVQb9foHfI4/cwvZIpuBgXM5tCaVmph8dIsF3VkvRqy6jntfNtWJKUTHJ6CqKuFJSXhfepn/zZ9PelYU55/yKJGRI+QcF4lEIulgZA+NpNtR66/llU2v8K8t/2o2z9D800ivGMwMTxE2ZRpJFhWneuQck4d6v8DqiC3cleDm6yonm73Gn/t9Sn/GFpyFZq8gIjGD77bv4oDfRarZRdaZ34bKl+eO43n1Zh4seJLKmih6k08vCtlSPoEcSxIFdgcBsxmb10tvIXD06cOWggLGjx/PrFmzUNW2B7KUSCSSno4ccjoMKWh6Jl7Nyyd7P2F1wWoqvZXoQsesmsl35TN++WUk+OKwmKzUuOqFzLlRZtSwrZjUfFTNhBb2DqilJHg1soWJvRYLByxmLig4MpDjSrZywLeLkad8gcsRTnlpMr/NepgBtTksWXNDkzaWDHiY3ConuxcvJi8tjarISPoWFTH7tNOJvvgiVLv0CSORSCTNIQXNYUhBc/IghKC8oJb5f15HXK9wygtqqK30AaAoOgPPux8cFU2WjanwkX7ASlwA3t02mwR7GuW+IsyKGZvJSdbSepGzfNJEcjIyePn0C7gu/xP+uPuZRnX53Sq1hTYK1kWh+4xeGNMVV+A8ezriw49wLVqEKSaGmDk/IfanP8UU3nyMKIlEIjlZkYLmMKSg6fkIIfj3wyuoLHI3So9McHDRXaOJiDV6QmprD5Cf/x/yC+bj9eYfUY+GynYeoSZ7Hb2Lc8g/cDHmyDz6Dv2AyPdspOw1YjS5r7oGi3cMJo+XRVWfcopzO4w6Gz0hE3deEd/nmQmUF3PFyAxEeTm1n6wkkJRG/PmzUc0KekkxNV8tRJSVoAiNzD8/QcIZ4zv+QkkkEskJhBQ0hyEFTc/H5w7wj7uWNkrrMyKes64ZhDOy6eCLXm8RNdvexLvtHSoo4FCKg+VM5jnl/xrlmyYWciP/AB3USnAFwnhxz80MrsljtT6AHJKatWvLQ1Nx7c7mPy8eOvoJCJ3hZ6Uz4cIsbA45F18ikUhACpojkIKm56MFdNYvykE1KcSmhBEeYyeuV1irnM35itaRo8QwZUslSVYzhT7DMZ5duHnC+yR9YzQURefK+bcdUfbPY8u58KIrUU1m/vjlDr7cmEt2hZcnRrjwVOi4N6WgqJA+MBpdCISmo2vC+OiCotzaUF1XPzyB2JSw478oEolEcoIjl21LTjpMZpVTzulzXHVYE8fQDyg4q6mj/6vfnP85l4zuxZ+vGNmkYHr5u330ibUzKc6Hz+cloBl5zBYVr1dHCBA6CKEY20Ihrlc41WUefO4ArnKPFDQSiUTSzkhBI5E0wcr9Zc32/phVhUNVPkrN4WypCUdVFcL6wDs/H0dGnBQqEolE0hVIQSORNEDTjRHYXjEOvtpagMWkYjYpmFUVgUDTBT+d3Ifcslo8AZ2lu4oBqKj1U+LySUEjkUgkXYQUNBJJAzRdEO20sGp/Gav2l7W4XFZ8GP0S5NJsiUQi6SqkoJFIGmA1q6z6zXTcPg2/rhPQBH5NJ6ALNN34tptN6EKgC9CFIC3GicNqOnblEolEIukwpKCRSA7DalaxmmXIAolEIjmRkE9tiUQikUgkJzxS0EgkEolEIjnhkYJGIpFIJBLJCY8UNBKJRCKRSE54pKCRSCQSiURywiMFjUQikUgkkhMeKWgkEolEIpGc8EhBI5FIJBKJ5ITnuATNk08+iaIo3HnnnY3Sly9fztSpUwkLCyMyMpLTTz8dt9t91Lqef/55+vTpg91uZ8KECaxatep4TJNIJBKJRHIS0WZBs3r1al5++WVGjBjRKH358uXMmjWLGTNmsGrVKlavXs3tt9+Oqjbf1Pvvv8/dd9/Nww8/zLp16xg5ciQzZ86kqKioreZJJBKJRCI5iVCEEKK1hVwuF2PGjOGFF17g8ccfZ9SoUTz77LMATJw4kbPPPpvf//73La5vwoQJjBs3jueeew4AXddJS0vjV7/6FQ888MAxy1dVVREVFUVlZSWRkZGtPR2JRCKRSCRdQHu+v9vUQ3Pbbbcxe/Zspk+f3ii9qKiIlStXkpiYyOTJk0lKSuKMM87g+++/b7Yun8/H2rVrG9WlqirTp09n+fLlTZbxer1UVVU1+kgkEolEIjl5abWgee+991i3bh3z5s074ti+ffsAeOSRR/j5z3/OwoULGTNmDNOmTWP37t1N1ldSUoKmaSQlJTVKT0pKoqCgoMky8+bNIyoqKvRJS0tr7WlIJBKJRCLpQbQq2nZubi533HEHixYtwm63H3Fc13UAbrnlFm644QYARo8ezeLFi3n11VebFEFtYe7cudx9992h/crKStLT02VPjUQikUgkJxB17+02zH45glYJmrVr11JUVMSYMWNCaZqmsXTpUp577jl27twJwJAhQxqVGzx4MDk5OU3WGR8fj8lkorCwsFF6YWEhycnJTZax2WzYbLbQft0FkT01EolEIpGceFRXVxMVFXVcdbRK0EybNo3Nmzc3SrvhhhsYNGgQ999/P1lZWaSmpoaETR27du3inHPOabJOq9XK2LFjWbx4MRdddBFg9PQsXryY22+/vUV2paamkpubS0REBIqitPh8qqqqSEtLIzc3V04mbgXyurUeec3ahrxurUdes9Yjr1nbaI/rJoSgurqa1NTU47anVYImIiKCYcOGNUoLCwsjLi4ulH7vvffy8MMPM3LkSEaNGsUbb7zBjh07+Oijj0Jlpk2bxsUXXxwSLHfffTc//elPOeWUUxg/fjzPPvssNTU1oWGrY6GqKr17927NqTQiMjJS/hG3AXndWo+8Zm1DXrfWI69Z65HXrG0c73U73p6ZOlolaFrCnXfeicfj4a677qKsrIyRI0eyaNEi+vbtG8qzd+9eSkpKQvtXXnklxcXFPPTQQxQUFDBq1CgWLlx4xERhiUQikUgkkqZokx+anoL0X9M25HVrPfKatQ153VqPvGatR16zttHdrttJHcvJZrPx8MMPN5pgLDk28rq1HnnN2oa8bq1HXrPWI69Z2+hu1+2k7qGRSCQSiUTSMzipe2gkEolEIpH0DKSgkUgkEolEcsIjBY1EIpFIJJITHiloJBKJRCKRnPD0KEHzxBNPMHnyZJxOJ9HR0Ucc37hxI1dffTVpaWk4HA4GDx7MX//61yPyLVmyhDFjxmCz2ejXrx+vv/76MdvetGkTp512Gna7nbS0NP70pz+1wxl1PMe6ZgC//vWvGTt2LDabjVGjRjWZ54MPPmDUqFE4nU4yMjJ46qmnjtl2nz59UBSl0efJJ588jrPpPLryupWVlTFnzhwiIyOJjo7mZz/7GS6X6zjOpnNor2v25ZdfMnHiRCIiIkhISODSSy/lwIEDR21b/q217bqdzH9rjzzyyBF/M4qiEBYWdtS2myrz3nvvtcNZdTxded1ycnKYPXs2TqeTxMRE7r33XgKBQKvs71GCxufzcfnll/OLX/yiyeNr164lMTGRt99+m61bt/Lb3/6WuXPn8txzz4Xy7N+/n9mzZ3PWWWexYcMG7rzzTm666Sa+/PLLZtutqqpixowZZGRksHbtWp566ikeeeQRXnnllXY/x/bmWNesjhtvvJErr7yyyWNffPEFc+bM4dZbb2XLli288MILPPPMM42ua3M89thj5Ofnhz6/+tWv2nQenU1XXrc5c+awdetWFi1axGeffcbSpUu5+eab23wunUV7XLP9+/dz4YUXMnXqVDZs2MCXX35JSUkJl1xyyTHbP5n/1tp63U7mv7V77rmn0d9Lfn4+Q4YM4fLLLz9m+6+99lqjcnVhfbo7XXXdNE1j9uzZ+Hw+fvzxR9544w1ef/11HnroodadgOiBvPbaayIqKqpFeX/5y1+Ks846K7R/3333iaFDhzbKc+WVV4qZM2c2W8cLL7wgYmJihNfrDaXdf//9YuDAga0zvAtpyTV7+OGHxciRI49Iv/rqq8Vll13WKO1vf/ub6N27t9B1vdn6MjIyxDPPPNMGa7sPnX3dtm3bJgCxevXqUNoXX3whFEURBw8ebLX9XcHxXLMPP/xQmM1moWlaKO2TTz4RiqIIn8/XbH0n+99aW67byf63djgbNmwQgFi6dOlR8wFi/vz5LTeyG9LZ123BggVCVVVRUFAQSnvxxRdFZGRko/fqsehRPTRtobKyktjY2ND+8uXLmT59eqM8M2fOZPny5c3WsXz5ck4//XSsVmujMjt37qS8vLz9je5meL1e7Pb/b+/uQpp64ziAf5s1M2VqubIsJC/yBSqH0RwVvUxmktRFXVgUS2QlKYUKFmYIhsMIwbAXL4a7KDEXJBQUNWx0UebEOAOtUaImRketKIXUdHv+F+Fwf9+2NTdP+31gFzvnPM95zpdH9vPsnJ2VTstCQkLQ39+PT58+zdu2srISa9asgUwmw/Xr190+xShknuTW0tKCiIgI7Nixw7EsLS0NIpEIra2tizrepSAlJQUikQh6vR42mw0/f/7E3bt3kZaWhhUrVszbNpDnmie5Bfpc+z+dToctW7Zgz549C26bl5eHqKgo7Ny5E3V1dWAB/HNvruTW0tKCrVu3Oj3uKD09HcPDw+js7HR5XwFd0Lx+/RqNjY1Op1B5np/xDKl169ZheHgYo6Ojs/YzV5updf+69PR0PHz4EM3NzbDb7fjw4QOqqqoAAF++fJmz3fnz53H//n2YTCacPXsWWq0WxcXFvhq233mSG8/zWLt2rdOy5cuXY/Xq1QEx1zZv3oznz5+jo1qllQAABX5JREFUpKQEwcHBiIiIQH9/PwwGw7ztAn2ueZJboM+16cbGxlBfX4+cnJwFty0vL4fBYIDRaMTRo0dx7tw51NTU+GCUS4+ruXnrM3TJFzSXLl2a9QKj6S+r1ep2vx0dHThy5AjKysqgUqkWYeT+s1iZzUWj0SA/Px+ZmZkQi8VITU1FVlYWgD9PQp9LYWEh9u3bh23btiE3NxdVVVWoqanB+Pi418bmDqHktpT4OjOe56HRaKBWq9HW1oaXL19CLBbj2LFj8/4XHOhzzdPclhJfZzZdU1MTRkZGoFarF9z2ypUr2LVrF2QyGS5evIji4mKXLvZfLELJzRu8/rRtbysqKsLp06fn3SYuLs6tPt+9ewelUokzZ86gtLTUaV10dDQGBgaclg0MDEAikSAkJGTW/uZqM7XO1xYjs/ksW7YM165dg1arBc/zkEqlaG5udns/crkck5OT6O3tRXx8vNfG5yoh5BYdHY3BwUGnZZOTk/j+/XtAzLVbt24hPDzc6S7Ce/fuYdOmTWhtbUVqaqpL/QTaXPMkt0Cfa9PpdDpkZmbOOIvgCrlcjqtXr2J8fNwvzzwSQm7R0dEwm81Oyzz5DF3yBY1UKoVUKvVaf52dnThw4ADUajUqKipmrFcoFHjy5InTMqPRCIVCMWefCoUCly9fxsTEhOP7aKPRiPj4eERGRnpt7K7ydmauCgoKQkxMDACgoaEBCoXCrXFwHAeRSDTjNLevCCE3hUKBHz9+oL29HSkpKQCAFy9ewG63Qy6X+2zMU3yd2a9fv2acvQoKCgIA2O12l/sJtLnmSW6BPtem9PT0wGQy4dGjRx615zgOkZGRfnuAoxByUygUqKiowODgoONv0mg0QiKRICkpyeV9CuO8tov6+vrAcRz6+vpgs9nAcRw4jnP8bkJHRwf2798PlUqFwsJC8DwPnucxNDTk6CM3Nxfd3d0oLi6G1WrF7du3YTAYUFBQ4Njm5s2bUCqVjvcnTpyAWCxGTk4OOjs70djYiBs3bqCwsNB3B++hhTIDgK6uLnAcB57nMTo66tjm9+/fAICvX7+itrYWVqsVHMfhwoULePDgAaqrqx19mM1mJCQk4PPnzwD+XARWXV0Ni8WC7u5u1NfXo6CgACdPnvRLEeguf+WWmJiIgwcPQqPRwGw249WrV8jPz0dWVhY2bNjg0wzc5Y3MDh06hLa2NpSXl+Pjx494+/YtsrOzERsbC5lMBoDmmrdyC/S5NqWurg7r169HRkbGjP00NTUhISHB8f7x48fQ6XTo6OhAV1cX7ty5A61WK5ifCPBXbiqVCklJSTh16hQsFguePXuG0tJS5OXluVcIunw/lACo1WoGYMbLZDIxxv7cZjbb+tjYWKd+TCYTS05OZmKxmMXFxTG9Xu+0vqysbEYbi8XCdu/ezYKDg1lMTAyrrKxcvAP1ooUyY4yxvXv3zrpNT08PY4yxoaEhlpqaykJDQ9mqVauYUqlkb968cdqPyWRyatPe3s7kcjkLDw9nK1euZImJiUyr1bKxsTEfHfnf8VdujDH27ds3dvz4cRYWFsYkEgnLzs5mIyMjPjjqv+ONzBhjrKGhgclkMhYaGsqkUik7fPgwe//+vWM9zTXv5MYYzTWbzcY2btzISkpKZt2PXq9n0z9Gnz59ypKTk1lYWBgLDQ1l27dvZ7W1tU63yy9l/sqNMcZ6e3tZRkYGCwkJYVFRUayoqIhNTEy4Nf5ljAnkijBCCCGEkDn8U185EUIIISQwUUFDCCGEEMGjgoYQQgghgkcFDSGEEEIEjwoaQgghhAgeFTSEEEIIETwqaAghhBAieFTQEEIIIUTwqKAhhBBCiOBRQUMIIYQQwaOChhBCCCGCRwUNIYQQQgTvP6vVeUCq2gdRAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "example HD 4734\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "example HD 6734\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "t = 734\n",
    "for tt in [t, t+2000, t+4000, t+6000]:\n",
    "    print(\"example HD\",tt)\n",
    "    for u in HDunitList[tt]:\n",
    "        plotPoly(unitGeom[u])\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "1ee72cf0-618e-411f-aa37-518ac2c679ce",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "#optional intermediate save\n",
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"mostlyPatched.csv\" #\"contigUnpatchedB.csv\"\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "77c07848-50c2-4fe9-8841-768b02bf4ac4",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "default use threshold for moving on to next overused unit is 1.18\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter updated stopMaxUse value 1.04\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "there are currently 1935 units out of 7070 with usage above 1.04\n",
      "maxExchangePop is currently 0.05 fraction of avgDistrictPop\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "Enter updated maxExchangePop fraction 0.05\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "this block reduces overuse, with exchanges up to 38526\n",
      "current avg and SD of unit usage are 1.00035 0.18274 . Now trying to reduce up to 1935 units' overusage\n",
      "starting to reduce usage for unit 1147 with usage 2.01844 . Total units tried = 1\n",
      "try to drop unit 1147 from 103 th HD.  usage down to 2.018435148568846\n",
      "try to drop unit 1147 from 206 th HD.  usage down to 2.018435148568846\n",
      "try to drop unit 1147 from 309 th HD.  usage down to 2.018435148568846\n",
      "try to drop unit 1147 from 412 th HD.  usage down to 2.018435148568846\n",
      "try to drop unit 1147 from 515 th HD.  usage down to 2.014666304836865\n",
      "all done trying to reduce usage of unit 1147 final usage = 2.01467 38 sec elapsed 2 0 successful, failed patches, couldn't start= 514\n",
      "current avg and SD of usage are 1.00035 0.18262\n",
      "starting to reduce usage for unit 992 with usage 2.0318 . Total units tried = 2\n",
      "try to drop unit 992 from 124 th HD.  usage down to 1.8666794890413265\n",
      "try to drop unit 992 from 248 th HD.  usage down to 1.706216814156401\n",
      "try to drop unit 992 from 372 th HD.  usage down to 1.5526013911757237\n",
      "try to drop unit 992 from 496 th HD.  usage down to 1.4207580489277318\n",
      "try to drop unit 992 from 620 th HD.  usage down to 1.3076213573521784\n",
      "all done trying to reduce usage of unit 992 final usage = 1.30564 8924 sec elapsed 522 0 successful, failed patches, couldn't start= 99\n",
      "current avg and SD of usage are 1.00029 0.1664\n",
      "starting to reduce usage for unit 1137 with usage 1.89677 . Total units tried = 3\n",
      "try to drop unit 1137 from 151 th HD.  usage down to 1.7914220130323357\n",
      "try to drop unit 1137 from 302 th HD.  usage down to 1.737734159208445\n",
      "try to drop unit 1137 from 453 th HD.  usage down to 1.7032642936707723\n",
      "try to drop unit 1137 from 604 th HD.  usage down to 1.685335031908614\n",
      "try to drop unit 1137 from 755 th HD.  usage down to 1.685335031908614\n",
      "all done trying to reduce usage of unit 1137 final usage = 1.68534 10733 sec elapsed 153 0 successful, failed patches, couldn't start= 605\n",
      "current avg and SD of usage are 1.00029 0.16367\n",
      "starting to reduce usage for unit 1145 with usage 1.74327 . Total units tried = 4\n",
      "try to drop unit 1145 from 95 th HD.  usage down to 1.7155870110382454\n",
      "try to drop unit 1145 from 190 th HD.  usage down to 1.7113431684061597\n",
      "try to drop unit 1145 from 285 th HD.  usage down to 1.7007504333715775\n",
      "try to drop unit 1145 from 380 th HD.  usage down to 1.6795961107712718\n",
      "try to drop unit 1145 from 475 th HD.  usage down to 1.6552582572913002\n",
      "all done trying to reduce usage of unit 1145 final usage = 1.65526 12326 sec elapsed 63 0 successful, failed patches, couldn't start= 416\n",
      "current avg and SD of usage are 1.00028 0.16208\n",
      "starting to reduce usage for unit 1784 with usage 1.7281 . Total units tried = 5\n",
      "try to drop unit 1784 from 101 th HD.  usage down to 1.5487897196740694\n",
      "try to drop unit 1784 from 202 th HD.  usage down to 1.394291785075704\n",
      "try to drop unit 1784 from 303 th HD.  usage down to 1.28738328946081\n",
      "try to drop unit 1784 from 404 th HD.  usage down to 1.195612463711562\n",
      "try to drop unit 1784 from 505 th HD.  usage down to 1.0995017573012447\n",
      "all done trying to reduce usage of unit 1784 final usage = 1.09615 15758 sec elapsed 348 0 successful, failed patches, couldn't start= 160\n",
      "current avg and SD of usage are 1.00029 0.1532\n",
      "starting to reduce usage for unit 1141 with usage 1.67972 . Total units tried = 6\n",
      "try to drop unit 1141 from 73 th HD.  usage down to 1.6765319785222308\n",
      "try to drop unit 1141 from 146 th HD.  usage down to 1.6657588477305048\n",
      "try to drop unit 1141 from 219 th HD.  usage down to 1.6506017106968285\n",
      "try to drop unit 1141 from 292 th HD.  usage down to 1.6384853453105428\n",
      "try to drop unit 1141 from 365 th HD.  usage down to 1.6300872090193421\n",
      "all done trying to reduce usage of unit 1141 final usage = 1.62939 16226 sec elapsed 43 0 successful, failed patches, couldn't start= 324\n",
      "current avg and SD of usage are 1.00029 0.15198\n",
      "starting to reduce usage for unit 1150 with usage 1.62395 . Total units tried = 7\n",
      "try to drop unit 1150 from 57 th HD.  usage down to 1.6040115863392568\n",
      "try to drop unit 1150 from 114 th HD.  usage down to 1.6004659661341023\n",
      "try to drop unit 1150 from 171 th HD.  usage down to 1.5980792913327553\n",
      "try to drop unit 1150 from 228 th HD.  usage down to 1.5916719974261477\n",
      "try to drop unit 1150 from 285 th HD.  usage down to 1.5871815706655938\n",
      "all done trying to reduce usage of unit 1150 final usage = 1.58718 16476 sec elapsed 24 0 successful, failed patches, couldn't start= 265\n",
      "current avg and SD of usage are 1.00028 0.15138\n",
      "starting to reduce usage for unit 1076 with usage 1.60365 . Total units tried = 8\n",
      "try to drop unit 1076 from 31 th HD.  usage down to 1.564327115390052\n",
      "try to drop unit 1076 from 62 th HD.  usage down to 1.5225337012368287\n",
      "try to drop unit 1076 from 93 th HD.  usage down to 1.4781537493570724\n",
      "try to drop unit 1076 from 124 th HD.  usage down to 1.4343850665536846\n",
      "try to drop unit 1076 from 155 th HD.  usage down to 1.392611119568497\n",
      "all done trying to reduce usage of unit 1076 final usage = 1.38723 19831 sec elapsed 156 0 successful, failed patches, couldn't start= 2\n",
      "current avg and SD of usage are 1.00027 0.14702\n",
      "starting to reduce usage for unit 1522 with usage 1.5456 . Total units tried = 9\n",
      "try to drop unit 1522 from 78 th HD.  usage down to 1.4331404656105393\n",
      "try to drop unit 1522 from 156 th HD.  usage down to 1.31128378056557\n",
      "try to drop unit 1522 from 234 th HD.  usage down to 1.2260798795008352\n",
      "try to drop unit 1522 from 312 th HD.  usage down to 1.1460179064202947\n",
      "try to drop unit 1522 from 390 th HD.  usage down to 1.0756843261134876\n",
      "all done trying to reduce usage of unit 1522 final usage = 1.07468 20982 sec elapsed 266 4 successful, failed patches, couldn't start= 122\n",
      "current avg and SD of usage are 1.00028 0.1382\n",
      "starting to reduce usage for unit 1112 with usage 1.52146 . Total units tried = 10\n",
      "try to drop unit 1112 from 28 th HD.  usage down to 1.4905595266415184\n",
      "try to drop unit 1112 from 56 th HD.  usage down to 1.4642243417209437\n",
      "try to drop unit 1112 from 84 th HD.  usage down to 1.4336024863986019\n",
      "try to drop unit 1112 from 112 th HD.  usage down to 1.4127570428644873\n",
      "try to drop unit 1112 from 140 th HD.  usage down to 1.3808243982276494\n",
      "all done trying to reduce usage of unit 1112 final usage = 1.37612 22955 sec elapsed 109 18 successful, failed patches, couldn't start= 18\n",
      "current avg and SD of usage are 1.00028 0.13513\n",
      "starting to reduce usage for unit 1140 with usage 1.5032 . Total units tried = 11\n",
      "try to drop unit 1140 from 54 th HD.  usage down to 1.4573459423478252\n",
      "try to drop unit 1140 from 108 th HD.  usage down to 1.3991261318049049\n",
      "try to drop unit 1140 from 162 th HD.  usage down to 1.3275349724429073\n",
      "try to drop unit 1140 from 216 th HD.  usage down to 1.254931520342984\n",
      "try to drop unit 1140 from 270 th HD.  usage down to 1.18523127190299\n",
      "all done trying to reduce usage of unit 1140 final usage = 1.1836 28767 sec elapsed 246 0 successful, failed patches, couldn't start= 24\n",
      "current avg and SD of usage are 1.00027 0.12942\n",
      "starting to reduce usage for unit 899 with usage 1.39608 . Total units tried = 12\n",
      "try to drop unit 899 from 31 th HD.  usage down to 1.3581762949332978\n",
      "try to drop unit 899 from 62 th HD.  usage down to 1.3180622484760744\n",
      "try to drop unit 899 from 93 th HD.  usage down to 1.285868743787538\n",
      "try to drop unit 899 from 124 th HD.  usage down to 1.2400313499274116\n",
      "try to drop unit 899 from 155 th HD.  usage down to 1.200697288002869\n",
      "all done trying to reduce usage of unit 899 final usage = 1.2007 33097 sec elapsed 139 9 successful, failed patches, couldn't start= 9\n",
      "current avg and SD of usage are 1.00026 0.1258\n",
      "starting to reduce usage for unit 1476 with usage 1.38779 . Total units tried = 13\n",
      "try to drop unit 1476 from 35 th HD.  usage down to 1.3877884531401339\n",
      "try to drop unit 1476 from 70 th HD.  usage down to 1.38237009136981\n",
      "try to drop unit 1476 from 105 th HD.  usage down to 1.381448645416054\n",
      "try to drop unit 1476 from 140 th HD.  usage down to 1.3811021298249935\n",
      "try to drop unit 1476 from 175 th HD.  usage down to 1.3770231092156229\n",
      "all done trying to reduce usage of unit 1476 final usage = 1.37702 33145 sec elapsed 9 0 successful, failed patches, couldn't start= 168\n",
      "current avg and SD of usage are 1.00026 0.12562\n",
      "starting to reduce usage for unit 1499 with usage 1.38564 . Total units tried = 14\n",
      "try to drop unit 1499 from 66 th HD.  usage down to 1.38564187341124\n",
      "try to drop unit 1499 from 132 th HD.  usage down to 1.38564187341124\n",
      "try to drop unit 1499 from 198 th HD.  usage down to 1.38564187341124\n",
      "try to drop unit 1499 from 264 th HD.  usage down to 1.38429863881668\n",
      "try to drop unit 1499 from 330 th HD.  usage down to 1.38429863881668\n",
      "all done trying to reduce usage of unit 1499 final usage = 1.3843 33167 sec elapsed 3 0 successful, failed patches, couldn't start= 330\n",
      "current avg and SD of usage are 1.00026 0.12559\n",
      "starting to reduce usage for unit 1466 with usage 1.38275 . Total units tried = 15\n",
      "try to drop unit 1466 from 105 th HD.  usage down to 1.2650829995687414\n",
      "try to drop unit 1466 from 210 th HD.  usage down to 1.158563847314598\n",
      "try to drop unit 1466 from 315 th HD.  usage down to 1.0932242445149076\n",
      "all done trying to reduce usage of unit 1466 final usage = 1.03809 35814 sec elapsed 192 22 successful, failed patches, couldn't start= 196\n",
      "current avg and SD of usage are 1.00026 0.12014\n",
      "starting to reduce usage for unit 2700 with usage 1.38179 . Total units tried = 16\n",
      "try to drop unit 2700 from 78 th HD.  usage down to 1.2844242799191825\n",
      "try to drop unit 2700 from 156 th HD.  usage down to 1.1719377917560607\n",
      "try to drop unit 2700 from 234 th HD.  usage down to 1.0743125396724622\n",
      "all done trying to reduce usage of unit 2700 final usage = 1.03903 40252 sec elapsed 205 0 successful, failed patches, couldn't start= 55\n",
      "current avg and SD of usage are 1.00023 0.11601\n",
      "starting to reduce usage for unit 1069 with usage 1.35304 . Total units tried = 17\n",
      "try to drop unit 1069 from 46 th HD.  usage down to 1.3016877645344644\n",
      "try to drop unit 1069 from 92 th HD.  usage down to 1.2614244697889507\n",
      "try to drop unit 1069 from 138 th HD.  usage down to 1.2142918603487531\n",
      "try to drop unit 1069 from 184 th HD.  usage down to 1.1705582184478327\n",
      "try to drop unit 1069 from 230 th HD.  usage down to 1.130984061450836\n",
      "all done trying to reduce usage of unit 1069 final usage = 1.12708 47048 sec elapsed 180 0 successful, failed patches, couldn't start= 53\n",
      "current avg and SD of usage are 1.00023 0.11253\n",
      "starting to reduce usage for unit 1139 with usage 1.68534 . Total units tried = 18\n",
      "try to drop unit 1139 from 98 th HD.  usage down to 1.5713742302194873\n",
      "try to drop unit 1139 from 196 th HD.  usage down to 1.4481301849990769\n",
      "try to drop unit 1139 from 294 th HD.  usage down to 1.331119526984149\n",
      "try to drop unit 1139 from 392 th HD.  usage down to 1.2061545841092574\n",
      "try to drop unit 1139 from 490 th HD.  usage down to 1.0883042422463283\n",
      "all done trying to reduce usage of unit 1139 final usage = 1.08429 54582 sec elapsed 456 0 successful, failed patches, couldn't start= 36\n",
      "current avg and SD of usage are 1.00023 0.10625\n",
      "starting to reduce usage for unit 6952 with usage 1.30968 . Total units tried = 19\n",
      "try to drop unit 6952 from 54 th HD.  usage down to 1.2822660198895122\n",
      "try to drop unit 6952 from 108 th HD.  usage down to 1.2529964838401464\n",
      "try to drop unit 6952 from 162 th HD.  usage down to 1.2238463464214073\n",
      "try to drop unit 6952 from 216 th HD.  usage down to 1.1735873097944531\n",
      "try to drop unit 6952 from 270 th HD.  usage down to 1.1274773755817993\n",
      "all done trying to reduce usage of unit 6952 final usage = 1.12748 55465 sec elapsed 159 0 successful, failed patches, couldn't start= 112\n",
      "current avg and SD of usage are 1.00022 0.10382\n",
      "starting to reduce usage for unit 1542 with usage 1.30728 . Total units tried = 20\n",
      "try to drop unit 1542 from 39 th HD.  usage down to 1.30280647779101\n",
      "try to drop unit 1542 from 78 th HD.  usage down to 1.2954323145385607\n",
      "try to drop unit 1542 from 117 th HD.  usage down to 1.2954323145385607\n",
      "try to drop unit 1542 from 156 th HD.  usage down to 1.2935686576518104\n",
      "try to drop unit 1542 from 195 th HD.  usage down to 1.2879439439002944\n",
      "all done trying to reduce usage of unit 1542 final usage = 1.28794 55539 sec elapsed 12 1 successful, failed patches, couldn't start= 184\n",
      "current avg and SD of usage are 1.00022 0.10356\n",
      "starting to reduce usage for unit 0 with usage 1.30079 . Total units tried = 21\n",
      "try to drop unit 0 from 105 th HD.  usage down to 1.2593713324666675\n",
      "try to drop unit 0 from 210 th HD.  usage down to 1.216794040347146\n",
      "try to drop unit 0 from 315 th HD.  usage down to 1.141803913445865\n",
      "try to drop unit 0 from 420 th HD.  usage down to 1.089310045928252\n",
      "all done trying to reduce usage of unit 0 final usage = 1.03976 57534 sec elapsed 174 24 successful, failed patches, couldn't start= 285\n",
      "current avg and SD of usage are 1.0002 0.09985\n",
      "starting to reduce usage for unit 6978 with usage 1.25638 . Total units tried = 22\n",
      "try to drop unit 6978 from 48 th HD.  usage down to 1.2038847123161383\n",
      "try to drop unit 6978 from 96 th HD.  usage down to 1.1483799228087896\n",
      "try to drop unit 6978 from 144 th HD.  usage down to 1.0857657235342921\n",
      "all done trying to reduce usage of unit 6978 final usage = 1.03998 58312 sec elapsed 157 0 successful, failed patches, couldn't start= 18\n",
      "current avg and SD of usage are 1.00016 0.09771\n",
      "starting to reduce usage for unit 2071 with usage 1.25611 . Total units tried = 23\n",
      "try to drop unit 2071 from 28 th HD.  usage down to 1.224828789501636\n",
      "try to drop unit 2071 from 56 th HD.  usage down to 1.189785291412468\n",
      "try to drop unit 2071 from 84 th HD.  usage down to 1.1672137589790628\n",
      "try to drop unit 2071 from 112 th HD.  usage down to 1.142781165281315\n",
      "try to drop unit 2071 from 140 th HD.  usage down to 1.126587077096861\n",
      "all done trying to reduce usage of unit 2071 final usage = 1.12141 58688 sec elapsed 71 0 successful, failed patches, couldn't start= 74\n",
      "current avg and SD of usage are 1.00016 0.09613\n",
      "starting to reduce usage for unit 895 with usage 1.24595 . Total units tried = 24\n",
      "try to drop unit 895 from 55 th HD.  usage down to 1.198501391448288\n",
      "try to drop unit 895 from 110 th HD.  usage down to 1.1559344818183892\n",
      "try to drop unit 895 from 165 th HD.  usage down to 1.130156057903674\n",
      "try to drop unit 895 from 220 th HD.  usage down to 1.1162474152467732\n",
      "try to drop unit 895 from 275 th HD.  usage down to 1.1017573531711653\n",
      "all done trying to reduce usage of unit 895 final usage = 1.10006 60607 sec elapsed 104 0 successful, failed patches, couldn't start= 175\n",
      "current avg and SD of usage are 1.00017 0.09387\n",
      "starting to reduce usage for unit 249 with usage 1.22831 . Total units tried = 25\n",
      "try to drop unit 249 from 74 th HD.  usage down to 1.1254073667138056\n",
      "all done trying to reduce usage of unit 249 final usage = 1.03855 61503 sec elapsed 98 0 successful, failed patches, couldn't start= 38\n",
      "current avg and SD of usage are 1.00015 0.09162\n",
      "starting to reduce usage for unit 2689 with usage 1.21722 . Total units tried = 26\n",
      "try to drop unit 2689 from 47 th HD.  usage down to 1.1547755364145615\n",
      "try to drop unit 2689 from 94 th HD.  usage down to 1.1056702539466052\n",
      "try to drop unit 2689 from 141 th HD.  usage down to 1.045171486932139\n",
      "all done trying to reduce usage of unit 2689 final usage = 1.03883 62520 sec elapsed 90 2 successful, failed patches, couldn't start= 53\n",
      "current avg and SD of usage are 1.00015 0.08999\n"
     ]
    }
   ],
   "source": [
    "#SECOND PATCHING BLOCK -- OVERUSERS.  applies a suppression of LONG STRINGS.  run second for most states except MA, WA\n",
    "maxSD = 0.09 #0.06  #0.08  #0.04  #special 0.09 for WA, run first\n",
    "stopMaxUse = 1.+  2.* maxSD  #0.5*maxSD  #don't be too aggressive; may create long chains\n",
    "print(\"default use threshold for moving on to next overused unit is\",r5(stopMaxUse) )\n",
    "stopMaxUse = float(input(\"enter updated stopMaxUse value\"))\n",
    "nInPlay = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        nInPlay +=1\n",
    "print(\"there are currently\",nInPlay,\"units out of\",nUnits,\"with usage above\",stopMaxUse)\n",
    "nBigUsers = 5\n",
    "maxExchangePop = 0.05*aDP\n",
    "print(\"maxExchangePop is currently\",r5(maxExchangePop/aDP),\"fraction of avgDistrictPop\")\n",
    "newMEPratio = float(input(\"Enter updated maxExchangePop fraction\"))\n",
    "maxExchangePop = newMEPratio*aDP \n",
    "print(\"this block reduces overuse, with exchanges up to\",int(maxExchangePop)) #1/25/24\n",
    "maxGap = 0.9 * np.median(unitPop) \n",
    "maxNtries = 0\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > stopMaxUse:\n",
    "        maxNtries +=1\n",
    "#maxNtries = int(currSD * nUnits / nDistricts)   #try up to about 10% of the districts a unit is drawn into\n",
    "#maxNtries = 10 #overrirde\n",
    "currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "attemptedBigUs = list()\n",
    "print(\"current avg and SD of unit usage are\",r5(currAvg), r5(currSD),\". Now trying to reduce up to\",maxNtries,\"units' overusage\" )\n",
    "startTime = time.time()\n",
    "while currSD > maxSD and len(attemptedBigUs) < maxNtries: \n",
    "    #each round, find the (5) most overused not-yet-tried units. Pick the unit w/ most overuse of it + 1-nbrs\n",
    "    idx = np.argsort(unitUse)\n",
    "    idxNo, nBigFound, bigUsers = 0,0,list()\n",
    "    while nBigFound < nBigUsers:\n",
    "        consideredBigU = idx[-idxNo-1]\n",
    "        if consideredBigU not in attemptedBigUs:\n",
    "            bigUsers.append(consideredBigU)\n",
    "            nBigFound +=1\n",
    "        idxNo +=1\n",
    "    OUUclusters = [ [b] + unitNbrs[b] for b in bigUsers ]\n",
    "    bigOverUse = [np.sum([(unitUse[j] - 1.) for j in OUUclusters[i] ]) for i in range(nBigUsers) ]\n",
    "    bigI = bigOverUse.index(np.max(bigOverUse))\n",
    "    OUU = bigUsers[ bigI ]  #pick the unit that centers cluster with most overuse\n",
    "    attemptedBigUs.append(OUU)  #so we don't try this unit again in a future loop\n",
    "    OUUc = OUUclusters[bigI]  #the list of this unit and ALL its neighbors (to be curated below ...)\n",
    "    print(\"starting to reduce usage for unit\",OUU,\"with usage\",r5(unitUse[OUU]),\". Total units tried =\",len(attemptedBigUs) )\n",
    "    for u in OUUc.copy():\n",
    "        if unitUse[u] < 1.:\n",
    "            OUUc.remove(u)  #...drop any underused neighbors of the primary OUU from the target sheddable cluster\n",
    "    OUU2nbrSet = set( unitNbrs[OUU])\n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.union(set(unitNbrs[u])) \n",
    "    for u in OUUc:\n",
    "        OUU2nbrSet = OUU2nbrSet.difference({u})\n",
    "    ouuHDs, ouuDists = list(), list()\n",
    "    for t in popHDlist:  #finding all HDs with at least one cluster member on the boundary\n",
    "        if OUU in HDunitList[t]:\n",
    "            HDadjoinSet = set( getAdjoiners(HDunitList[t],unitNbrs) )\n",
    "            if len(HDadjoinSet.intersection(OUU2nbrSet) ) > 0: #the OUU or one of its overused 1-neighbors adjoins the complement\n",
    "                ouuHDs.append(t)  #so we can shed the OOUc to the complement\n",
    "                ouuDists.append( unitCP[OUU].distance(hdCP[t]) / avgDist[t] )\n",
    "    nPatchSuccess, nPatchFail, nCouldntStart, idxNo, idx0 = 0, 0, 0, 0, np.argsort(ouuDists) #work from farthest HD in\n",
    "    while unitUse[OUU] > stopMaxUse and idxNo > -0.5*len(ouuHDs): #arbitrarily only examine 50% of HDs, biasing farthest ones\n",
    "        idxNo -=1\n",
    "        if idxNo % int(0.1*len(ouuHDs)) == 0:\n",
    "            print(\"try to drop unit\",OUU,\"from\",abs(idxNo),\"th HD.  usage down to\",unitUse[OUU] )\n",
    "        t = ouuHDs[idx0[idxNo]]\n",
    "        trySet = set(HDunitList[t]).difference(set(OUUc))\n",
    "        contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        if not (contig and complementContig):  #dropping the cluster creates a problem (likely an HD discontig).  Try something simpler ...\n",
    "            if len(set(unitNbrs[OUU]).intersection(HDadjoinSet) )  > 0:  #Yay! The OUU itself on border.  Try dropping just it, not the full cluster\n",
    "                HDouuSet = {OUU}\n",
    "                trySet = set(HDunitList[t]).difference( {OUU} )\n",
    "                contig,complementContig, __, ___ = enclaveCheck(list(trySet), unitNbrs)\n",
    "        else:\n",
    "            HDouuSet = set(HDunitList[t]).intersection(set(OUUc))\n",
    "        if contig and complementContig:  #we can at least drop the cluster, let's go for more\n",
    "            #HDouuSet = set(HDunitList[t]).intersection(set(OUUc))  #the subset of the OUU cluster that's in this HD.  Defined above\n",
    "            HDouuCpop = np.sum([unitPop[u] for u in HDouuSet])\n",
    "            giveUpOnShedding = False            \n",
    "            shedCandidates, shedScores = list(), list()\n",
    "            bdryCandidates = getBdryNonEdgers(trySet, unitNbrs)  #new - any boundary unit can be shed, even if far from OUUc\n",
    "            for u in bdryCandidates:\n",
    "                if HDouuCpop + unitPop[u] <= maxExchangePop:\n",
    "                    shedCandidates.append(u)\n",
    "                    shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])  #bias toward far, overused\n",
    "            if len(shedCandidates) == 0:\n",
    "                giveUpOnShedding = True\n",
    "            while HDouuCpop < maxExchangePop and not giveUpOnShedding:\n",
    "                idx, ij, notYetPicked = np.argsort(shedScores), 0, True\n",
    "                while ij < len(shedScores) and notYetPicked:\n",
    "                    listNo = idx[-1-ij]   #work from high to low score\n",
    "                    shedU = shedCandidates[listNo]\n",
    "                    if shedScores[listNo] <= 0:  #we're delving into the underused; stop adding to shed list\n",
    "                        break\n",
    "                    contig,cContig, __, ___ = enclaveCheck(list(trySet.difference({shedU}) ), unitNbrs)\n",
    "                    if contig and cContig:\n",
    "                        notYetPicked = False\n",
    "                        HDouuCpop += unitPop[shedU]\n",
    "                        #print(\"shedding unit\",shedU,\"from HD\",t,\"total shed Pop now\", HDouuCpop)\n",
    "                        HDouuSet.add(shedU)\n",
    "                        trySet.remove(shedU)\n",
    "                        del shedScores[shedCandidates.index(shedU)]\n",
    "                        del shedCandidates[shedCandidates.index(shedU)]\n",
    "                        newSheddables = set(unitNbrs[shedU]).intersection(trySet)\n",
    "                        for u in newSheddables:\n",
    "                            if HDouuCpop + unitPop[u] <= maxExchangePop and u not in shedCandidates:\n",
    "                                shedCandidates.append(u)\n",
    "                                shedScores.append((unitUse[u] - 1.) * unitCP[u].distance(hdCP[t])/avgDist[t])\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    giveUpOnShedding = True  #all candidates would create a discontig, so can't shed any more units\n",
    "            shedSet = HDouuSet.copy()  #set(OUUc).intersection(set(HDunitList[t]))\n",
    "            trySet = set(HDunitList[t]).difference(shedSet) \n",
    "            gap = aDP - np.sum([unitPop[u] for u in trySet])\n",
    "            nearHDlist, nearHDscore = list(), list()  #these will be dynamic lists of the nearby underused units\n",
    "            for u in trySet:\n",
    "                for uu in unitNbrs[u]:\n",
    "                    if uu not in HDunitList[t] and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:\n",
    "                        nearHDlist.append(uu)\n",
    "                        nearHDscore.append(5.*(unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] )\n",
    "                        #bias toward UNDERUSED, close\n",
    "            addedSet = set( )    \n",
    "            stillGoing = True \n",
    "            while gap > maxGap and len(nearHDlist) > 0 and stillGoing:   #add the lowest-scoring neighboring underused unit until we've roughly squared the HDpop\n",
    "                nearHDscore2 = nearHDscore.copy()\n",
    "                for ij, uu in enumerate(nearHDlist):\n",
    "                    nHDnbrs = len( set(unitNbrs[uu]).intersection(trySet) )\n",
    "                    if nHDnbrs == 1 :  #BIAS AGAINST CREATING A SLIM CHAIN\n",
    "                        nearHDscore2[ij] *= 0.5   #make this score closer to zero (less negative)  #NEW FOR GA 3/11/24\n",
    "                idx, ij, notYetPicked = np.argsort(nearHDscore2), 0, True   #originally, used nearHDscore itself here\n",
    "                while ij < len(nearHDscore) and notYetPicked:        \n",
    "                    listNo = idx[ij]   #nearHDscore.index(np.min(nearHDscore))\n",
    "                    unitNoToAdd = nearHDlist[listNo]  #add this unit ...                            \n",
    "                    canAdd  = wontEnclave(unitNoToAdd, list(trySet), unitNbrs, borderUnits)\n",
    "                    if canAdd:\n",
    "                        notYetPicked = False\n",
    "                    else:\n",
    "                        ij +=1\n",
    "                if notYetPicked:\n",
    "                    stillGoing = False  #can't add any more units; we can't without creating an enclave\n",
    "                else:\n",
    "                    gap -= unitPop[unitNoToAdd]\n",
    "                    addedSet.add(unitNoToAdd)\n",
    "                    trySet.add( unitNoToAdd)\n",
    "                    for uu in unitNbrs[unitNoToAdd]:             # ... and add its nonHD neighbors to future candidates\n",
    "                        if uu not in trySet and uu not in nearHDlist and unitPop[uu] < gap + maxGap and unitUse[uu] < 1.01:  \n",
    "                            nearHDlist.append(uu)\n",
    "                            nearHDscore.append(5.* (unitUse[uu]-1.) + unitCP[uu].distance(hdCP[t]) / avgDist[t] ) \n",
    "                            #bias toward UNDERUSED, ~close\n",
    "                    del nearHDscore[nearHDlist.index(unitNoToAdd)]        \n",
    "                    del nearHDlist[ nearHDlist.index(unitNoToAdd) ]\n",
    "                    for ijj, uu in enumerate(nearHDlist.copy()):\n",
    "                        if unitPop[uu] > gap + maxGap:   #with the added pop from another unit, this unit is now too big to add\n",
    "                            del nearHDscore[nearHDlist.index(uu)]\n",
    "                            del nearHDlist[ nearHDlist.index(uu)]\n",
    "            currPop = np.sum([unitPop[u] for u in trySet])\n",
    "            if abs(currPop - aDP) <= 2.* maxGap:\n",
    "                for u in shedSet:\n",
    "                    unitUse[u] -= HDweight[t] * nDistricts\n",
    "                for u in addedSet:\n",
    "                    unitUse[u] += HDweight[t] * nDistricts\n",
    "                HDunitList[t] = list(trySet)\n",
    "                HDvPop[t]    = currPop\n",
    "                nPatchSuccess +=1\n",
    "            else:\n",
    "                nPatchFail +=1\n",
    "            # end of shed + add patching on this HD\n",
    "            #print(\"shed and patched for HD, OUU\",t,OUU)\n",
    "        else:\n",
    "            nCouldntStart +=1\n",
    "            #print(\"Due to discontiguity, can't drop OUU cluster for HD, OUU\", t, OUU)\n",
    "    print(\"all done trying to reduce usage of unit\",OUU,\"final usage =\",r5(unitUse[OUU]),int(time.time()-startTime),\"sec elapsed\",\n",
    "         nPatchSuccess,nPatchFail,\"successful, failed patches, couldn't start=\",nCouldntStart)\n",
    "    currAvg, currSD = getWeightedAvgAndSD(unitUse,unitPop)\n",
    "    print(\"current avg and SD of usage are\",r5(currAvg), r5(currSD) )\n",
    "            \n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "92f90621-e7fc-4891-a5cd-69033c3c48e6",
   "metadata": {},
   "outputs": [],
   "source": [
    "#copy one of two above blocks and run again if needed (n/a for NC)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "cb60da52-ca13-45dd-8bf0-475213183a0d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "overused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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8KJVKTDQxxYjFi6HTqFFFHsoXB5/PR926deHu7o6HDx/ixIkTSEpKQp06dT730EokNDQUTk5OH62sAEUtCElZUlx+kYhBTexx8KgIA5o7IN7RDBMPBMLWWIK4uDgAQKtWrbB//37UqVMHCoUCrVu3hpeXF7y8vHD37l0EBgbi5MmTAP5bFoSbdx4U/wJx4nABn5Z3yGQy7NmzB5MnT/6gqUOO/wZclBBHlUGrdi1AoYA0JKRS2j906BD27t2Lffv24f7du1ji6oodWZn4WyGvlP6+RHg8Hry8vODo6Ah/f3/k5OS8f6fPhKGhIaRSaYW05ePjg/nz56NHjx4AgAcRqQCAn7+pCUtLS6QmJeKPvl4Q64rw3d9BOHz4MHg8HlavXg03NzfY2NjA0dERK1euZNusV68eYmNjYWlpCUtLS5w8efLfb0F4a0yLS0go/gUiT4lcadH/t+PHjyMtLU3DSZ6DozCcwsJRZdBydQUYBnnBT8u9r6WlJeLj4zXWxcfHQ19fH9pv87pMnToV06ZNQ9++fVFTXx+dVYTxAwdi8eLFFTL+fxMtWrRAWloali5dipUrV+Lx48efe0hFMDAwQGxsLFJTUyGXy3H06FE8efLko9rMn77SEauNz/EZeWjatCn8/Pwg5POQpctHbpYcN+/cha3tu8nL5s2bQyAQ4ObNm+y6ly9fwt7eHsA7C8Lw4cM5CwKKHv/WrVvh4+MDa2vrzzAeji8FTmHhqDLwdHQgMjdF9pPyKyz5D5WCXLhwAU2bNmW/5+TkgMdT3/L5yel4AFQq1YcP+l+Ks7Mzxo8fj65du8LMzAzHjx9HcnJyEbny5jSJjY1F//79UaNGDfB4PA0fo/LSqlUraGtr49ChQ7h16xYePXqEw4cPI/g94elZWVkICgpCUFAQAODixYto1aoVLCws2PtjzerVAIColFyMGTMGoaGh+Pnnn2GaHofMm38jLTkJmZmZbF4WFxcXhIaGIiMjA0+ePIGZmRlWrVqFmzdvgmEYiMViJCcn4+XLlx98vF8Slhbmxb9AaPGhrSXSWB8REYGLFy9ixIgRn3KIHF8gnMLCUaUwdTJB4sv4Ig+VsLAwBAUFITIyEgAwffp0DB48mN2v4EPl+fPnWL9+PQ4dOoSffvqJlenSpQsWLFiAU6dO4U1uLi7KZFh74AA7DcChiYGBAerVq4c+ffpAJBJh586dyC6UDTjf96OsTqRSqRRmZmaYOXMmPDw8Pmp8EokEffr0QVJSEvz8/FjF4fz585DLS57mu3fvHutnAgDr1q3D1atXNSKNVLnpAAAXc104Ojri1KlTuHDhAh7OG4pM/4PqY6nmgK3+1zFp0iQsXLgQffv2BQA0aNAARkZG+P333xEbG4vY2FjUr18fAD5qyqO8yiGgzk1UqQnviICE50BGDJCbBsjV90fThvWLf4Fw1EFhC8v27dthbm7ORu9xcJQI/QtIT08nAJSenv65h8LxkSRt207XWn1Hly5eJKhnxDWWIUOGEBHRkCFDqHXr1hr7Xr58mTw9PUkkEpGTkxNt375dY3tGRgZNnDiR7OzsSEtLi+x0dGlC48YklUo/zcF9wTx//pxmz55NJ0+eLFEGAB07dqzMbbZu3ZomTpz40WPLzs6mkJAQUigU9OrVK5o9eza9evXqg9pi7zUeT+O+yz+uFpuukUmb70hLW0Iu/YeQzeVAWvfPadLV1dWQNzMzY++/kJCQYu/l/GXs2LGljsnf3586d+5MRkZGBIB8fX3fe64vX75MtWrVIgBkYGBACxYsoDVr1hCfz6ezZ8+Svb19sWMZOHAgnTt3jl6/fq3RXmZmJgUGBlJgYCABoBUrVlBgYCBFhIUSzdanac1FNKiukGi2PtFsfQp9co8kEglNnTqVnj17RuvWrVP3PbY60ZnpbLtKpZLs7OzI19f3g64XR8UT/iTpk/ZXnuc3p7BwVCmybt+mq017Ut7Ll5XeV+zc3+i1T8dK7+ffwsGDB2n+/Pklbq9shUUql5LfQz8KjQstUWbVqlU0b948SktLK3O7+QqBlZUV++Dm8/nFKyybr5G2Yx2qUaMGaWlpESMQEMCUqpAUXBimqOzly5dLHd/p06epQ4cOZGBgUOyYChMaGkoSiYSqVaum0Z+3tzd999135O3tTQkJCUWOMX9xd3cv0ubly5dLfoGYrU9DWthT6wa1iZ4cJQq7xu5T5AVidX2is7+w7Z47d44A0IsXL8p8vTgql6qssHBTQhxVCq1atUAMDzn3H1R6X+IaNSALDwcVSF71JROREYGIjAikS9OxM3gnIjKKZhH9UIgI4eHhlZKgrSyoSIVf//gVAUcDsHPDThy+WrTuU0pKClJTU9G5c2cYGBiUOf9LdnY23NzcMGXKFHZd4X3Xbt7GTkEq0hIRGhoKhUIBl5o1Af67n1FDQ0M2Hb9EIkGbNm0gLBCizzAMrKysoKWlxcqUFjUUEBCA9evX48aNG0hPT9fY1qNHDzRs2LDIFNEvv/wCuVyON2/egGEYfPvttxAKhTh37hyOHz+Oc+fOwdzcXCNpW0HySyFoaWmxU0S6urrF5txRTzEx2LFyNq7cfQLU7gE4NAcAtGnTBoGBgZBKpQgJCSl2OqxDhw4gItSoUaPEc8DBkc9HKSyLFy8GwzAajnNxcXEYNGgQLC0toaOjg3r16uHIkSOltjNnzpwiab1dXV0/ZmgcXyh8XV2Y1rRGzKnKz7gqMDUBVCooCz0IvkRepLxA52Od0flYZ3Q61gnL7i3DzwE/g4hw8PlBLLi1AFmyrA9uPzExETk5OXB3d6/AUZfM5ceXcenxJTwKf4SpC6dixrwZ0MrUQq5RLlRQ4cGVB5DKNUOaMzIyAABXkq9g+tXpaLa/GV6nvn5vXz4+PujYsSP+97//sesKO2JfvnAGu3fvRnJgAJR5WTA2NsaFCxfwJjQUKPDgnzVrFtLS0gConbz9/f1Zfxoej4fXr19j/PjxyMvLY2VcXFwwb968YhWsfB8hX1/fYscuFAo1/IfCwsJw6NAhVkkSiUQ4cuQIO4b8MPCFCxfC0NCw1PPSuHFjPH36FMuXLy+9JhLDAFRWx3UqNg8LB0dZ+ODEcXfv3sWmTZtQt25djfWDBw9GWloa/v77b5iammLfvn3o06cP6+hWErVr18bFixffDUzA5bT7r2Ld7Ss8WrIbsjfREFWzqbR+hHZ2AIC84KfQbdmi0vqpbKIyo3Ay9CT73dnAGS2rtcQfD/6A124vKEn9QDXVNsVoj9HlalulUuHUqVO4f/8+AMDc3LziBl4CL6Nfwv+IP/tdBzpQGipBaYR2rdrhZeRLJAUm4fLjy/im3jcgIryIeYGzN84CAM68OINUg1TkKnLxNOUpYh7HvLcOTps2bUBEYBgG06ZNg7e3N9q2bctu13bwRPbrewBUgEqF1NRUje35BAYGFskOnI9KpYKLi4uGMtSzZ0/069cPgwcPxsGDB5GSkoLY2FjMnz8ft27dws2bN4uNzsrn6dOnrLPvrl27cP36dahUKjZ/Tr5iVJhffvmlxDbzmT17NhwdHd9fE4nhgU3A8j6IUFxYMwdHWfggC0tWVhYGDBiALVu2FNG8b9y4gfHjx6NRo0ZwcnLCzJkzYWhoyP7glYRAIGATLFlaWsLUlKvm+V9Fr317MCIR0v85+X7hj0BcvToE5ubIuXOnUvupDHLkOZhwaQImXpqIPv/0wY7gHWDAYLfPbuz02YkRdUZgmPswMAyDX5v+CgA49OIQ9j3bhxnXZiAkrWzJ+d68eYP79+/D0NAQNWvWrJCssu8jJjkGACB2E0NoL4RRLSPMmzQPs3+djQ5eHSAWitVji3+Dc0Hn8OuaX3FgywEkvkqE3FqOYyOOYUbjGQCAZtbNyh3JlJaWViRiJTtEPUWZFJcLYniQ6OsiNjaWndrJRyqVlmi5sLGx0VBWxGIxjhw5gl69esHLywsMw7BjzMvLg4eHBzp27FjqWM3MzNhIumPHjpUaHVVeunbtCi8vL2zZsqV0QYb3VhEpCx9XpoHjv80HKSzjxo1Dp06diqReBtT1WvLfFFQqFQ4cOIC8vDy0adOm1DZfvXoFa2trODk5YcCAAWz4anFIpVJkZGRoLBz/Hng6OrBp4IiIc3c/ug5NaTAMA/B4X6SJOjIzEpejLuNS1CW0tGmJMz3P4Hj34/A092RlJtefjDsD7qBX9V7QE+khITcBi+4sgl+kH6YGTIVS9X7fnUePHkFHRwcTJkxAv379iiQ9K2/4OQBWPisrC4mJiQgKCsLTp0+RmJ6Iree2Iui5ui1rc2vMGDYDE/tMBAA2R8rgDoOhsFDgze03uHn8JlRpKlg3tsb3P3yPBaMWQCKSQMRX5/rY9HATWrZrqZHFtjCFj+H69euwtLTUFCow5cETS5CRnoklvy8tcn8+vn4dubm5Guvyxx0dHa2xXiqVQl9fH+PGjcOrV68wbdo0doz169fH/Pnz3zsFx+Px4ObmBkDtD1ORv4UNGzaEUCjE6NGjS8yZExwcjG8PZMCh2zQwDINVq1a9v+Ev8P/tvwIRVWn7V7nnXQ4cOIAHDx7g7t27xW4/dOgQvvvuO5iYmEAgEEAikeDYsWNwcXEpsc3GjRtjx44dqFmzJmJjYzF37ly0bNkST548KfaNbtGiRZg7d255h15hRL9MhUKmgkqpgk0NI4i0uemrisasmw/e+K5C3pNgaNepHL8JeXw8FHFxEH8BDn+Fi/Ot3bUWALD5681oat202H2uXLmCyZMnIzg4GBY2Fmg2qBl+HPUjhDwhRpwfgeepz2GYZwhfX1+cOXOG9afYvn07GjRoAJlMhnv37sHDw4N96Bbm3r17GlMjkydPBgAMGTIEO3bsQGxsbJGXj4JTw/fv38e+fftgYGCA8ZPGgw8+AEAFFWrYFH9dxAIx5v8wH7df3gYDBh4OHhCLxBoyX9l9BUsdSxx4cQBGWkYY6zm2xHNb+BhKy+prpxcFlakEmfbWWLNxA5SFSgM8j4kpotTlW1VMTEyKTO9kZmZi/fr16Ny5M2bMmIGBAwcCQJlzA6WkpLDnV0dHp0JLKSQnJ6Nt27YwMDDAjRs3ipXJycmBk5EAvft2x0/rT7+/UW5KqEpDhCqdiblcT9qoqChMnDgRFy5cKGIKzSff6ezixYswNTXF8ePH0adPH1y9erXEQmoFq4DWrVsXjRs3hr29PQ4dOoTvv/++iPz06dPZH0ZA7WxXME12ZaOQq2DvbgKVihDzMhWyPCUsnQwg0Re9f2eOMqHTtAkE+hKkHP8HNpWksKQdPgyejg4eCPhY0aWLho+DsbGxhoIwf/58nDp1Cg8ePGAdFx0dHREdHQ1bW1vMnDkTDg4OrIJga2sLb29v7N69G5mZmeUeW+GKvoWL84n4IkAF8Bl+sfuHhYWhU6dOGDNmDPbu3Qs/Pz9MmjQJw5oNQ9v2bSHmizHn4hycm3gOdZrUwZkzZ2BmZoZXr17ByMgIqamp2Lp1KwCgZs2aJY4z3/ejJIpLVFZQfs76OZAlyWBQ0wB8FR8erh5oWqspGDDQEeuUeo4a12hc4rb09HR4PfOCtlIbmXGZ+P3C7+y2zQf+wZJnemCAt07+QIslfsgIfYRHm34qsU0ASPYPhjQxAQppBPh2jkB6OpQpmkpIweOzs7NjFYqSfFGcnZ1x/vx5LFu2DL1794aVlRW2bdsGW1tbfP3116WOJykpCS1aqP2vEhMTS5UtL2FhYZgxYwaysrJw5coVvHjxAgcOHNCQYRgGdVtMBD/ZFKrcE3h+5jbOpW4DwLxTS5gCf9N7gcl2hm52CJp0c6rSD8f/IkRUpdPJlkthuX//PhISElCvXj12nVKpREBAANauXYsXL15g7dq1ePLkCRv+6OHhgatXr2LdunXYuHFjmfoxNDREjRo18Pp18R7+YrEYYrG42G2fEh6PQTVXYxAR4sMyEB+WDhMbXeiban/uoX3xMAIB7Fu7I+LyY1h/QPXmsiB9/Rpabm7II9JQBoCiCkJeXh7s7OwgEong7692CA0LC8Pq1avBMAxGjBgBgUCAcePGYe/evdi5cyeWLFkCAGjSpAlev36NpKQkAMDo0aMxZ84c3Lx5Ez179oRYLC5SxG/9+vUAwCotPj4+Gop9viMtleATsHHjRjg6OmL58uUAADc3N1y7dg0rV66Et7c3Wldrjd3LdkNpoETOtzlo2LAhGIZhHSzDw8ORlZUFhmHYKYeKJjEzEaoEFSw9LTGh+4QKbVvFqCBRSgAANWvXhLG+MatIaFEuejewfRuaC+TlZiExOhJhTDIevafdhMRQ5OZKQUQwSE9EelrJkVfm5uYlKhE8Ho+1vCQlJaFr165Yt24dxo8fDwAwMjLCpk2bNBx4i0NHRwfGhoaIioqCiA/IKjBCn8fjQSaTITo6GgKBAEQEhUJRxKk4Jc8TQpkeiAC5gkFeLgP1xEIBa8rbQyB+NcREWgCREWjQ0QFCUfEKN8dnQvUvsrC0a9euiLl02LBhcHV1ha+vL2uOLGw+5vP55arXkpWVhZCQEAwaNKg8w/tkkErzB4RhGFg6GQAAkt5kITQoEQZm2jCx0f0cw/vXYNy9C0L+uYOs69eh9x4fqA9B7OiI8xcu4kB6Gu7fv48FCxaw23R0dPDw4UNs27YNAKBQKHDgwAGcOXOGVVgAdXjookWL4OjoiPDwcPzzzz9YsWKFRj+3bt0CoH7bTktLw6ZNm9CjRw8sWLAAWlpaiIiIYP8/Zs2ahdOnTyMmJga9e/cucez5/ieqEsJJb968WcTHzNvbm/VD+L317zj1wyk4eDjgxeoXMP+fOarZVMPYsWMxcuRI2Nvbw93dHU+ePGGjakqaFvpQAoIDwAMPbT2LRtt8LOYG5pAJZBApRNCy1kKreq3YbTwtPUz++t1005UrV9C2R88ytSuVZoNICbFYDCFfCyqV2nomFAKF/V0TEhKK7J+vqBT8PczJycGxY8fA4/Ewb948AIBcLsexY8fe68OVnZ2NjNg3ACpWWQHUL4Z8Ph9Xr16Fg4MDXF1d2Smrgmx+dhrQASRGuqjTpRG6TRpWarsvbsfh4vannCtLFaSq+7CU6xdIT08P7u7uGouOjg5MTEzg7u4OV1dXuLi4YPTo0bhz5w5CQkKwfPlyXLhwQSOMsF27dli7di37fcqUKfD390d4eDhu3LiBHj16gM/no1+/fhV2oBWJoYUE8eHFO7eZVtOFk6cZ+EIeQoMSEReWXqmOo/9mxK6u0LE0QvTOvyoluZtWnTrISkuDu4NDkQiSkiJLCucH6ty5M0aMGIHMzEyoVCrMnDkT7u7u4PP5EInUU4T5D3o3NzfI5XIIhUIsX74cQUFBqFevHsaNG4e6devim2++wf79+2Fvbw9nZ+dSE4opVAoAgLGWcbHb4+LiYGFhobHOwsICGRkZyM3NBY/hITwsHA//fgiRpQhTNk3BDz/8gAkTJmDnzp2QyWSshfPRo0elOsF/KJkZ6of9y7iXFVpEMSsrC7/99hue3nuKuXPnwqe+D5vfCQDSpaShMORPaxERLl++XGq/POZtccQ1a1DT1RVWemoLgZao9J95Pv+tb04xL25yuRwqlQrfdOiAJW99887/7AulUglxGZTEsKTU98p8CImJiZg3bx5WrVpV5F4qQnl+497KMlX60fjfhPA2Sr2KUqFDEwqFOH36NMzMzNClSxfUrVsXu3btws6dOzXC80JCQljzOKAOnezXrx9q1qyJPn36wMTEBLdu3YKZmVlFDq/CEEsEiH5Z+o+EobkETp5m0DPWQtjDJLx5kVrEMsNROgzDoMZPgxEfkobYpSvev8N7KPxQvBAXh1b6+vBt3bqIk6OPjw/mz5/Phu3//vvvcHFxKaJEm5qaomPHjkhMTIRKpcLo0aMRFhYGpVIJmUwGALCysoJAIMC5c+eQm5sLuVyOq1evQqlU4v79+3B2dka3bt0QEhKC7Oxs3Lx5Ew4ODqUei1ylfp0X8z98alSlUqF+vfr45odvcJt/G30G98HIkSOxceNG5ObmstF9Q4cOhd3bnDUVSdcmXSEVS/H47GO8inpVYUUUs7LV0zRJSUkQCARs7phpM2cBAHipERj2vzl4GPwcQNFIpvzpbIlEUqRfuUKd12TUqFG4evUqYjPVirSOtgRWOsYQlaBglJRVNh8iQtjLl6j9Vsn1y8xEHSsrTPyqXan7VTbp6elYtmwZbt68iT/++KN4RZLRlH9fNe6XIS+w5fwcOFd3KntkEccngVRVO7HfRyssV65c0bjhqlevjiNHjiA+Ph7Z2dl4+PBhkamd8PBwzJkzh/1+4MABxMTEQCqV4s2bNzhw4ACcnZ0/dmiVQuzrNCRHZ8Pr67L9gOsYiOHkaQYzW12EP05CZHAylIqyT4/919Ft2RK1R/jgxZlHSDl4qES5sryhF7aaPA0JQe+YaFj07VtsFFtYWBjrNyIQCBAZGYnbt29ryBw4cAAnT55k35wfPHgAJycnAJrhrI0bN9YI7c9P6FWtWjXo6+vj2LFjqF69OruPn58feDweaxkYN24cACA0LRQAEJwcDKBkhcXS0hLx8fEa56Z///4AgHPnzgFQK1K1atXCyLojEZURhUlXJsHV1RWRkZHw9/fHpk2b4O3tjfbt22PXrl0a7WdmZmLSpEmwt7eHtrY2mjVrVmLkYEkY6xujR0+1omha07TU0OPCODg44I8//sDgwYNhYGCgeewWljCrZwalUgmGYfDjjz8CABbPV0+3nD9/HrtWzcPAIcOgVKrYSKZ8R2Vvb28AYAMLdHSKd/7lSd79fBqJLQEeH7ICFhQGgI5WAUf8gq+u2hJ1SD0A5u3fJ69e4c7bkOiw5CQ8jo3F0osXynQ+Kothw4YhLCwMxsbFW/IKo1Qq31uNOyUtBYbGeli0cFHR8HGOz0sVjxKqwsafqkdiZCbEEiGq1TQq90UVS4Rw9DCDdQ1DvHmeivBHSZDlKSpppP8uTAcPhEsrFzxZdwyyqKhiZcqSHMzHxwcdOnRg/VJmzZoFGwsL/NOylcabYHBwMLp06QJ3d3dWsVAoFMUm5ZLL5dDXfxd6X6tWLTx/rlYmCpr/v/32W1y5cqXI/iEhIZg1axZ4PB4ePnwICwsLiEQidOzYET179sSFC+oHVr4/y7J7ywAAlyIvQU+kBwOxQZE2AaBp06bw8/PTODeFo/SaN2+OFy9eoFW1Vvi99e+4H38f1x5eg4WFBfr16wcHBwecPn0akyZNwogRI1hFBwBGjBiBCxcuYPfu3Xj8+DE6dOiA9u3bF8k18j6CI9XnysO++Ifbh9LArQEsLCygVCnx559/AlDnFXny5AmICJv+OodvO3tj+qod2PLnVly5cqWIo3L+tHW1atWK7YPhMRDoqJ3BUxVZEPDeOZAyDAMjY2Nk58kK7FBg59wc4O39QQXuE3MTE4jFYpiZmUEul+P06TKEClciCxcuhIWFBWstDAsLw9OnT9X5V779Fvb29hi9sBMO+22FTCZDbm4uhg0bhmbNmhVRJPOJzwhDm84N8V3f76pE8ATHO9TZnj/3KEqGU1jKCKkImSl5MLYuPdTyfQiEfNi7m8CutjHiwzIQGpSIvKyKy075b0WWlQMtiRCCEjIg50/hvO8NPf/hnU+/pk3hkJPDvoUD77KMamu/i/YqKUV5enoGxGJN33W5XNOCxufzNayQ+T/STk5OrEN6/pRSbGwsGIbBrVu3EBAQwIa1tm3bFgzDYMPXGwAA4+3HY3XN1UiKVU+tFp7WGDNmDEJDQ/Hzzz/D0dER1tbWuHnzpsa4fvrpJ9y6dQsLFy6EdZ41xA/F+GvXX7CxsYGdnR28vb3h6uqKH3/8Eb169cLKlSsBALm5uThy5AiWLl2KVq1awcXFBXPmzIGLiws2bNhQ6vkvSEpmCiKuqws0muiZlHm/suBp7wkTExN07N8RJ06cAKD+MW7WrBnevHmDUb06wLlBG2hnRGLBxr0A3jkqZ2Wpp5SuXbsGAHjx4kXxnTAMFNnq/934hAREpcexm4gIqamFpo3LEHiQnZcHhUIBR0dHTJkypUjSvU9Jhw4dAKin7FNSUgCo8+x07NhRnX/FyYktGHnhzlHExsZi2bJl8PLywogRI4ptUyaTI0eq9l2qym/y/1Wqeh4WTmEpIymx2TCzq7i05Dw+D7ZuxnD0MEVKXDZCgxKRmVJ83Y//OjkPAvHmXgSqj+oJnnbZQ8YDAgLQrFkziEQidmqlY8eOaNCgASszad8+1Lxzm30YA8DSpUuxYMECjbwZoaGhiIgoWv04KysTCQkp7Pd858qCKJVKZBUIb80PYY6OjoZKpSoSfSOVSpGdnY2zZ8/CyMgI06ZNK1JAdOqUqWhYvyF+/VWddr9wgjZHR0ecOnUKFy5cgIeHB5YvX85aGvJp2LAhjh07hv3796NunboIPxoO58HOSE9PZ3N73L59G+fOnYOdnR2r8CgUCiiVyiK5mLS1tdmHfFk4cFmd04OxYaAj+rgXgcKIRWJY2lvCrbobroRdAQD4+vrCzMwMmzZtAgAM6twGprWaAEmh+G3DXkRHx0CpVLK5RvJDy0tCmfnOQlrUsV4d+lvc/VAa3g1aQKlU4sGDB9i0aROrKFQkBdNSFEf+AyvfQtesWTP2+I4dO4bw8HA0aNAAvX2GoHa1pjDWs0DvdiM1qjgXZ00kIvz5x74i/XBUHYioSuf14xSWMpKVKoWecfHJ8j4GhmFg7WIIJ08z5GXJEfYwEalx2RXez5cKESH0940wtNKFYfeuZd5v2rRpaN++PW7evFlqfZXeJuo3+4KJCPPN3wUpHIpaHEKRUMO50kzybt4/JT9de4H/OBsbG0yfPl2jXR0dHezatQsKhQKjR49GRkYGxo8fj549e2LixInQs9LDNP9p7IMhPzHbjh07ijwk2rRpg8DAQEilUoSEhGDo0KFFxty5c2c8fvwY2dnZmL71V5h4WSHqzRuYGVvCysQOMeGJeP4oBNFRMWyEkZ6eHpo2bYp58+YhJkb9kN+zZw9u3ryJ2NjYUs9RQeLi4pAjzsGvI36t8JBpAJCbqq972sM0AECeLA9eXl4a+Z3G9e4AHad6UMW/QkJSEtauXYuRI0eWqX2xrRZMa9hC10EXjIDRmAIx0TEBj8eHpIQpu5I46q+edlMoFGjfvn2ZfXrKQ0hYWInbrKysYGNjg/379yMwMBCurq64f/8+du7cqSEXGRKLu4cS8OxcBkCAUPL+63fj8gMkZIfBxKDyC2hyfCBV2+eWU1jKCl/Ig6KiEx0UwsxOD44e6siosIeJSIjgaiRlnjmD5Kh0uPxvJOucWBYyMjKgUBTvIzR8+HD2c823jpA13pOen2GYErM75yOXFVaM3iYqE/BhKVFPA/FEPIirvS3e9+YNG31TMFPzoEGDYGNjg8DAQPj4+MDa2hoymQx79uyBcwfnSnm4b9t7HFp/uaN/0Cxkp8gQ7B8HRbADmJfVIQhxhX56LQ353bt3g4hgY2MDsViM1atXo1+/fuUam6mZKSRSCaKSi/dL+liWjl2KpbOWomHnhgCAY38fw43bN2BlZcXK8Hg8TB3cFdZ1msHY0AANmzRDcEgkiAiZmZmYM2dOiU630qg8KFU5GLl1JEy8TVCnyTsfIXdLV6hUSmTmpKC4V1YejwdPT89i2xUL1PeZIoyKWNYqgvTCU1VQh+sPGDAAiYmJmDZtGvr27Ys6derAwsIC9erVw6JFizTkZXnqe71hb0voGovRoG3J2ZDzuX3zDrQYAzRt2ahiDoSjwuGmhP4lmNvrfTIFwshSB44eZpDoixD2MBExr9L+k7lcVFIpXq47COs6NtBpUnIa9uKoXr16iQ59fQ3fRW7EaqutGy9fviy1PSJiHXDLSmKO+sEgVyhxeMU8SGpI4OJhC0WSWpFSKBSsz0dUVBTc3NyQnZ0NhmEQGRkJlUqFkydPgmEYdOnSBWlpaXBs51hiOv6PITtTbVXqONEdTtXtYO4qQLefvNBtkie8OlkjMycNOjq6rF+Ps7Mz/P39kZWVhaioKNy5cwdyuZyNkCoLzes0hwoq7D27t0KLKObz22+/4fz583AzVmfqvXX7FhJiE9DgqwYozKhvO6BRy68QEfoau3buxOXAF7h37x7mzJmD7OySLZ6pIclY1XEVFGkKPAh/wK73D7kGPp//9sdf/b9bze6dD5RKpcLDt8daGJG2EEK+ANdeXymx34rEwsISA7uPwvMnr0BEeHjnKU4fuYSrF29DmisDwzBFrIts1mCJSCPHTWnkyrJgbmL1XjmOzwcR/XfysPybEWkJIM2tXAtLYXSNtODoYQZjax2EP0pC5NNkqJT/nZDo5F27kZMph93UH0uVKxzSDABDbW3xdQlvxlqid06yK0LVjpLTutWGjXHFllQQvVUslADWz14MgYEAL29HQJn3NkutSoWHDx+y8s+ePQOgzoibb6k4e/YsAHWROx8fH2gba7PJyyoSpUKFLN1kOLqZo/VXLXH7wXVUq2mEaq7GMHfSxfPo+/Co7VlkPx0dHVhZWSE1NRXnzp1Dt27dytxnfZf6EDmLkBOSgxs3bsDLy4stjDh58mR4eXmV6KMDgJXPL6Do5eWlke8pPj4eQ4YMYWshSYQSdO3aFW8S1ZlhCytBS+f9iozMTFy+cA5Htq7BtkN/lzr+b775BhKJBCQliEgEl2nq0PhqBupQXaVSCSKCqZl6CmS0rr3G/iW9gmRlZcHDyxMinXcKd2X8ULfr1Bk8Ph+dmw2ANEeO4OePYGVpgwPH9mDP4a04cnI/Xoe+wu3bt+HiqE6YmK9IRseoo8FWb1imkVMLKFmRVFAeZFI55HI54uLiEBQUxKb+DwoKKrEUC8eng6p4an7Qv4D09HQCQOnp6ZXaT9ijxEpt/33IpAoKe5RIYY8SSSZVfNaxVDby5GS63rY/Rc1Z8F7Z06dP03c9e1INKyuC+jlA35qZ08UJE9nv71vs7OyIYRjSkegU2SYQCMrcTv6iLRSQtkCL/W4kkRAY9Wcej1fqvu/rr2HPhuU6l5mZmRQYGEiBgYEEgFasWEGBgYEUERFBRETTpk2jevWb0+KfDxARUWhoKEkkEpo6dSo9e/aMZv8yn3gMj9at2MK2efbsWTpz5gyFhobS+fPnycPDgxo3bkwymazM40pIT6Bp66bR7Nmz6XnU83IdU1m4fPlyseev67ddiYhoyJAh1Lp16yL71HSrTXw+n4yMjKhbt27Ub5xvse24u7tTYGAgffvtt9S6dWv6wacOAaABdcR0eYiEnE30CABpCcUEgH4eMpIAkJWVFVkVuFcBkIDHZz8LhUIaNGgQzZgxg2bOnFnue+99i6mpKQEgPT09WrJkCQ0ds5psTJypfoOGlJycTBMmTCBbWzvSEmuRgF/8vWhhYUn6EhP2fl25ciV7DouTl0gkZGxsTAzDUJcuXYqV0dfXJ0NDQzI0NKR27drR7du3K/ye4CidjORcSnqT+Un7LM/zm1NYykFGci7Fh1duH2VBqVBSZHAyhQYlUG5W2R8QXxJRs+fT9a/6kzwlpUQZlVxOGZcvU9T4CfSThUWZf7BXrFjBfubz1Q8KkUhE27dvZ3/MCy48hl/mtvMXptB3sUBI4JdhP4ahZcuWEQD64YcfyMDAgNzd3QkALVmyhADQ8HXDy3UuS3pwDxkyhIjUD25HJ1daPH2/xj6enp4kEonItpodDWwzlYJuvGC3Hzx4kJycnEgkEpGlpSWNGzeO0tLSyjWuKSun0OzZs8l3oS8lZySXa9/ycvPZTfp19q80c9PMMsnL5Qq69uApPY+MY9eVdM3atm1LSoWCBnmICAB16tSJYmY2p9RfJtKhfn+Qpa4pq4gAIGdnZ3J3d6esrKy3D/+i926rVq2IiEiaklhiv3w+n27VrEHQMyAewxAAqu1RnZo2bUoeHh7EvF0HgAyNDKhevXrs/W9kZESGhoYkEolIS1tC5ga29Nsqf/ZY8xXc+vXrU9++femncb40dsx4unHpPp0+fZpGDhtDPZqMIQBkZGREU6ZMocDAQHr16lWRcxkWFkbfDx1J3bt1J0d7Z+rbty/NmTNHQ6Z///60bt06CgwMpGfPntHQoUPJwMCA3rx58yGXm+MDyUjOpeTorE/aJ6ewVCKv78dXGeuGSqWi6JepFBqUQJkpuZ97OBVG3uvX5N+yLyVs2Vri9rilS+lFixb0tKYrhXTpSknbt5M8KYn9gT527BgRlfyQKbyYmJiQv7//B1lTKnrR1dWlxo0b0969e4nP55OOjg4ZGhrShAkTSMdSh+bdmFfh53zRgp20eOa+Yrc9DwqntaP96OHNlxXa58/zf6ZJiydVaJslsfvSbpo9ezZFJER8cBv599Xp06dpxowZdPToUQJA+/bto4ATeyhwtNo6Z2lpSYGBgXTrh78oyjeAHAxtSCIW086dO1kFJ9+Cla84AiA7Y0e1cisWk7GxMR07cJAej7cv8T7R1tamf4Z5E9+qGgneWu02bdpErVu3LtN91rBhQ5LLFNS4RgdysfKgLQeDNY618GJkaEyzf51Nz4JC6MJJ/2JlClusiIjiopJpwezfae6v86h58xbFKiyFUSgUpKenRzt37vzg68VRftITcygltuoqLJwPSzlx9DRD1NOKz43wITAMA+vqhnD0MENu5r8nJDri97WQ6IlgMvhdZVhlVhZS//oL4X37IbRTZ6QfPgL9Dt5wOHIYUf+bjKFHjsCuUCbX/ARghRkwYAAAaDjlKhQKPHr0CIbviQT6FGRlZSE1NRXLli2DgYEBsrOzkZmZiXXr1sHcyxx8XsU73ZISKMmXN78GFsOruLntLFkWlKSEWCpGXGpcuaq5fwgZ2WqH+Y17N+Jp5FOoVCq8SXnz3pIOxTkDR0dH4/jx4+jbty8AYOr4kWjVbSC8Nqn/9+Li4uDl5YW2WwfC8fc2CE+LhrGpKerWrctu7969O5vvZdeuXRAJRBjz1VQA6v/r1NRUDB3aH/XWvcv9061bN9wf1xBfO6kv1IwZM1B71gZ8X90aPIaBkM9HmzZtkJqaClNTUzRu3BgXw27jrF91HDtuD119XWzatAlEBHt7e/Tv3x/XT4djUFtfTOq6AiP6vIsEowI5VfKXuHi1v9eTwJewtqqGtaPVeVryq0pTMflXpHlybPhzNWTIgnfbzhAI+OwxlkZOTg7kcnmZSwJwVAxVPUpI8H4RjoLweAz4gqqn55nZ6cHMTg+pb5PQ6RqJYW6v/7mHVW6yb91C7JNYeM0YAkYoRM7du0g7chQZ586B8vKg06IFbFathO5XX4H3tlBczpkz8PDwwPDhw9GzZ08AwPPnz/HgwYNi+9i7V53ZND+BG6Au2jZ+/PhKPTZGzAAyAgHq99ESsLS0hK6uLh48eICaNWsiPT0dc+fOVTug1gMiMosmsPtYSMGAec+vQUX/kCVqJcIxyxEb/9gIlakK00dOh7a4Yh2f8+nVohe2ZWxDXlge9u3YB4WWAlo5WsjSzipy7xTk3r17aNu2Lfs9P19PrVq1EBQUhFq1aiE6ORtnB0jg6V4TxhMD0KFjF9y6dQsKhQJWOgQbHR5uRUezDsXPnj1jHawBtXIgU8iw7466XpNKpYKpqSlMmCyEJqvz99ja2iIiIgJNzzyFllgC8HLw628LMfPXX6HFZyBTKmFgwIe7e00QAaamAnh/E4bY670QEy3H5s0pMDc0Q9pDRyyfcBkZKXm4fPQVFF6R0II68HrdmEvvDpwBLAUM6mrzoWIYqKB2Hu+maIv0IMLl2yEA3q84XzmjTjZY16kpGrfxZI/3ffj6+sLa2hrt27d/ryxHxUFVPHEcp7B8AAwDqJQq8PhVT3ExstSBkaUOslLzEPYwEWKJAFYuhlVaa86HlEq8Xr4VBhIFZOHhCPH+BvLISAhtbWE6ehQMunWD0KpoWKSPjw9bpDCf6dOnF9uHnoAHZz0JglLV1pd3QaeVj8DAAvKEuPfKpaenw+RtQjuZTAYfHx8EBASgY8eOCK8ejuvR1zH83HAQEVT0th4NiP0uV8mhIAUUKvWiVClBIDB4F35KACJ1vkMu3xI8KGBS2xUCJXDh7yCICBCBAR9qJSUvSwpZQx2cjAiHbqo6MVz+3cQU+Iy3D6KCdxpT6K/G5zoj8CA7HXlZeWBA6HHgH0xtVhPtqnuU+ZyWFXNDc0zrPw0h8SHY+tdWQAEo8hRgiMGsObMgFhQfAt+mTRuNB6yvry9OnTqFJ0+eICAgAAAgFArwzd4cHPvuOWpf2o6rV6/ixIkT6NSpE3InmEKl64BW5wgtW7bE/v37IZPJkJ6ejgkTJmDVqlW4cuUK2rZtiyeRtwCor3liYiLadmiLZ03vg5mbAX19fQQGBmLzmTtY6J8I6/gAZF3ZgPhoFQyNRRg52A09B6hD/0d8fwpaWgJs25qO+Pgk6OuL0aKFFny8f4Dc2FodurqfD4GDLrSamAFZChhlqaDL5wGkvpdAgFFCNoRKFfLs9MBTEvhKFeTJuXCSqyDlCSGrKwA2lX7eU5LTAGLQY1CHMl+rxYsX48CBA7hy5cp7cx9xVDBUsZbUioZTWD4ApUIFlZJQCZb5CkPXSAu6RlrIy5Yj4ok6xbxQxIeFoz4Eoqo58JQDB5EWmwnzpGAkbQ6Fvrc3DObPg6RBg3IljQOARo0a4c6dO0XWZypUrLICvFNWaltWR3Dcq48ZviZaWkChvC1lUVYAoGfPnjh48CC0tbURFhaGpKQkZGZmYuzYsfDx8MHjpMfQF+mr81+A0Qhz5jN8CHgCzaWA6SRfsVGAj2UZXtBlpHARpECZIoVSJgRPB8jhAakMvZUFSJcPuTYBYjESlPntAHgb9vSu7bc/dEyh70AhuXdCpGMCSIAMvgAygRB/JbypFIUlH2cLZyz8cSEA4HrwdfgdOYNdJ6agYxN17ZvklHBExzzS2Kfgz7e//0U0beqJ2NhHiIp6AgBo2bIJLl1SlyTgKROhVCoRfPccVi6ZiaeBKYjNSoaDvQP8/f0hFArh6emJhIQEts02bdpg//gNWHVqD1L4CXj16hVatWqFvSfOQL5InVBw/vz5CA4OxuypE5Ae8xK5qakYPcoM/+vbBy6tNoDhC9n2dHXbwNPTE9eurQIA5OVk4votTxhr2cGrWW0AwPJpQrSsZ4Uf+7kDUKcG+P3333H//n3Exsbi2LFjMBM7QhmeAddxnmzb0kwp4uffhrYNYed5demCHj16YOLEiRr1sgBgy5YtWLHsD4RHhuCP1atQv359ZGZmwtLSssQXqGXLlmHx4sW4ePEiO4XG8ekgIvCq8Mstp7CUk7T4HOibalfZh35htHSEcKijLhgolyoRF5bBZuw1NJfA0ELyOYcHQF32ICkqExlxgFFmKCzn/QZ9Hx/wdXXLtn9WVpEcDnXr1kVOTg6ePHlSRF5LoIVfOv6MeScXQa5SZ+xMlspQy7Yhnkbd/fgDAoooKwDA8AVo/1VbtgJzSeRPWSkUCjAMg++++w6HDh3Ctm3bsLHRRmwYUvYCgyXx/ZMwAOn4q14deOl//nug583TuJFnje+cq3+yPpvXbo7I0AUw13mB5y/UVZGj3yzG8+drStznzZso1HYPw9NnN2H51thnZa2+x6QKgvODP9C0Gh+7N6zDV458jOgoQb9D2QiPjABfSeCZWiJNYgy5Kgkh4bE4fvYWGALq6RpBoGeGmZNHYcSIEVAqlbh/+xbE8TkAgIe7liClXQ/Ut3oBz+4iLF/G4N5dS1Tf9K4+1NatW7Fz507cunUL/v7+sLe3h7e3N5wc1EqPXC5nfXFkMhlevHgBHx8fPHv2DBEREWjYsCHWrVunMTV27qU/tjX4Ca9fv4ZcLoe9hT1G1+qJJo27wixSnZXbwcGh2HN15coVtGrWFq3btsCE8RPw+7LfceXKFdjY2BQrn1/D69y5cxr1vjg+HUSo0lNCXJRQOfncuVgqktS4bDavS9SzZJLlfbrop9wsmbrvh4mUEJFBKpXqg9sqKWy3S5cuFBERoY680dInALT6p5/pyZ5DJUfoiEXvzZPyMYtlOaKQeDweGRsbk52dHfn6+tL48eOpSZMmH33ur6dkksWlQOoVWDQElYjI39+fOnfuzOYKyY+4KomYmBjq168fVa9enRiGoYkTJxaROXLkCNWvX58MDAxIIpGQh4cH7dq1i92+/uVtsrgUSBtf3vyYQys3mTnRdNHPiS76Oanvj9W+9PTpUXr69CgFPz2iuQQfJnt7K5o0aQAFBx+hJ08OEwAaNepbAkAb5g2i9KC1FPjPbKpe21p9Dfnqe6lOvfpkUc2WbBycSGRsTCgQcjz85xk0ZdklWjj5MhERicViqlu3bon3Rd8+jYivJSaJjSV1vnqMWu/6g/RrOBYra29vT7k5mXTRz4lO/rWsWBlXV1fy9PRkr1v+NX+6Poj29P2Djh49Sk+fPqXXr1/Tr0NnEA88WrZwBZvXx9nZmfr376+R12fQoEFERLRy4QZaNHslBQYG0r1794jH45G7uzv98MMPFBz8Lipp8eLFJBKJ6PDhwxQbG8sumZmfNifIf52k6EzKSP60EafleX5zFpZyUpXn98qLocU7C4tCpkR8WAbkb60v+qbaMLKUVKjvi0KmROzrdCgVKoglAtjVNgGvAs5nmzZtcPnyZQ3nSAD4559/oKenrrCteFuUcMLKpejZ5AfM678Hs/YNLNKWUsWDnkSE9CxNC4mbpwueBX18Js40ZdmyJfN4PKhUKtjY2ODx48cYPnw4/Pz8KqS2zMNM9Vt7b8viIzCys7NLdUQtjFQqhZmZGWbOnKlR9bogxsbGmDFjBlxdXSESiXDy5EkMGzYM5ubm8Pb2xvdO9bEk4goWR8jR2ToVNjpGH36A5UBX2xqGTgvx5vUsAMDz9LsYV3NhiTWR7Oz+gFSqD5nsXQmCjAz1dAzfoiX0PUZi4fqBiLL2gtvvW3HI1QV1nKqDp1SguoM94uLiIBJrQaajC2RlAgCObVmP1NQF6NxyLA6dVl93uYrBgVP+yMxIx9mD+xD7/B5eJIUhI02Fv888hTJPCi1TY4gYAiPNgyxPAe1vuoB39RIMDQ0RHa3ORFutWjXcvXsPAGBtZVaiw2ubNm2KrOPLlGht74VQE8LPP//MTheZ6Rhjyi+TgV/UciEhIQgJCYFQKMSOHTsQEhICf39/ONg7IiIyHF2+6Ynpc39i233y5AmePHmCbdu2saUe8vLyIJPJ0KtXL40xzJ49G3PmzCntEnJUJFU8SoizsJST8MdJld5HVSAtIYe1vkQ+SyZprvyD2lEqlBT9MoXCHqrbkcsq14qDQhaBkqwvAzx06UQ/I9IRgoy11es2drOjKU1FlWZd+ZBl+vTp7LFMmjSJmjZt+tHnKEuuIO+7L8jiUiCF5eSV63y+j9atWxdrYSkOLy8vmjnzXSK3y3GhZHnxFvW+8U8R2dsRJ2l5wAjacHMirb4+gWZd7Et/XP+J9gYuLPPYSiMlK4oA0Ny5FrT3ZAs6dXtHsXI///wzOTg4FHut2rZtS0qVirS8u5DQoz7VPX6JYmJi33uNfX2Lz6QLgDxsPCjKN4CifAPIrboeaWuLqU6LBgSBgJo0f3cvrHh8iqwv3SWJRELffqu2+GhpaVGLFi3IwMCADhywowfXij8mIs3rln/NI9/2m5935siRIwSARHwhbf95C8mk8iL7Er1NFDd8BPXs1ousLG3oxx/HExHRDz/8QE5OTnTlyhWqW7culyiuCpIYlUFZaaX/JlQ0nIWlEqH/SBFCAzNtGJip336UchXiw9Mhe1sDR0tHCBMbXQjFxfvxEBESIjKRmykDw2Ng6WQAsXbl3WqFfVjy650YGxuzb461nOohOOQ+GIbBsWPH4ODgAKVMCtcrzVDTlId9jxWYHxCNN6mftl7U+zh16hSGDx+OO3fuYPPmzdi8efNHt6kj4OMPNzu0vvMcYTlSOGgXHyFTWRARLl26hBcvXmDJkiXs+jYWjqj+LAg3so0QlZ0CWx21BShPnoUpV39BhkIJFVDAmVftO3I/9gZ+qD8dLubNyj2W/HtnxY1DAICLIbXAGBKcM37FdV1rnNx9CdHR0di1Sx1yPGbMGKxduxZTp07F8OHDcenSJUyYMAFKpRITJkwAj2Fg2aYJcqCNhPR0dFi7FYC6GGdwcDCEQiFGPQnDjoG9IX94HwDQpEkTAMDs5VvRrM03+KFfB2RnZUAuk+Fh9EOcfXkV39RoCS2hALo6PNi42OPx7XeOwbGxsdjz81LEPw6DMicHiYmJANTh0VOmTMGgQYOwfXsK4mMXIjxyEgCgfv36WLhwIRo1Krlycq6VDiSx2WjWrBl69+7NpgHo6dUV7ZmaeDPrBqR8HnLic0DKd7+LDg4OaO7VHpEJrxAbFwM+n6cR+ZOTk4PevXtj7Nix7D5//vknjhw5Aj8/vyJFLjk+HVW9lhCnsJSD7HQp0hNyQSr6V00NvQ++kAfr6u9M9HnZciRGZkAue5vsiwCBkAeRtgDZ6eofNTM7PVg4fJo8MCXlyhgyZAh27NgBAEhJTUFKjDqx14IFC3Dv3j1W/n6s+jgSc1SYM9cCc2bHf5Jxl4ZEIkFOTg4yMjLg7u4OR0dHrFq1ik1697FYiYXQ4jG4k56Ntiaf5jqlp6fDxsYGUqkUfD4f69evx9dff60hM8/NE989TceAe1cR0LobpLJ0/HZlKNIUSuz7ejVqW7VFel48MnIToCPSxczLo3A+IRznz4zGpNo98X2DucjMS8Y/T1dDrlJCBR7A8NHBpR9sDGoUGVPhe+fqrsu4ugvo0EEXw3yvITwyDLHR76K7HB0dcerUKfz0009YuXIlRCIR9PT0kJaWhtu3b6N79+4Y9nItNp5JRFIygwQ9AwCAQ7uOCIuMxJxZs3Dqxk3II8KLjMXTyRg24lQkxUWxUyQFITAglbyIT6RUKoWOsQF0B3yPzOXzEJquVlh0dUTgS29DKs1FbKwAHds3xneDJkNLSwtLlixBhw4dEBwcXKITrFLEh5wI0QcjcOSXQ8iR5qDnb73x99Mz6NLzW9QzcQcTmwV+thypt2Px5lIUqn311sFXIYOIkUCkJcT9+/fx+PFjNvLn1q1bRR6KXKK4qkFVfyHnFJYyEvMqFQzDoO5X1aq0Bvop0NIRaigwACCXKSHNVsDMTu+Tj6dwrozi+K7daAQcfAFA/Qb4yy+/oGfPnti4ZhFcam1B+3ahqFXLE2tWayZlMzU1hFyeAZ6xFVLDojW28RgemwclHwFfBIVS80GjuY8APCihKGW8+vr67PFMmjQJEydOLPXYPgR9AR8tjPTwOCu3wtsuCT09PbaKr5+fHyZPngwnJycN/4nWFo4QPTyJCHkiJp7ugrvJ4chUAd+7tIG79VcAAENtSxhqqysib+hyERl5yeh0pD02Pj0KHpS4FBWAoIxUjb7Ph5/D3h7XNHxT0nNl2J9xB+473CFR1sSlgXuhIxIjIycLF/zbwBB7MGCIFtw9z2m01aZNGwQGBuLo0aM4c+YM3Nzc8L///Q/x8fG4evBPuHwtxLlvemNfoD1OXbuFx9eu4J6lLYaevAyt+Hh1IqcCREVFsZ9zcnKgr6+PZs2aISgoCHFxcdhy9yAWXtmAsNQUiLUYZGdrVke+cOECUl5GIPPEJagUCrx5FgIA6NNLH5t2bYaJMQ/z59aCu+sYOLp6AiibRUPLRhcUng7tkDTUgC4EUEftNW3aFDuv7ED/c2/PyzEtMCqC6lwYXiVkw7lPDejq6iE2JQKRkZGIjo6Gv78/G/lT3P8qlyiu6lAJxeArDE5hKQPJ0VnQ0hHB2Frncw+lyiIU8SGsQqHehaeJ9J0UuH1dbVUZMGAAbt5UJ+mKT1kFF6ivK4/HQ3KyZtmFpKQ09Yd0TWUFQBFlBUCpyop6HwUK7mVqaoqkJM0HkKWlJSIjI8EwDA4ePFgpCgsAKFQEySdMfsjj8eDi4gIA8PT0xLNnz7Bo0aIiDp98KJAraYC7yefwlaUbvnX/EV5WrUpsV1/LBMe7n8TYs72wIvgEGBC+d26JH5osB0NKnHy2DrMD9+J/57piQbu9GPXPajxPe4A8JgoMXwoDVX1s77oYOiL11Ji+RBeNGhzBvRdHoI91ePjqCBzMi14DY2Nj/Pnnu7Di7du3Y/v27ejQQRc/93mB4OAsiHLVjrV1w17gcfN2SLl0qUg7EyZMAKCeynRwcICFhQWMjY3ZFyM9sQQda7bBvEtrIc1TIeAvf4BhkJudg6CgIPzzzz8YO3QU4uLiMG/ePOCtZebIcTmkUjmuXr1bJKdJYYuGUqlEYmKiRgkCh7YOMPZ0gJ2dHaZPn45n/wQCUCscUqmUlZUL5Mi1ZXA3NRRGFyOgTM5DTU8XbDuwFuHh4ejYsSMcHBwQFxfH9l0QLlFc1aGqTwlxTrdlIORBQqW0y1F5lORsC4CWzlxPX7dTF5Vb8ttQSo4LL1GW4fNJp2sP8tgwq1THyYKh0E4O1tSsmXaZnGrzK/gWt4jFYnJxcamU85MolVONgEe0KCSmVDlUotPtsGHDii+Wl/6aPC5fIMtL92lV8MUy901ElJwVTum5Rf9ft92ZTnV31Cb3He7kvsOdmm7vSX3+8qWjwVdKbe/Q6ca04/TY9/abf54uXThHzepISF+/+NB4xsCIICyfYzePV3oovLa2Nlt1vLj7ctu2bUSkGW6c7wB769YtCgwMpBo1ahS7f7169ej8+fPUs2dPqmPpyrZZUti1tbE1RfkG0KX1AWRgYFCsTK1atWjBggVERPT777+TgYEBLVmypNSwd45PQ2xIGuVlyz5pn5zTbQUiy1VAS0/4fkGOKkVx00REBB6Phxz+PPj+oo0LfkCNOt1gbGEPANi3bx92S6NxZthUdh/Gwgqy2AQ8/GFeqf0VLN4XGh6D0PCiMnw+H3w+X8M3QS6XF5FjGAZEBDs7O2RnV04xy99CosEA+L6aaZFtpTkx579tF3REBcC+bWdlZbFv6iKRCLVqqQvqLVq0CA0aNICzszOkUilOnz6N3bt3Y8OGoknwLPSdcb25Bb67eQaL4qujn0MS9LMiIY24AD3PceAJS04oaKxjX+z6YQ0XorGtDwYd3o1MqQgr2vfC1x5tSj1HUYmRMBYnQlunMbuucEbYLbtXwaOFenrqVXwAhCkC1GjaEt90fYVfF4Tijx//h6tPg3HjcSBiEuNB6akldQcTExM4OjoiNzcXbm5uOHHiBORyOVQqBSvDAODx+VAqlRDpGkCenYHc3JKn9VQqFUaOHIkOHTogNjYWkZGRGhYNDw+PIvvY29sjPDwcADBz5kyMHTsWb968gRjq38Fu3bqhVq1amDNnDnr27Iljx46he/fubH/P591GRmQIJk38CZcu+cGlugv09PTgUbcuFi5YAAsTEygVco1EcXl5eahevXqJYe8cnwZ14riqa2GpwrNVVQO5TFliNAzHl0F+xd2HDx+qv6e3xevXaufg16+fYfjw4QCAgKsBGsoKAKhi3kB+/2aRNpkP0GFFYlERR8rC9OzZEwzDwMrKCq9fv2bzVFQkkblS/JOQhpHVzGAmKnog9+7dg5eXF1usb/LkyfDy8lIXXwTYB19B8uXv37+Pffv2wcvLCx07dmS3Z2dnY+zYsahduzaaN2+OI0eOYM+ePRgxYkSxY9QR6mJxLU8AwInXARBs+goGpxYi/eKPxcqrVErIZTnFbsunlmVL3B27EWZ5TbHt6tNSZQEg6PVZAEDjmu00jsPDwwPr1q0DALx8vRQZoeqEJLnx+1DH4QgGfvcK35qOBgDkvGKgn66Dzg5tIODxwZSSRjQ1NRWBgYEIDg7Go0ePoCwmZw8B7HpZVnqZnCSVSiVq1KiBN2/eoG7duli8eDHOnz+PunXrFluVOV9ZAdQlAQIDA3Hz5k3s7LsKANCyZUv06tUL9evXBwDs3r2b9YPh8XhgHPTwnH8IeXkPkZObA6lUiiGDB+Ppg/tQqFTIkclw9fw5zJo1C9u2bYODgwNcXV3RtGlT2NrawtnZGRMnTkTdunVx7dq19x4fR8VBRFVZX+GmhN6HQq6kyGfJFd4ux6ejtOmhylh4vI/bXyR6N2VgZWVVoefC4lIgWVwKpFpXH1PEe3KwfE5USiVtuXqcLC4F0oR9C0g5R59yFxpTzlJLUirkdPvSLHrgv5Kun/sfLZnrQo0a6pCxsXpa5PBfh0pt+/uZ04mva8xOo3Tu3LlYOe/vzahaNSEJhCCRmCGJLo8YBtSxhxEdPO9GAGj2XAvaG9CVANDSNb9QvyHdyNTcmIQi9VTfD836UZr/fcq4dJeau3vRsE69ynQPHDt2jHR0dAgA8R2cS5Vl+AKaOHEiKRSKEmU6depE9evXJwB04sSJcl2Lkv5/hgwZQoA6/0zBqb2XJ4OKlTcwMKC6tWtRn04+ZKwjKVZm9uzZpFKp6OLFiySRSOj8+fPlGivHx/HmRQrJpZ8u4zlR+Z7fnIXlPfAFPChlRZ0rOb4c8qeHiAj+/v7o3LkzrN5Wfe7XzwyrV7fBlCmT0ct3dIX0pyrj7SIUCuHm5lbE0VAmk0EsFkNXVxe6ZaynVBYUqndv4wGNXGH3ifOvlJU3SdHwOfs3ZsrV0zsNhPHI6r4I0i4LoJ2dg+QN9lDk7EKKYg1yBcegFGbByVGEH0epC/u9ePhnac2jXrVqEOkbwaZJmxJl9u3bhwu7klC/twl++r0R6jQ0B8CDroEISr4h5GK183CGwA6NavoCADatOoj0RDmOH/0bL1+8BACYahnjbuBz8Ju6QWCiD30XzRDiHxq/C1O3rV6TdbAOCwuDvr463Jx5m/8EAGpb2rP3hK5XJ9j7noRR9bpITExknXfVOzHQ09NDnz594OTkhCZNmuDRo0fQ1tZGeHg44uLiEBcXh6ysd4VASyL//+eFbwCe/vEAz4/fQ/CR29j6pzrHzIQJE3DlyhVW3rGDGw791QJHjzXCwlm/qLPVzpqJP+bNgZGpGXh8Hub06lTEspOWloZly5ZBJBKhU6dOWLNmTZGwd47KhahqZ3PnFJYyINIWIDerdFM+x5dBUlISLCwsMGXKFAAAw2sMLe0IXNGR4/CSTUXk3eo3LFf75Sk1YGZmhszMzCJp4H/99VfI5XLk5uaiR48e5eq/NAQ8BmNszWAlFsJEVHXd12bfu4EgbQcs036DN63qYFCvP6DvMRYG7mOQ0nIAdDNyUD8wHU6mi+BovgpT/heCvfsSMHeRespPLnyIBwG/l9j+2NFjcfb8Hghbji9R5saNG/Bq2Biv65rhtqEbAi5FYMyoCWBUWnC16YoBrf4GANhq90NWjLq8RWpqKtzc3NCxY0c4OjoCAOZdWoeQgBA8WXoemcmpiI2J1ejneXIY+znq1Qv88ccfANTTcLGxallF7BtWJjguglUyVLkZ7Pp9+/Zh/fr17xp+O1V04cIFHDt2DH/++Sd7T02cOBFWVlawsrLCsmXLSjwHhRERoBeTBZ2bOdC/I0XQ0vMAgJhbIciIe+ebIxCK8PrJN3gY5AMpT4iObVtj1py5GDJ+Uqnt54e93717FwsWLMDkyZM1FCGOyodUVXtKqOr+alUhLJz0Ef0iFXa1TD73UDg+EmNjY2zdupX9vm/vSezbC4jbvYbx5gNIGdUXAGA/8keQZwMc926Jmi7OZW5fVcCK8T5iYmI0vguFQigUCvz2228AACsrK3WYagViLBQgVirHpeQMfPWJEsaVlzs8M/SSvcTAtn2KbDNutx6p1gNgdLAjhE8foVrf+UVkSMkgVbER549cQ9uuByEUFg2VbVW7Caz19yGkhDE0a9YMe/bsQdeMsXigfwo91k9A4JGT0NLTtHjlJykEgJSUFCxfvhwAoK2tzTrDypvr4urLewh9HY4HTx5p7H/59Y1Sz0Vx8BkGSiLkPL+G2NQ3kCWEawrweKjZvDPiHvmzvirh4eEYO3Yszp07h+Dg4HKFD6tUKtw8/xj2bx9kih7moHQ5TC+pTYmil1LErL4HxY+eMLZWV3AWEA9SBhAqZGjUum1JTRcadtnC3jkqD6KqnRSVU1jKAJ/Pg1yqhEpFFVKsj+PzUTB6KD9Nf/fu3TH14GEs69ublYvYshYA4FnA6VVbWxv2xoZ4Hh2L3l3a4q9/Lhdpn4F6Ml6bx6CVgQ4upGZDheKVmHbt2kEsFuP69etIT0/H119/jb59+8LX1xexsbH46quvIBKJKu7gAfxga45NUYno/ygUem9zsBQcXXGf85QqjKxmhrnVi8+IWtG0VsYggGcFUqnAFFOEUFvPEAAgSwwtdv8aNeaCVEvAN3qCgNND0LbL/mKLGQpKsS/3798fSUlJmDJlChQqJYKVj2Dc1hh5MXl4lvAu0Vv+/WNnZ4fo6GiIxWLk5uZi7NixrPJSzckRYjdXiA5ugoexKx7GPC++U4ZhLSNODVsiO/IlkoRiKN9oOjgrWUdbgsjCAbL4cM12VCq8uPo3+vXrh2rVqiErKwtr167FgQMHsHz5cvTu3ZuNcioY4aPeVaVxrl6/DMGgPiMQEv4KSekx6N+lP/Ys3gMAyG6QCSwBlj3ZhZHHZgCLNIfh4eyKGw/vlnyS34NKpWLLAXB8Iqhq52HhpoTKiF1tE4Q/Snq/IEeVJiAgAF26dIG1tTUA4Pbt2wCA37/rhdOnTwMArLt+CwDo1asX1q5dy+6bm5uLxLQ0ACiirIgZBqICyiwxDHRMndi3e4bhFQkX9PPzw+nTp5Geng4AOH36NAYPHozY2Fi4urpW1CFrIOQxOFW/OuY4W+N/Dpb4n4MlpjhYYqqjevnZ0RK+b5dpjpaY7mgFFYDn2XnvbbsiILkUIEKCyAh/3zparIyWTS0kiF1hlXAB8pz0ItslOubwcj8NXnp7QO8eLv/Tp9hoGgvdkh+GV65cwcKFC7F+/XrcunMb/edOBZ4KoEgi3Eu8jsOPNS0jSqUSurq6bK2ngunuw8LCULt2bZgbmyFVWnS87w7+3RjzMtORmp4OJu/tvVMCWU8CkK9aFlZu9+/fDysrK3Tq1ImNDLK0tNSIcirIP9uvYf04P2ye8zdSk9Nx8fBd7J17E1pKI/T7djDqetSFqZMpzp49i9atW8Ohprpidf2G9bF1yQacHLwJt3ZfxHc+XcGAweCe/SDR0UVsbCx8fHxgb28Pf39/3LgfiDcpaXj69F2k1oABA1CjRg3o6+tDIpHAxsYGO3fuxMCBRSuqc/yHqTTX30/Ip6rWHP44iVRKVaX2wVG55FeePXr0KAEgZ2dnsrKyYiMzAND8efMIAE0cN5ZqOju9i8YASKKtmRDO3FCfWuiqozmsTIxI/21kR+FFSyihBWO20v79+0ksFqujP95GqWhpaREAatWqFR06dIh++uknYhiGRo0a9blPFxERDX8cSt8Fvv4kfe29oY4Mqn4+gF69eVmiXPztU0Sz9SlmpQ/Jc7PZ9fnXMZ+rZ8bRRT8n8j89okgb0w/sIQD0jc83Rba1aNGCpkyZorFu9+7dBAZk2MiCnOfUIgC0YsUKCgwMpEaNGlG7du2oX79+xV7/du2+IlOJUZkjxbQMjEjiWv2jos0KL926ddM4noLn6sJft2ntaD/a+PMZWjPmPK0ec47WjvajLbNOU9D1F0T0Ling4sWLi22/i0d7Clxwjmqa2RKP4VFGegYRqas3Fydvb2/PjmXgwIFkaWlJIpGI9PX1ycHBgXg8Hp09e7bEe4Cj4ol4kvTJ+yzP85tTWMpBbpaMol+mVGofHJ8OANS0aVNWeclXWKb9MIoAULNmzcjLy6v0kFKAHCXaJADI3NycAJA2n0+iEuTzlRUAbL/FLe3bt6eaNWt+7lNERGqFpW9Q5Ssshx/4kcWlQBpw+hApFfJSZVVKJUUs9Sblr/oUubwTu76wwkJEdPbQN3TRz4lOH61Hrx/9za5/FfOKAJBLPY8i7derV49+/vlnjXX79u0jhmGKvV5OTk6kra1N2m8V2mnTppVLmSh4XwAgs/7NS9+HxyctSfHKMQASSXRp8eLFJBKJyNjYmBo3bkze3t4UGxtLmZmZRc7VukmnaeMvp0ipVFJMeCLtXnqe/t5+lRRydYirv78/GRsbs6HW+fsV/PxopR8FzTpDzpa21N2tHfXu8S1Vr16dGIZhsx+3bt2a+nbpRGuG9qEjR46Umt3Wy8uLZs6cWep9wFGxVHWFhZsSKgdaOkJIc4smc+L4cmndujUbOhkWFqZeKVSb1quZmiAwMLDIPkOGDGGTZvEYBiIdAVTMu2y3uUolCseUaTM8CAQCSKVSdjrqzJkzbIiqlpYW9u/fj0ePHmHXrl24fv060t5OP31uKruAa1D4E6y4fAjj0tR1bZY3agIev3T3OobHg93Us3hj/S30E6/i9O8/atTBCQoKYpPbXb7vgd8XCiEySMPzlzMQHnIXBw8exP2A+wCAyOhM/LFxFS5evAgAmD59OhQKBTZs2IADBw4gLCwMGzduxM8//wxDQ0P0798f8w+sg/P86qj9ZxOMPL4cPt/3hVKpZB1EC2YKPnbsGNLTUhE6zQ+Xth8GAMzu8D/88MMY7Ny5Ezo6OqhWrZrG8SXuu85+NjIygqOT47spRb4QlgOXIS+n+CzI2s2/guvRq1i8cjVkMhlSUlJw+/ZtnDt3DlZWVhg0aHARPwWVlA9jay3weDxY2Zti4NSv0WVoC/AF6qSZ2dnZ0NXVLdUBlq8rwrOIlwiJi0In17Yw1NLFzJkzi82mC6gd4GfMmIGbN2/i0aNHGDZsGIYNG4azZ8/Cz88PL168QKtWJdeQ4vgP8gkUqErnU1lYiD6PBspRcWRmZlJgYCAFBgYSABo2bBht2bKl2LfUFk2bEhGx34V8PpnqSmjfvn3vfWN21jWkU46O7Pfm1tVp/oJ17HeBQEBGRkb08OFD4vF4xOfz6eTJkxQWFkZHjx4liURCxsbGn/lsqRn6KJT6B4VUXIMqFaWmxtHxu2dozOl9ZOl3nywuBZL3yaOUm1m+/y+VXEpHh9gWew2GDBlCRERDhgyh1q1bU+izI3TRz4mWLbcqVl5HR4eVb9WqFc2ZM4ecnZ3ZKbvCi6mVBdXd2obcd7hT7W0e1HxOf6pZtw4B0Kijk2+BuLhmP0X5BhAAmtNjHn03ZyMRERkYGJCnpyfpv91H20mbzLqY0aAVvgSAXN3cyNDQkG2vbp9RNOrUY7L3PUliuzpk27oLTZgwgXbu3EnGxsYkMrMki0uBpDN4FEmatqGtw/dRo5rtqY5jE5rbfy8ZGZhSy5YtNca2ZuxZOrDar9Rz3bp1a+rVS534zsjIqMjxvfz7AfX36EI1napThO8VCjl5g2JiYsjc3JwMDQ2JYRiysbFhLSz5bN++vdjzu3Xr1nLdCxwfT1W3sHBRQuWkPGGrHFWPe/fuoW3bd2GW+RV2AWDatGmIjY3Fy2dPcfPOXXw/dLDGvnKlEklZOejfv3+RdvOjg4x0dZCalY2QrDR0ykpjt4fnKTBn1iSIxWLI5XIoFAqcOXMGjx49gkqlgra2NsaOHYuEhARYW1ujUaNGePPmTZF+PgeEisvNEJX4Bj/fv4PLYicAlnCHAv+jV+hc3QNWhq2gpVu+1AGMQIT6rtWR/KsAxnOLjxrasWMH+1mWJwM8Z+DcmRpo3eYWxFpGWHHyIFZf08WoJllQqVQa8rNnz37vGOIy0zDuzG946XABGC4HJqnDcv39/QEAR48eRXp6Ohq3awjv7j0BAKuCNsCgxma89L+C3NxcPHkRBsXb0gK6Siv88tV4dOjQAbuxBC9evgIpFWoLC8PAAjkIuXcD0iQZQEoIJbps/hZfX1+Y8fnYw6TB5+QR1F+4Gt80csPq+4kwM9LGvluL4OM5CFk64ez4pbkyQMmHRK/4iLRevXrh6NGjGo7Lo0aNwpIlSzTksk2VOPL8PGrWrAmHpW1BS97Jd+jQAQkJCUhMTAQAbPa7hol8vkYNLh0dHSgUCsydOxe5ubmYPHkynJycuLBmjndUvv5U+XwqC4tCrqRwzsLyrwEA9erVi/UlmTZtGhERJUSonQS3rlvDygEgC3MzAkDtmjRifRWWL11MdSyEZKHLkKEY5KijTqtvZWFJAIj/topz2zrf0sw+28mjRmO2PT6fTw0bNiQnJycSCAQaFhZTU9MiPhSfi8GPQmjgw4+3sGRlJlO3k3+RxaVAGnv+CP19629SKZUf3W74xuEknWVECmlumeSf3N1IF/2c6Mzhr4iISKFQ0IwDf5K970nq/ccGCgp99EHjmHByNVn0syjR6talSxeqVq0aASB9AxHV6L+IJnboW6J8vjN4aQtPYkC2rbvQ06dPadmyZcQwDDVt0pTEZhZkuGgNbf/nPEU/CCQPDw9yrFaNunTuSuv+d5Ia1fiaANCIb36lP348SWtH+9GzwNAix7R69WoSCIpWi87398r/TES0detW4vF4GqUlALWf14gmptTUQYcs9QQk5Jd8PM2aNWP7/v7776lDhw4fdC04PgzOwvIvIj4sHVbOBp97GBwVyIABA9g8FDKZDEFBQUhJVIevbzl0GrdfJ7CyqRlqnwG/W3fYdf/7eRoAQEsAiAQ8hCuEAGSw4GshFoCALwBBgTjFUyw8fAwqlQoMw2DBggXo2LEjLCwsMHLkSKhUKg0Ly+jRo9lig58bIuBCcgZ2x2iG9Rcu5FfYCFPw+43Ilzicqw2+tiMOWeahlVvPChufXl1viGIPI/LYYth9N+e98rXqj0Lk8U0Ao76efD4f87/7Hh72l7HorAG6bYqEpc4jdKwFjGj7FayNrd7bZlZWFsKfh0HXVRfxiMewYcMwYcIEtsL1gAEDsG/fPlY+I12GjH3TobSyg4RhoOQLYF3NFGHh73KjFJcPQ8fAEFYr9kD+ErB9thfXTx/Bm6un0bz5Nbi6uqJmjRoIhwDSxHjIZ05CfmnJ/IKJETExGDBwIGSnMgEAUq1EpCmiYGFvgpoebYtU4k5NTUXt2rXh5eWlYXmKiopCYbZv347q1asjLS0NNjY2ePzoIeQKdb8EHtR3BIPedXTwv6ZiMCMvYtiwYdDW1satW7cAqDMMN2/eHJs3b+bysHAU5WM0o0WLFhEA1gOciCg2NpYGDhxIFhYWJJFIyMvLiw4fPvzettauXUv29vYkFoupUaNGdPv27TKP45OFNXPWlS+ewj4s+WGpAEoMSS28TGrtTAIeSCIWlkmex+OTlpYWMQyv2O1isZg2bdr0uU9Nifz66g1ZXAokywKLxQcuL55dqfgBKpX0ZnZdyvzVusy7nDnmSeePdC2yPjsvhw5eP00jNm+m6tOPktO0EzTyzz8pPi2x1PZKK7B57Ngx1o8m4MYyct/hTlf2/1CifH4xRnt7+1LvK7FYTFr2dcipYz8iIspMTyfTmrVIp0tv2vHXUXr8+DE9fvyY/tm1iwQCAbk6OdG2bduKbauwv09BipMv6MOyYsUK1uJy4sQJ6tixI9WtW5eNfGIYhvr370/169cnc3Nz6t/eiwInVaMffviBunfvTs2bv4uIsrS0JCMjI9LS0iI+n09btmwp8zXl+HiquoXlgxWWO3fukIODA9WtW1dDYfn666+pYcOGdPv2bQoJCaF58+YRj8ejBw8elNjWgQMHSCQS0bZt2yg4OJhGjhxJhoaGFB8fX6axfCqF5c3zT1/JkqNiKe3BMmzYMOrSpQs1btyY7H1PUuPOA6j91x2KlWUAMjY2pk6dOlHg7Xvk21qPjPTVIZ9CoYj0xdpkp6v+UecxfFo09BBt+cmfxnZcTD8PWEGhoaF0/vx58vDwoMaNG5NMJvvcp6ZCUalU7JKlUNCFyHB6tKET0bKaRNKsCu8vYv9Motn6lPbiVpnkL1xwoot+TnTj/GRSKor/n45PjaPf/95PrjMOk9uMw7To+BHKzMkuVjafhzER6imfBvrkNr6NxpSJXJZD3bbWoaE7GlBekD89relKT2u6kqelMTk5OdDctuoHfMuWLSkwMJAiItRt8QUC4js6k46ODsXGxlLP/uPJvM9vNHfZehJZuVC1Ft/QlSv+1GzJWhLXqUfd+vbXGNO5Awc0piH5fD4xDEMMwxCfz6fXr8sWsv4+xbyg0tOwYcN3CkuJijyvyPf88YnFYurRo0eZxsVRcfwrFZbMzEyqXr06XbhwgU0mlI+Ojo5GLD0RkbGxcamacqNGjWjcuHHsd6VSSdbW1rRo0aIyjedTKSxRz5JJLuMUli8Vf39/6ty5M+sbMO9tgrjifni/WX6FLFw8y2RB0dfTJScjhsQCATk5ObF+ChYGZlSjRg3S09On4X1/pHtnwmjN71vIycmJRCIRWVpa0rhx4ygtLe1zn5pPQ/h1otn6REH7K7xpWVosZc00p5TZTiQrQ6TRtTP/o38OetBFPyd6EXSgVNmoxHAau3UtOU07QZ6z99HaswcoTybVkClsuWs/pi85za3BKizTpk2jVu1cyX2HOz15fpykQVfpiL0DHbF3IGcjvWLvq3r16hEAcqlenXjW1UhbIqHY2Fia1+ObYuUF5pbkWb+Bxu8xEVHo7dtUs2ZNauzhwVpdunXrRl999RU9fvyYpFLNYymOzMxMjb5WrFhBAGjz5s1ERDRt2jQaNGiQxj6iArll6tSpQ25O1WjgwIGUcWI6ORgLadCgQeTt7c1ai/KVli1btlCvXr2ob9++7x0XR8Xyr1RYBg8eTJMmTSIiKqKwfP3119SpUydKTk4mpVJJ+/fvJ4lEQq9evSq2LalUSnw+v0iyp8GDB1PXrkVNtkREeXl5lJ6ezi5RUVGfRGHhpoS+bApnuZ0/f76GApPvdEtE9MzXn26MOUg96/ekaZ2mUQ1zF+pXt5PabK2rdrj1sBTTz81EZK3H0Kn+2rRnfHuaOvon0tLSom4tOpK5rgkxDENCoZBatWr1GY+8iqBSEa1rQrS90/tlP4CYc5tJNsuQUmbaUfLT91tacrOT6dzp6nThgjPFRd59r/zTyGf03Zo1ZO97ktxm76QBSxZSx06d3usce+zYMRrQvw/pOWuTW1NzNplacbIiAUPff/899enTp4gFIn8RCgSkr61NNQYvIXvfk2T9ZwAZbz5AsxYuo/r161P//v0pMDCQgoOD1eclKIhmz55Nz86cYY9lyJAhRTLflkZJlsm2bduy7RWcSlKowymLLBJtMd1b8z07VVSczIsXL6hmzZr0008/lXl8HBVDVVdYyp047sCBA3jw4AEWLVpU7PZDhw5BLpfDxMQEYrEYo0ePxrFjx9gqnIVJSkqCUqmEhYWFxnoLCwvExcUVu8+iRYtgYGDALra2tuU9DI7/ID4+Ppg/fz5MTNShs4sWLcLJkycxePDgIrK6NrqwNbDCPO9JaOXSCIlZSfjn+WUAgLHEBhKRNhhLN2x+xEef1nVQu98fyDL+CpfvBkAqleLEtdPgMzw4OzhBLBbDzs7ukx5rlSTuEZD8GrCpXynNW3UYiZT262HAS4PywKD3ymtJjCFSNQLDIzx59R1uX/oflEp1yr+CNacYhsHx48fhZuuKurVvYVaT3yHSSseFu1IEK3hYs2YNAKBly5aoXr06GIbBxIkT0XX/TwCAtNxsNP6WoFdfH89uJuDVq1dsiLBYKIQqNxtpCfFInlcNdo7m2HHgEA4dOqQR8gsAtdw9EBgYiK/atQOIELF/JgxkIdAX5yFlVF/M+2UK7t+/j3379sHLywsdO3YEUKCY3UdkACwYWlynTh02oWKXLl0QFBSE3377DVeuXMH06dMxePBgZGXnQCwWA1DXOLpz6wYcq1nC2aUGNgQBYwd0xuXL6v8nR0dHNG3aFDweDwzDYNasWYiIiMCIESMKD4PjP065FJaoqChMnDgRe/fuLbE8+axZs5CWloaLFy/i3r17mDx5Mvr06YPHjx9XyIABdSbK9PR0dinOY52DoySys9XRIaNGjQIAVlmOj49nM6Ta/OCJxTe2YNrVZbAbWQNCXRHc69UFAIhMJACfQUZ6BnLlKlwOIfyy/wrWHN6Lp8+fQcATwEhigN7uPoiPi0dOTg66d++uUeztP0fSa2BLO0DPEmg1pdK6sWjVD3FevjBj4pFw9eB75dt02oNmje9CnuCBTNVx+J1pjqS4h8jOzoaHhwfGjh0LABg+fDgYhoH8iRAO+lGY0SYQ33ROBDxH46m+uqK3vr4+fvzxRxgYGGDnzp34p/8qAMC6O39iV/pTtDazhb6+PlatWsX2L5XLwdPWgYWNDYwVGUjM4oNHhKHHH2D4ycf4/uRjDDl0D73W3MCB+evh6emJs2fPIikjA9Xs7NBVJxHPBn4NUlvLNZbw8HCNYw3LuIbLl/+HS5cnY/AQI4yf4IDLl/+H5JSwUs/Ro0ePMHHiRPb748eP4eXlBQCYPHkyvLy84ODgAACIjY1FZGQkvm3THnK5HIA6+q5Rk2YIexOHx48fY+vWrdi4/zRGjhwJADA3N8etW7egUqkgEAiQlZWFGzduoFatWu+9fhz/LcqlsNy/fx8JCQmoV68eBAIBBAIB/P39sXr1aggEAoSEhGDt2rXYtm0b2rVrBw8PD8yePRsNGjQotjooAJiamoLP5yM+Pl5jfXx8PCwtLYvdRywWQ19fX2P5FAjFfEhz5J+kL47Kw8fHB4A6NTig/tEF1GGZXl5e6nBiPoNLulk4mxGNff6PkZCQwIZeBj17hJzcHISGhUIqleLR8ye4fv06W3VZrpQjNScdq2/uQmauOhlZr1692Dfe/yThAYBKDnx/ARDrVWpXYodGAAB5VCCUstz3ymvrGMP7uyOwlMyFirJw//r/WGtcfgmGfOXWUFINOSoGuln+GGx7FhYGz3Hwjvq3a8SIEejatSt0dHTQqFEjNiV9gjIU2qRCq+rdwTCAgUQLfD4fI77/HrGxsYiJjMTt1bMAALycbDjZ2kB4agNODm+HW759YeO/D60eZUEkVUKWlQtZVi5IqoBnnboaJQCKQ56RCHl2EgQCKUj/b8gVJyGTXYBMehEy2SWo6Dj27JkJ72/awdLSAgzDYO/eLez+cXFxGD58OFavXl1qP0SEN+FxWDB3MaQ2Evjdv1XEQgSoK54fO3YMenp6ePXqFQB1xXQigrm5OWQyGU6dOsUqRBwcBSmXwtKuXTs8fvwYQUFB7NKgQQMMGDAAQUFByMlRZ2rk8TSb5RfKaFgQkUiE+vXrw8/Pj12nUqng5+eHpk2blvd4KhVLJwNEv0j73MPgqCDc3d0BqGu95P8lIuzYsQMH4lKQMvVXGK/8E9tr1oRH/UaYOHEiWrdujYkTJ6JJ/cZo0rgxdi7ZjLZt2yIiIgLR0dHIzX33gBw7diz27dsHY2NjzJkzp8gb738GaSZwdQUCFJ7o0n+kxjTL+7hy5Qrq1asHsVgMFxcXjVwggDq/yKxZs+Do6AixWAwdHR04NOsCZm4Gbp9YDdk8W8hTY4ttOzY2Fv3790eNGjXA5/Px56F70EIDkCialcnP5pr/d9KI+ej6dQhmzVH/ntWwfIWsTHNW3sHBAS4uLjAwMsDz5HcvN2NT06F1eT6yMjIwZeIYKJVKXDqyDcm/ucBqqzs84pYDAHKzM/D69WsolUqcPn0as2bNwoY923D2wV5cvCTHlik3sWXKTWyafA3XrtyDKL3k2mZv/Nch4F4TvMwdiabNDkEszoFI1BPfeD/GN988hs83jyCXayEn+xJMTR/gh7HqqaOQkFkIDNoIQO0CcP/+/SJt6+vrY2Dbn8HnCcDnCbB2tB9OLH6K44ue4ta+M0XkeTweLC0tMXjwYAQFBeHbb78FoJ6WzbcIFX5p5eAowsc6zBR0upXJZOTi4kItW7ak27dv0+vXr9nsi6dOnWL3+eqrr2jNmjXs9wMHDpBYLKYdO3bQ06dPadSoUWRoaEhxcXFlGsOnrCWUGp9N4Y+TSKVSVXpfHJWDv78/Ae9ySfTv31/j+9GjR6lGwCPqdO8F/XbmEpn+dZ5Eevqkoy0hAFTLzY10JTqkraVFDMNQ48aNydjYmAQCAfH5fE0HSaGQtLW1SSQSlSu30L+KmCCi2fp0euOvGk7PhR3tCxMaGkoSiYQmT55MT58+pTVr1hCfz6ezZ8+yMgsWLCATExM6efIkbd++nXr27MnW/jn2nTbRbH1689ecYtsPCwtja/B4enrSxIkT6fzRjnTmRG1WJjk5mQCw+UvGjx+vdh7VVefgGbFgJtn7ntQ4nhYtWlDzli1JZOGijvKppkvVTNWRQB287KiFm9pJl89jiAHISMiQnkDT8dTOzo42bNhARETLly8niZY2rR8/j3ZOXU5N3eqRRKx2/Pau16bE8/fqb1+aMUNdQbx1Y1e6f+9PyszUzCcTGhpAgYE72QUAzZ5tRSdPNadHj4qPnooMiaX1vn/T2tF+VMvFg/p0H0C3LjyhW+ef0K3zwbRnxQlq2LAhebrXoaioKLp58yYdPHiQmjZtSvb29rRjxw4KDS2aVZfj81PVnW4rNNOtUCjE6dOnMW3aNHTp0gVZWVlwcXHBzp07NczhISEhSEp6lzXzu+++Q2JiIn799VfExcWx87SFHXGrAobmEgiEfMSHZ8DS0eBzD4fjAyjow7JkyRJ2rj3/u4II6QolkmQKHM1VAnI5+Hw+LMzMEBUViYTERDB8HqwsLZCTkwMjIyPweDyoVCqIROp6LHZ2drC1tcXDhw+xdOlSjB49Gh06dEBwcDBsbGw+27F/FqLUmYF9un8HH4uy+yVs3LgRjo6OWL5cbX1wc3PDtWvXsHLlSnh7ewNQZ0bt1q0bOnXqBAAYOnQovv32Wxw9epRtR2TqUGz7Dg4ObA2ebdu2AQAUiAHDkyH47nbUbjiMnTY0MjICAOzfvx8AkJOlvmciU+WAME+j3fT0dA2fvddvsgCop7LdWvXAy5cvoR2ehm7duuHChQuQpSQjs5A/bGRkJH777TeMGTMGbm5uyMnLxeITWxAXFweBQIDqrjUQG54ECaOFqEtBANFbn1p6+5nw7EksNm1KRosWLWBoYoJ69b8vcg4cHVsCaFlgzRDweLUhELxBZNRmaGurHdQFAjFsbZuCzxfg+f1IqNJ0IDDOg6GZLqzsTdG4fW22Ba9WLvg74CBOnDmCuXPnws7ODkKhEDExMRg+fDiGDBlS7PXg4HgfH62wXLlyReN79erVceTIkVL3Kc40/uOPP+LHH3/82OF8EkTafFDyh3vcc3x6AgICsGjRIty7d49VlvMVYlNTUwBg59T5DANlciLSdqxFyoO7SIqNBc/QGDGONcCLjgYRwdjYGKmpqUhNTcXZs2fZfvLy8sAwDO7du4fbt2+jY8eOyMzMhKWlJbKzs+Hn51dsVNK/mhenAYeWQDmUFQC4efMm2rdvr7HO29sbkyZNYr83a9YMmzdvxsuXL1GjRg08fPgQ165dAwAoVQziW62CRZuyPyAdbachOuMXxGXOx/1NL/DXyWAAQI8ePQCoHUjbt2+Pixcvqsd46CByUzcBAC5evIg169fj8bMXAACexBB1q9vjp8mTsXLlSsTFxeHgwYNs9OOBAwfYfvOLZzY1MMFrEQ9t2rTB1atXIRaLYWBgACMjI0RERGiMtaaVO1KlEvx9KKXIcahUSqw5dwVDhhghIcEBGRmZZT4HdeuOg1K5A1pajxEROZpdn5Y2G56eg0FvC8AOm/M19ndYWmR/kViEAW2nQsIzxs6dm0BEUCgUGDNmTJUpN8HxZVLusGYOgC/gQSEv3ieHo2qSnZ0NU1NTDctevrPtpk3qB86jR48AAMlJSWgoESIxLBSJsWr/B1VaCvL8zkAqzUNycjIiIiKgra0NJycn6OlpOpESEaytrdGtWzcA6gq6bdq0gVwuZ9/Y/zPI84CIm4CqZF+LkoiLiys23UFGRgbrKzRt2jT07dsXrq6uEAqF8PLyYhUaPo8ge3S8XH26NvgO1gbqh2p4+HHUqVNHY3tGRgZ69erFfs+MDIdedbV1IeHSJljEXoaBrgQ8bX2QPA95Uim+/vprxMTEIDExEXFxceDz+dDS0oKTk5PaOscAFnw+AOBedjoSExPx119/AQB++OEHyOXyYiuEm9npwamGFrr1NUH3fibo3t8U3QeYocdAc4QpjsLSQh8+HT8sIKFN621wdtoJZ6edsK2mdriVK3Lhd+QuXl5NBVC0llRBHr24ixMX92P9+vV48OABjh49ilOnTmHevHkfNJ4vmeJC5EujoG8Vj8fTUND/63DFDz8AvoAHubT8P8Acnw8fHx/4+Phg9+7dYBgGK1asQHh4OFavXs06hOdHXIwaNQouTZpCauuIeoa6eJwtB8/UHF/bWePk9q1smzExMexngUAAhUIBhmFgaWmJlJQUyN9OJWlra+PQoUMQCoUwNDT8pMf92eGL1Iu2UaU0f+jQIezduxf79u1D7dq1ERQUxP7AJ4qqwzzlGuRZKRDqll1RdKs/BMnnw2Dh+CeEspca26ytrYvk1El9cB0A8NczBQDASDsDYPRAKgVSUlIglUohFAohFAqhVCrZJTQ0lG0j7m1xQhURRCIR5HI5EhIScPjwYUydOhW+vr5FxinQFkPP1gzV2nhorL927RoOnf8HOzf+DOAPpCaGghGalPn4AUAiMYaDQwsAQEZGNJ7fc0PiCwapoYkgFQ829fgQikp+fOw7sx7tmnZhc6nUqVMH2dnZGDVqFGbMmFEkMOPfTH6I/PDhw9Gz5/uLfkqlUpiZmWHmzJlYuXLlJxjhl8N/566pYIytdBAflvG5h8FRCgEBAWjWrBm0tLTAMIzG283kyZOLhGoW9C15fesmss/9g1dWTgAAqd8ZDWWlMAqF+mElEokQFxcHGxsbWFpagmEY9O/fH3p6ehg2bBg6deqE6OjoEtv51xF8FJCmlzmUueDb6KtXr3Djxg2N7fHx8dDX14e2tjr3ydSpU9GzZ08sXboUDRo0wNy5c9G6dWsAgJZnd9yOyoNPPQfo6emBYRiIxWI4Oztj3rx5bPK2iPB9SE27jTdh53Fs90B826Mj+n2/FWNGR+P78ZrT23w+H1ZWhas3a1oaUnNVUOWkA0oFsrIykZaWBmtra/D5fI0HNY/Hg1gk1Ng3PwmmtbU1AJRbwc3MzMSgQYOwZcsW2NvXBqn4kKkeISez6LRRmVGpEBUwCckPXaDMFEPbnNBjVOtSd5HK8sBjikaLAmDP+3+F/BD5/GnFgiiVyiLnI9+3avDgwTAw4PwkC8IpLB+IoYUEDA9Iicn+3EPhKIHs7GzY2dmhc+fO7LrgYLVPQr4TZcHPXbp0YdeZmprC1NQUegoZmJCXEL1Vego+cAQAalWrxoZoAuq3I4FAgKioKMTFxUGhUGD79u04d+4cNmzYABcXF2zYsKGyDrnq4fLWByXuMZBRfHhxQfLfRvPzNuVP0+Vz4cIFjXQHmZmZ2LhxI9q2bctaV06cOAEA0HPyQmKeCHJZLpvtdc2aNViyZAmWLl3KZqh9E34cAKDiRyOHHwAow7BgwQJ4eNRFi+a6Gv1HRUUVyRHCN1Tni1rRQQyarTkFk5OTCy8vLzx69AiGhoYwMTGBnZ0d65wtlamdd3W01FlhExISIJPJEBMTA5VKBV9fXyxfvhzz589/77kD1AEN4eHh6NKlC1y9vPHNN6G4cCELl/xvsLmyCpOVlcWmqQCAsLAwNoFidOgz9Pl6EnZdWorm/QQYt+ErfD/7G1Y+KysLiYmJCAoK0kiM2KBWS5y8chAHDhxAWFgYLly4gFmzZqFLly6s4vJf5/79+1i8eDHOnz//uYfy5VCZ4Uqfik8Z1lyYF7djP3mfHOUHb8NFZ86cSQDI19eXXZf/2dnZmV1na2tLNjY2ZNmxO5nz+dRMIiF7A20SMAzxoa5AK2QYEpdUE0Yk0ixMJxCQh4cHVa9eXaPmyn+CU1OIZutT5vGpGgUCV6xYwVYlJipaQC//PE6dOpV27dpF7u7uGvV5iIjc3d1JIBDQyZMn6cmTJ7R8+XISCtUhx15eXmRtoL4OtWrVUof3vj33PXv2JHNz82KvXZ06WkSkTtnQt2czuujnRACoefPmREQ07KdaGvI/9/Ngw6gTFrgTEVGLpo2pcePGtHXej2xbNjY2ZGNjQxMnTmTTQbRs0YIEPBDv7X2kra1NhoaGbNtz5syh5cuXk6WlZZHT2rp1a+rVq5dGPayDBw+yBQ4fP35M/pf+pmbNJNSkoSc9fvyYwsPDqV+/fmw9o4kTJ5ZYJ0hfX5/EIhEJBWIyNTKmlKR3Ia/FyZubmNCJjTvp2LqdtGHiPzSg8zBydnYmLS0tsrW1pbFjx1JqamqF3lpVkcJFVguG7+d/z87Opt9++41mz55Nvr6+Ra5JPoVr9VU2/6mw5v8iIm3uFFY1AgIC8Pvvv+PGjRtISUmBUPjO7J4/J5yQkMCuy7eaFIzCYMs9xCcASiXSc3LAMAwUBcy38hJM23w+Hy4uLnj69Cn09fVhYGCAuLg4uLi44MiRI2yCxf8M3ywGYgJx75of2nb/nV2d7/Q8ZMgQ7Nixg03rXpBZs2bhyJEjWLlyJXR1dfHjjz9i7dq1CA4OxtatW/HixQsoFAoMHToUGRkZkMlk7L759W60BAx7bW/evAkejwctLS2sXLkSY8b8n73zDo+i6sL4b7Zl03snBRIglNB7DUU60pSuIIKAVFEBKaIgoCLNgqKiiIIoAirFT4oU6TX0GkoogRRCet093x+bXbIpFEVBzfs88+zuzJ07t8zOnHvKe4YUau6xY5l38u8A+4+YtCFHjkSazEp6a8X04s0mXyaDUZiyPoYdP1fhysmL5GQbGbh3H6/P+o74jNtk5eRga2tLXFwcly9fZtu2bflqMd1LmZmZFofimjVrMmvWLOrWrcuNGzfIzs5Gp9NZNCGpqakoikJoaCjjx49n1KhR6HQ6CyEiQFyMFgcHFYZsWypXrsylS5cK+UdERERYmSWWLVvGgAED+Pjjj3GzUVj7xRV+ODibadOnM2fOHFNrRTAaDWxc+g3nd5rMWDZOt4i/aERRCVq7mzw/IJxvunxRaHz/7bgfn5ULFy5gMBho3rw5q1atwsPDo8Rn5X7wl4tPfwMepYYlKS5d4q4k/+3XLUHxMGdlNmtT6tevb1kF+vj4FLk6LG7T6fQPVP5em16vF3d390c9RH8/ts8WmeIskp1+36dQDLkceZqyiRMnFrmKXbdunQCSnp4uN14Pk3rBThbtjDlDcIMGDazqvBF9QJ7t7Se2tsiSr0vJpYvnpVatWqIoinTp6C2A9Hm60V3nNsjPWTzcHcTP30+8HNylSXBtCXQuOpOzRqMRnVYt8zvaFHnczc1N3n//fQGkTJky4uvra9X/QtcOCipyvG5eOyWtWjlIi4j6hcYx/+q9oFYgPDxcRESO7NgsHw7eLC8OGWTRMImIXL16RRrXrCuezv6iKIq8MLC/Vd379neT2rUDimxru3bt7mf6/xUoOCfm31u2bJEpU6bIvn37ZMqUKZKamioihTUqJRoWa5T4sPxJOHnYkhSbQW52SdTQ4wKzk9sTTzwBwP79+y3H8mtWACunNrOjY35kZ98hBdMAD2J9X7lyJRs2bECjMWnhNm3aRE5ODmXKlHmAWv4lSL4OCOxdCEWk6XjQ0M+aNWvSsmVLbt0yOZMOHTq0SNr+d7fEciA6mePHjwPQpk0bwsLCOHjwIF999ZWlrHdATfYe0NGsuSN+fjouHptCQkICarWaocNN/jTJWUeKbEv1GtUAuBabhqdXAHPmzcHO3Z6YlDiikwr77WjUWmxt7TAYDPx01oCi3NHymf1bevbsyY0bN3BzcyM1NZVhw4ZZzpf7SHSYH2PHefHR3DfvOp4FfYeioqLYt89E+BeffJ2Nm7dYyD+NRiPL312JOsuPZ7p1oWrVqtjaOxeoUZg/vysxMTGW7fjx46jVap5++um7tuXfDuPZDdTd2p2qnkY8PT0BSExMfMSt+megxJ7xEFC6mieXjsTjEeiAk7vto27Ofx5mk9DOnaZwU19fX4uJp2BOK3PCQrAOUy4KuQ/Yjm7dumFnZ2eJIGrZsiUqlYoWLVo8YE3/AoQ/DUe/g01TIPYkaGxAaw8R48HW5YFDP68ePUqft9/Gw8ODa9eu0aFDBwYOHIirOpt9Py/D3kbLy08157sDKQgKfqV9uX7xOhs2b0bv5o5dUGmGT5xEi44dKeXmxr59+zhz9hIjRpmE1lzjbWJiYsjNzaVVaxPvypqfTeRrdnYqSvnbcPacyXRz+FCk6ZzcXE6dOkXPp3tatdVBZ8cPvT9g9K/vcDrmLLmGHFJSTM62v50x3Rve3l7Ex8cTFxeHl5cX33//PfHx8bi6ujJq1Kgiw5rvC1I8V0p+mMP+zejVqxeNGjVCjEZyDQb69+vLhAkTADhzcB/6rHCeahhOi+cdOPjqscIVihEXF1urBLbLly/Hzs7uPyewZGRkELl7G5zfCMBvKz5nfqyRY4mzSRw+jSpVqvDjjz8yfvx4y/Mpv9kvOjqatm3bcurUKaKjoxk5cqRVxu//EkoElocAlUqhTHVPok8mgJi0LiV4dCj48nuUPiPZ2dn4+fmRlZWFSqUiPj6eDz74gOHDh/+3KPoD68L4aFg9BI4uBxtnU7izSyDUf7HQCzM/zALowYMHickj8vtx1iz8DAZaODiyEGjfvj0pKSm88/ZMUpIyUCsKizcdIjuP3yTe2Q+4jk3pELJuxGB0cSczNZU61WuQGHsTtVqNu7s7ZcqY/FVOnoknMzOTHj16WBhpf183giYdPiQk2JVjJxMKtdPW1pb09HT69+/PpUuX2Lp1K/bVqmMMqUibxYVp8e0cVcx5z5fJE28RGxuLoigEBgZa+Tds2LDhkUTV/PDDDyxYsABXHfy69DrrNy1k2rRpvDTyRfavvYDeWU3nl+ri7hNc5PmCQIGw5kWLFtGzZ0/s7e3/hh48Bji4GICoXWvo3ftby+6PDpiE1Xrhvuw5FoWjoyNJSUmcPn3aomnJH4lmTj7p7u5uyQD+X0WJSeghIrCiO3FXUjDklrDgPkoUNAnZ2NgUW9ZMy3+/0KjVqO9BepU/9NnNzY3r16+TmZlJ9+7d6d27N5mZmVbZyf8zUBTouhBejYImL4PaBsq3sSqSmmrKu3Px4kXL59GjRwkODraYKwAuZWdT396ebnlOtp9Nm0aYqysHz17hxLWb1K4SxpNduqDValFpNOSczAuPvnIZNxsdWedOIUm3iYsxzU1ubi45OTks+jyR8+ez+H51FLa2tqjVaiIjI9m2bRsfLzUJKcdP3XHk9u3ry9Jvl+Dl5cXEiROZN28eu3fvZu/evQQEBOAaH4fKkIb3b4fRVq2J35NtmTliBW3mdeOLb6oRGmqDRq3B0dYNF3tPmrZoTnZ2NrNmzeLkyZN/Wlix+NLen6LFgoiICAYOHEjZkDJULd2IyRPGMXPmDL5+fTupce407F6qWGHFBKMVE+6+ffs4fvy4hUjuPwGP8gBUjvsRmeKEnFyDnN3IxvU/0aGchgvX4gBo3KgRR49EUq9ePdLS0sjJySlk8tuyZQuBgYEcOXKExYsXFzJ/Aly7do2+ffvi7u6Ora0t4eHhHDhw4O/s8V+OEoHlISO4sgdXTv0JkqYS/Cnk94UwU+bfzdSTnPxg5H+5BgOGInww8iO/wHL79m0URcHZ2dnCdCp5uYj+szDmwrZZENIc3Kz9ecwPWHME0ZgxYxgxYgQpKSlWxFtpjo6o6tVjRuxNANYfOsS0Tz4hO9dAt5qV6Vneh++WL8fV1RVjbi6SJ9ikp6cTGxuL0WBAsbWjbJUqpiYZjfTp04fTp7IYMvgaO/fEk5GRwbJly6hevTrdunWz+BsEBwdb2hLzbQwTX5vMqFGjCAoKYvz48UyZMoVTp06xaNEi4uLiKHPpEr9U8aCesz1Ply7HsYi5OPpfo0bpdzCKChcPI94BPgR6lGPvjsN8sHA5R87HcuPGDSZ9soech7AAekB5BZVKRdy1S5w7YCI5zExLJzfHSG6GA7W6ZBBWs+HdKxCsNCyLFi0iPDycOnXqPGBL/sHQmjXtClToCOXbQdmWpGfm4KqHUjYmze/b77zD9709aNzQxC908eJFLly4wObNm4mOjubixYu0b9+e0NBQbG1tSU5O5rnnnuPll1+2XCoxMZGGDRuSk5ND7dq1sbGx4cyZM/Tu3ftfJbSUCCwPGWqtCq1OTXpy9r0Ll+Chw2wOevHFF++rfP4w2IcFs88KmHLf/PDDD7z55pt88cUXLF++HHd390JJ/f4zMOTA111MQkuLwonwIiIiAFi9erVldZmanUqnVzrR7ZM7BH25isItjYawzp0t+0LyyNheHfI0SVla3n7zNRITE9HY2eFUsw5jxoxBp9Ph4+ODvYMDkptDj2EjAKhatSpbtmyhehUnvL01KApMn+5N1PnzbN26lc2bN1syO9vZ2VnYbgNfDORA5D4mTJjAnj17aNiwIU93f4qMnASaRDTCy8uLuNhYqruXQqUoJGXEcSIlifo+1Skb3pJYbRjlwvVkpCVx5fY5nNSeZJ6y4dipONQObnxzKYGNu69w8UpykZrbokjf9u/fy7HIvSTGXuGNN6fx9tvWjub3In0D+OWXX5j91nsc3wdRiZuZ+c5cwoPqU6nNWeo80Zl7QTBiFpPS0tJYvnw5zz9f2Cz2T0dRzuKWOTlhSutwMWwIkeVfIfrqVQCWr1jJyjMQeePOc+J6Yga7p0SgUwkXoy/Qrks7OnfuTEhICPXq1cPd3Z1169bh5uZG3759qVGjBnPmzOHXX38F4J133sHX15e9e/fi6+vLhg0bOHPmDB9++KEVSeY/HYrIP58nOTk5GWdnZ5KSknBy+mPJvh42og7FElLD61E34z+J1NRUFi9ezIgRI+5ZVqfTPaDQYs6rWzyefvppS/I6AEVRsLe3R1EU0tLSOHz4MFXyVvaPC1JuxZN6KwFDbi5iNCJGQYxGDIYcYs6dxWgwPVxN/CQKpg/Td8xfMaU/QMmXGC8vJYLl+7mNBMavw2fod6zKiWXKrimWNuzpvQd7rWmcXpz3IttdtluOpZ5K5dI7lwq1u2PHjqxZswYAV5WKLBH2LZ/HyCnv89vpwqyuDg4O5OTkYO/gQJK7FxJ1FmOen8uQIUPQyW4+/uIo9evbMnmyD82anSYjI8uSZ6p69eqUKlWK8PBwfvnlF3x6+VA7qwZa9HTr1o0BAwYQ5O5E+0rliVPnsGJLJEFBQQx/dQAzZ7yH1h+cWztT/2pTunXtwYlbb3Pz/HlmvxmDiPDzzz8jIjzVpw/6Kk/i3KCHpe3dAjyYPayuVX+2bt1Ks2bNCvWzVSsHxo7z4t13YrlxM5fVyzZQpmLjfHNoDVtbW1xcXCw+Qj169GD7li3E37qNt48nZZxrMGZMJzoNeJ6YmBhefvllDhw4wPnz5/Hz8+Opp56ycgStUdOdw4cKa5rbtWvHunXrCu3/p+KXX35h586d1KxZk65du7J69WpcXFyKnJM2bdqQnZ3Nb7/9BkClSpUszNtFQeOgIdA/kMvnL2MwGCzPkIyMDNzd3UlISCA8PBy1Ws3hw4cxGo1Wc1u6dGmWL19O7dq177s/0ScSCKz0YHmn/iwe5P1dIrD8Rbh1PQ2VWsHF2+5RN+U/h+Ie4o8C48aNIygoiBEjRmA0GhkyZAgLFix41M2ygojw4XPdyc4jLCsOzl7eeT4RJs2HWW4TxOQsIWLalfdIkfyfeccyU5LxtM3kmS82UOXroh0Ij/c/TuCIQJxqWv+XK7hVYMWTKwgcEcjtfbdJ3lvYnOel1vDbstn0HzeLyKsx2Hp6Y6gfQdU+z7K7W5tC5RVFQURo3Lgx+/fvJycnB4PBQNmyOuLiDDg7aWjRsg9ffHF3AjStTsP0jf2Z1PUrshNy7loWwNHREVdXV67HXMXeQaFiWB1SUlI4d+4c/v7+uNauTXxwVz5qV4fUjFze3nKOGu6OLHq10T3r/nVNUxSjL/7+vQDQ2dgTUrEZqmL8YX755Re2bNmCj4+Pxcww8oXncc4sh73ehXqt3Zj+1g+4hubw3fcruXTpEnPnzsXDw4OlS5eSmJhIy5YtefXVV9HpdFSsWJENG1piZ1+N0JBX6NSpE25ubmzcuJHPP/+c/v3737MP/0QoisLq1avpbNb63TgOnzSEgb9BqZr88ssvTJs2jatXr3LlyhWaNm1agDwQ6gzyY9+i65QfXh4JEFL+l4LxuJGbN02mT09PTzIzM0lJSbGcM3z4cD799NO7Lryeeuopq0VUcSgRWP4GPI4CC8C5AzcJqe6JSl1iefs7sX37dl599VULj8TfDZVKVSh8GkzJFa/mqYUfJ+Tm5DC/bxca9XyW0Dr1UalUKIoKRaWg0mhQa7TYOjoVuTJ/UJz+fjbrVm6hQU0/Ko6aRUJGAqWdSzNlyxSW7VgGQNSUKOoPrs+cgXPQO+n5Pe13fv/0d5IuJLFhwwZUdiqM6UbQgMcTHrg2duXchHMAOGu1JOXk0L9hTSLVdkT+vgOVzgbJzqJdu3bs3buXAQMGMHf+fHKMghYhJ6ewgOHkqOWtKUHcvJ3MxwtyefbZZzEajdSsWZNhw4YRGBhIixYtUDlksXDpEuzL26PWK8SuiadRozDCFEcuxN3it9NR6LUa+rxWnfr1GpEUl42Dg54yYb6AcCNmBVpjKj2esF5pD/zuOzYfVXNxuimkusGEX3HTaXiuUWmCfB2oVal47e2va5pgo6pDRPv37nteihPyWzaM4Klao/l213tgp2br1q2WY0XdD0FBQVy6dIk9e9vg5toQke6EhYUxZMgQli5dSkxMzL8ySmj79u00bdoUV1dXEhMTTYJL/bLwcQN4fhMEmLQcTZo0oUaNGsyfP5/g4OBC/DmeVR2JO5LC/379H++deY99X+0j7Ugahtzieb7MOc4MBgMajaaQwy6YnknR0dH3jEx83AWWkjfpX4gyVT2JOhz3qJvxn0N8fDzh4eGP7PpFCSsqlYpr165RtmxZbty4YYmGeRxgyHthu/j44e4fgKuvPy4+vjh7+eDo5oGdk/NDEVYAStU1aTl2HbxOzunDlHEpg6IoNFc1J2pKFFFTTGac3Qt3U792febNmMeI6iOwy7CzOE/3f74/AD5P+pB6IpXzr5vMNeUcbfnyu+/yrqTGt2ZjFBs9qrz5+P333xk8eDDTpk0zmafs7XnvPdNLvWrVqixYsMDSz+aNy1AxtAaN6rjzypjhLF++3JJBV61Wo9PpeP/992lfwR6PXD2+YovsMxG//f77KaZ9/Qnlq/ljo9OSlZtLj8bxBNv8RNVSvxDishrlxgKUGx/jq8STo7r3C9xRo+Z4ZiYvbzpFjyX7i7zHLFDurEHvl5AvPz1/48aN8XYzZRq31Wsx5upYuWaZRViJiIgo8n5o166d9QtYUShfvjwiwo4dO/7VIc1paaYkuC+88MKdnXlOx9kJ18m8eZXM+JvEXLvGrTiTT5El/Uc+xB1JQWen4pm+feni0QWthxbuwZJhWmCY5sPX1xeDwYDRaLRKt2A0Gq2cdP+xeAjMuo8cj5Ka/16IvZwsKbcyHnUz/lOYN2/eQ6XT/yu2KVOmPOphsuDXdWulgq+XeHl4FEuHXxBbtmyR6tWri06nk5CQEPnyyy+tjufm5sqkSZMkODhY9Hq9lClTRqZOnSpGo1ESzx6SOd3byi9ju91X+1JSUgolTQTk008/FRGRen3qCSB1X6srIib687GenrIyKFjKBARI7969pWbNmtK3b19LnY5e3oJGI99++60AUrZsWfH39xe1Wm2Zozff9JZNm8vI1MnBAkhWVpaIiDg7O0u1atXk0O71Uj3QV3Ra0zlOTk6i0arlvQ9Kyc8bQ6VyuF50OkUUBdHqVKJWq0WtVknpMkGybMXnEpdyUeJTLkt2TuHnw/PLl0vwhBWW32np2XL2UqJMWLBPgsatFYPBUOx4/W9NQ9my9lURuZOmYtWqVfc1t4BUD6sqzzZ/WQK8SktEeBfZ8M0PVmUSEhIkJiZGYmJipH79+tK3b19Rq9VW98Cu3U/I2bPTRURk7969AsjevXvveu1/Oszja/5c9ekXUr+USrQq6/9+NW/Vgz0vtA/vubNu3bq79uFxp+YvIY77i+EZ6MiFyDgcXPWPuin/GZQrV44ePXrwnWW1/fhArVaTlZX1SMjAikNKcjJ+Lk6MGjSYIWNevWd5c5ilWc2/efNmBg4ciK+vL61btwZMUQsff/wxX331FZUqVeLAgQM899xzODs7M3LkSEr76rh0Le2+2nfgwAErc4U55Pnbb79l0KBBRF0xaWUk34ry3bg4wKTdvLDMZGo6dvI0gX1PkKsoiLs3tnp7xo4da+lT/fr1iY+Px5DnhPvZUoUtmjFcObAVvWMST/20AY2iItdgICMjg5WL30VRQ2BAKRJuJVDKx5HTUSmMHXUVFAWjwdQejVZF9Ro1aN+2I3PnzqVpk2ZULFsLD4fg++o/gJ2tlrJBLni46OGy9bHE2CucPfEjYszBaDSgsYuBTNOK+26EfAWRm+dY7RLSCVVIQ9SnN6LRZdKsRwercvlD8nU6HdHR0UUw2N6Zi/9kSDOQIvYottWpGJzEkQvnLftd/CrCzeP0fqIxyzb+XnwFKkzDeG+XqPvGiBEjaNu27UPTmP7dKBFY/gbYOmhJTczCwbV4ArMSPBykpqbi6+vL+PHjH0uBxdHR8bESVgCaRzTl0urytH2iFXBvgeWTTz6hdOnSzJ49G4AKFSqwY8cO5s6daxFYdu3aRadOnWjfvj1g4i759ttvLX5FGVlGBEi7egb7UuXver2C2YTBZLcfNGgQkZGRdHmuC59u/5Toy9Hs3216AUyoXJ6E+JukuqXxzdO2lFvmhI+fJ1Hfz+VwSGOMSbfJuB6NWSmfm5vL779bvzxuxClkHY7j1raNONXsyJruHS3Hzpw5w/QzZ3Bz1FOqDNxOzsHZVYVaDXa2GjIyVeRKLkajEXs7R3Zs34VWq8XBwYFZs2bx5Zdf3nOc74aklDsOlkcPfkauzVKMBhtEVCiix9W54gPXefiCiWL/uM7ABX0OqSoDQeGeaDR3f26dOHGikLlHxAiKyhLSPHXq1Aduzz8dbp7OxCRncC3R2vSz/YgphPyuwgqQLzL8oeHChQv4+/vfMw3J44oSH5a/Ab6hLsRE3X7UzfhP4MCBA1SvXt2K2vpxQlJSkoU74XGB5PlDqO7B4GvG7t27C/HItG7dmt27d1t+N2jQgM2bN3P2rImL4siRI+zYscOy2m/Suz/pOWp2fDjpD7c7KiqK6tWr8+lznwJw49sb1GnQBIAEVz2Z3mlcTTP1zS87hhqZJ/jui0Wcndif9OvRVnV16NCBF154wcr3KTcplsRNC3Gs1QnHek8TNG4t3hsPUrNRY0aNGsXMUR3xdnTi5IlM4uMNHIk00LNBQ9ZMn05WVhaNGjXCwcGB1NRUXnzxRTw9PZk8eTI3btxAURRGjx5dqE+LFy9GURQW9ezJpRlPoygKev0d7axObXqDVZ+52bJ9ftCT3HQvnmh1klatj/NEqxPUaNjvgcfzwF4TwVjmb+9z+d0OGIyJODgXz+ERExPD0aNHSUhI4LPPPivQHxPT7YoVK0hPT+eDDz7A1taWgIAAXnrpJTIzM4ur9h+Fgjw4mzZtAqB///507NqGWymxeLp7Wp1zv/8z4F4MCn8IZg6hfyJKBJa/AbGXk/Eu/fhEL/2bYV6Nb9my5VE3pUg4OjqyY8eOR90MK4jR9FRU7vNBeuPGDby9va32eXt7k5ycTEZeaPT48ePp2bMnYWFhaLVaqlevzujRo+nTpw+5yfFsXPSJ6Zrae5tKi3McrVy5MsfijlF5cWUqL67M2z/35ZtnTVwjW85cYtcVA9svGxj9vzsvx9tv1uZmYho/DnqfFhXqEhQUBMD58+cLkZst/eYb6gyejXP97igqk1bs16qlcTBH/TlWxSOkPB4ueS8kA6QpLpTt1huAhg0bkp6ejsFgIDc3ly+++ILAwEAURbFKClgQTk5O9PrkE0qN/JSYmBguX75jA3qmXTmmNAhhQp0yTKhTBi8li0z72/c1bsXB/NI9cvCwqRt5BHXpeXltXnvtNZ599lngjsOtoij4+flZct/Y29uTkJAvv1Ie0+3bb7+N0Whk6tSpFvbf7777zpJI8Z+Oggskc/qIgIAAALxcShEYEGR1jpVj7iNAUYLyPwUlAsvfgLTbWSVZnP9m1KpVyxIB8jghOTmZGTNmEBVVmNTsUUHE9IJSVA9P//z999+zdOlSli1bxqFDh/jqq6947733+GT2DFZPeJ6EDB11awXRYtJn96zLzF5sfhmYybYGDBhAuGc4yQdNfCwOMUfpU/oIAGUDXJjUREdVHxVJNpU4ecuGxUfB9Y0DzHhjAslpadjqbBgyZAhg0tYkJydbPcznzpnNgCoOACRuW8zNFW+weslKEm8l8uOPP/LeRx/x+++/k5xu8sWxs9Wzbvdmtm7bQb169Zg5c6Ylmmfx4sU8+eSTXLhwgTZt2nDrVvHpOxRFwc7FBY2DKz4+PlbCoZODjueeDOOFrhV4oWsFvNxMQoKtpnBI8p49ezh9+vQ9tRnml+7CeR8DkJ4X8ZKdd15MTAzR0SaNVFEh4GCaox9XrSRu23fEblyKzfIEzm84zZkzZ6hSpQq9e/cmODiYVq1a0atXr0dGOfCwERERwfvvv4+Xl5eV5mTatGmm45W7sOLrNVbnPGoepmeeeeaRXv/PoERg+YthNApqTckw/51ITU1l+fLlvPLKK4+6KYUQFhbGkSNHLCuwxwFmk9D9alh8fHwsRFZm3Lx5EycnJ2xtTYL5q6++atGyhIeH88wzzzB61EjenDqDW7czeapvGxq9+hFqm3trWAomszSHzpp9JqI/iOb2ntuseO8k3nNML9l1By+TkC4YjBAfd43UXCHTqKDRaJg/fz7fHFjD2iPbee2114CiX8QHDhzg9w2rqK2/jSE1kcwLB3jzlUEcPXaUy5cvk5CnXTBnA7+ZlIBWq2PSpElERkbi5+eHm5sb9vb2lmSJHTt25MUXXyQ7O9vi3FsQqampLB8+nCsfDKFTp053ZUNVa1TobHxp0mZGoWPh4eH06NGDRYsW3XV8zVrJlZt+wrFmR9541+RvYva1Wrx4MVu3bsWQnc5HfeuzpXEYr3dswZPVKlheIEFaLV1s9MQPfoOEEW9htyGHCldtWbp0KRcvXrQIKBcuXGD9+vW0a9furm36JyExMZEyZcpYtFBwJ3lnasbtQmYdtepPuI7m3Ud/Bl999dWfruOR4S+OWPpb8DiHNaclZUns5eRH3Yz/FLZs2fLIw5aL2vR6vWg0GtmyZcujHiIr3LwYJe91by8x58/eV+jr2LFjpXLlylb7evXqJa1bt7b8dnNzkwULFliVmTDsOfFwsJdzK+f+oXbebV4ntPd7oLloEFztnmXeffddERF5+o2l4tl5gth7lxbFxl4UjY3YegVJnSeflaCgIGlet6kA0qhevUJtfu211yQoKEjmzJkjjo6OkpqaKvPmzROdTiejRo0SEZFt27ZJhw4dxNfXVwAZOXKkdH77bfHp84Z06NBBnJyc5MqVK5Y6r1+/Lr169ZKyZcsKiiLlm7UodN2mTZsW2acKFSrI4cOH5fLlyyIiMn78eHnmmWdk5+nD0nD61xI0bq1889NyAUSlVkunrp3kt41r5ZfXesmxhhXlZPkwOd69vpxe+q7UqFBObHQ60WjUUq9aRRncq5MkHN0gCWd+k9N16sjNuaZ5nj9/vmi1WtFoNALIkCFD/tD8P84o7t4s61dNrpy+9cifPfm38uXLF9uPxz2suWTp/xdDp1eTlZF774IleGioVasWO3fuZPny5Y+6KYBppaooCpmZmXh5eTFz5sxH3SQrpKakcC0xiROnTgGm1WFkZKTFDJDfhwFMOXcuXLjA2LFjOX36NAsWLOD777/npZdespTp2LEj06dPZ926dVy6dInVq1fz6fKfqOzvTUqctXbmXjD7YvTubfINCQsLo1u3blZlantrkFWDERHWr18PgLf9HROXSqXi2W5dCXAz+ZLtuhRJswp1CAwMtJQxa0H8/PwAmDx5Mhs2bKB3bR9Utg4YnX2wL1UB3wEfog9vxb413xCbnIHezqQlSklLK5RIcOjQody6dYu33nqLtm3bsnXrVmbMmGG5BhQ2eTVr1gz34GD0QZVYtWoVnp6eLFy40FI+KysLT09POvasjb13qSLHbNWqVcTExLBy5Uqr/adOnaJ69eq8/rop8aTZ3LMv6izXkp3pXS2Ovp16AmA0GPhp1U80f6IDz8/6AVUFH7yXzaPSd7ug5pMcOnWWrOxs2rfvgI2zJ3qvYNzCn8CtXDNUdvYoKpWlvwsWLODQoUOsWrWKdevWWUwm/xZERERY7rv8WcWjrh8hIOzxyczu4OBwd9LBxx1/vfz01+Nx1rCIiFw8Eveom/CfwuOmYVGp7hBFhYeHS9OmTR/1EFlh5TdLimx3v379RESkX79+hdq8ZcsWqVatmuh0OilTpkwh4rjk5GQZNWqUBAYGWojjhnRqKm93ayux++5OXlUQBcnPxo8fLyJi1da3+jeTDuV14uvrY9n3ZDnTil6tmH7/r4+dVPNWiUpRLGW0Wm2R85R/K126tHj7lhJAFI1OtK6+Aoqo7Jwf6D7QarVSpkwZmT59ujRp0sSiYckPMGm48hPHPfXUU9KzZ89CZau8vlRsAipLzTZP3JVIzlyvoiji4+NjuUZ+zF27XEJeW21VHo2NaFxNmqtBvZ8qVGfnzp0FkICAAFEURRwcHGT06NGSkZEhZ5s0ldj3P5BGjRrJK6+8YnXe119/Lba2tvds8z8R5vvzUT5vlHz3d8FNo9HI2LFji21/iYalBGht1GSkPEhG4BL8GZht8o/aGx8K5xU6fvw4ffv2fYQtKoz6derwXvf2xF6+aJWDZPHixcAdH4b8iIiI4PDhw2RlZREVFVUooZ2joyPz5s3j8uXLZGRkEBUVxUt9O6NRq7D1uHs+k4Iw+7DkX7kWRKZDAFW94KPp4y37fo82aTZVCpRzUzF3TxYGAU0+PwAv+zvO8JLH9RIcHEzDhg1xcnKibt26dOzYkXffnk6FChWoWrkibZo2BARjehL+AWUZmBdZNPalUZw8eZKtW7eiUqmYN28ex48fR1EUSpUqRXZ2NlFRUUyYMOG+ibsMBgPHjh0rMhTVVm3y1zkbZ0uHuYvvScPv4eFh5fAZExND7969KVeuHGM69iJ+o7Wvi6JS4WFjGpPPlv1giQ5SFIU2bdpYsmS//fbb1KlTh5YtW96JADIaQa0iPT29UBiv2TdGCnDr/Bsx2sPD6rf3n+RgUilqNPfwgbnbuPr6+v6jtVslAsvfAL9yLlw/d5v05BKh5e/EvRJ9/R0oqH4tVaoUAwcOfEStKRrmKKEH4of4A/CubSKVO7Lq7pmP/whqBrvwVnM97n5lLPsS84JjjALhXip2XzXg4hmCg4ODpUzrJncI1swP+tu34ti1axfJyckkJiZacgi5ublx/Phx1vz4AwC2tk54eThaQnuzsrLJysrit99+w97enujoaJ555hlEhBEjRgBYODtSU1OJi4srZEIyl0m+eZOsGxfo27cvly9fLvKeee+pcgS6Cr6OaVxJcihkWjLD7PDatm1bi9CXlhHLobN7sHN0oEa7J/Hw8sTZkMRPq1fw/CsTAVDb2vPK84OooNPRr18/hg8fTseOHVGr1Xh7e2MwGPD396dixYrk5uZiZ2dHixYt2Lp1KyKColLRsWNHPv74Y5YvX87FixfZuHEjkydPttTzb0R+h/R58fHWx4pxtL5fGMVArvGPuxgMGDAAnU73p9rwKFHCdPs3QFEUQmp4cf3cbWIvJ6OoFHIyDbh42+FRyuHeFZTgD6F27dqPugmAqR0BAQH8+OOPVK5c+VE3pxAsQtVfTNftFGBitD11+DgNz2++7/NS0zI4f/ma5ffNc4eJ/HmhVZn5X62mc1dIuxVT6HwB0o3uJGfdJEvtiOTeSUiqeJRDYQ/516S3k9NwcXEhJ9dAttHI/O27qOzpTmZuLg5OTrSq25Z1m1aRnpHM4cOHOHz4kKkNCz5m/oKPcXFxoWfPniQkJHDixAlUKpWF3yU/oeHBgwdZtmwZQUFBnD1/gY+2m0Ky57w/n7SUVLCxJ7lpQ3bt2kXFioWZaxtVbISfqwe5DhrijZpCNPwZGRlERkYyfcZbAPx8JJrggSZ24lk/HCLtehQZKUl82sWZG/oEPDJ307nrHfbV3KR4Xpk+FReViuz0DK7eSuTEiRPY2dmxc+dOFEXh2rVrlj4dPHgQABcXF6hQERQVkyZNQlEUJk2axLVr10y+N3n+Tf9WFMdi/NLQAVzcupEfTxVOevhHYaNWo3dwwMnJqchkigBXr159LBZvDwMlAsvfCL+yLpbvIkL0yVslAstfCDPL6qPGgQMHOHnyJE5OTpQrV+5RN6cwzMRxyl+rYVFUKsr42RAXmwnfdL3v8w5cyqXZV+mW31+u/JUvV1qzBV+5epUVJ2x4c1nh8F6jwC9nTavetJsp5GTe0XQu+mJJofJatYr0kPLknD/L5ZuxjG7a0Or4978sBUCtqNDb2fJEUH2G1OmF0t0bF3dP6tata9GIfPXVV7Rs2RJ3d3egeHX9pYTbzN9gokvXRwzDrVx9NLpk1k3tdffBAdRqyMrVImJEUVSWa0QePWJxVAa4fWQrt49sBeAN7RImX8giJU1op3bkdcUBfx8/yHO8zo80oxHNpo3M8PKmbUYmbdq0YcWKFTRt2pSuXbvyyiuvICLk5uYyZMgQPv74Y87Wqw8qUxj5lClTmDJlyj378U/E9u3beeuttzhw4IBF09apUyd++uknpr30Et3W/0LFM6cBSNm7ncGZWn7Md76CgiA4OzoT4FqRaD9/UiN/xZiZYinjYKMjNct0z7rY6enzZEdOO1Ugbfs2nPwVtv5u0gYC2Nrakp2dzZw5c2jXrh09evTg448/5q233vpbxuOvRonA8ojwT00+9U9CuXLlCA4Otk55/zdDrVajVqsREW7fvs38+fMJDg5+rNgmN3z2IQBqzV/zOBCDgdPff8vvew6SFA+qXD0Jz/yOu3vxtO/5EaEoyHzTd8UlgGkTXmHyDGtSwKhE4d2o8qArrC7XqDQWNfqJm+esjoWGhhIVFWUlSOQYjHBwL4pKxYBRo1nz3XJi83KvBJQpw5ULFwAwiNFEmHZyEz+e3ETQliBat25tSfTXo0cPAEuCxbtBl2/oh7b0pEHLQELdve55HoCNRoegouLklRiMGnKMpsoW7rx21/MCqzREfyuF00/Ox3bTa9gGlQYKCyyKTofhidbsjYzkcsx1Zj39NCtWrKBDhw6WCKC6dety/vx5Ro0axbRp0+ieZxL6tyMtj2TPLKwA/PTTTwB8uGQJ3Tzu0PIvPXyezwvIq5Kn20tKSSIpZTdeKd4k52RZlTELKwC30zP5aPkKVHpHgnw92bP5glVZM9P0qFGjWLVqFba2to8ds/afQYnA8ijx7/c5e2TYvn07CxYs4MaNG4+0HQaDAZVKhaIotGvXjv/973+PtD1FITc7Czf/AJw87+8F+aDYPno4B2JN6moVcFvjRNPFV9k/uRK2ugf3Y9A4ujN58uRCzoMHDh8psvzdbP7nz58v9pgYjSyaO8fyW6/X4+7kxDVFhTHP78dGrcPL0Z1ryTe5evUqn376KU5OTlYLklatWgHwxBNPULZsWVatWsWtW7cICgpi3rx5NGnShNMnjpF90/Tyccky4p1uQKvPAndTWPm1a9dYsuSONsicuyY1NZWyvr68UO4SCRkGAkr7o1FlMuId6NvSkx3p1QgLLc/y5cs5c+A3cje8TuWJOznt25m1y76xCBVqjRY7J3fWT+1AW8N2zj21grKVTe2OiIjA09ebn35LIMjHl6effhoRoXHjxjzzzDMWbVJ4eDhpaWm88MILPFWxEvzFGrvHAfnNcIqiMGfOHJo1a0b16tUZ078/P3yz1FI24y7Pe73OgdzcbGIT7x3yr7F1xFal5Vp08aalJk2aMHDgQPr160doaOj9d+hxx8MPUvr78biHNReHi0fixGg0Pupm/CvxzjvviL+/f7Ghqn/n5unpKd98842sX79eAJk1a9Z992Pbtm1Sv359sbGxsdR3L2K3LVu2SGhoqCW80cvLq1DY8dWrV6VLly6i0+nyQiGRkJAQ2b9//x8Y7bvj2z5PyYJOT8jhSpVk5/+2yfIdZyRo3Fr55dj1+zo/JSVFDh8+LIcPH77nWDdr1uy+5kRvYwp5rlq1qjg5Od29rF5/X3V6eHgImMjZ5s2bJzY2NnLixAk5fvy4qFQqCQ4Olnbt2smOHTvk4sWLsnXrVomMjCw2DP9uYeVFlQ8KCrI6/uGHHwogGzZskJSkWxI5s4Vkvu5e5D3UtGlTGTlypJyeXUvOzmsgku+51LRpU3nxxRfFXqWSoWGl5ej/loqISI0aNQqFyC5btkxsbW3lRPUaEl/gnvu342E9L5T7udfsXO8avqxWq6V27drSp08fCQsLu+8+PO5hzSUCyyNEekqWXD+X+Kib8a/E+vXrpUePHlK5cuVHLrBYHkR5D5hOnTo9cD+eeuqp+xJYLly4YGHU7devn0ycOFEURRGVSiX/+9//RETk1q1bUqpUKbG3t5f27dvLkDbNZOLQQfLll1/K+fPn/+TIm7Bx7Gj5sFtb+ezpDvJe9/ay/Mk2crJ8mFyIPC1Go1GCxq2VKT8dv6+67ueF3qhRIwFk7LSxhcqptBopW9YkmHVvEyiA6LR3BNlCQq2CqAPLiIu7qwBib29f7MvBUaOVQFeHIo/5+vqKiMjcuXPFxsZGSpcuLdnZ2UX2MTYlSYLGrZU3fl37UMa/4H1ydEIlOTzYXr4d1UAAmTNnjhXjbUBAgISGlhGZ4iS7tiyUbdu2SZMmTSxCWLly5UStUuSbgEA5WT5MtjYKl36BXmKnVsn82dNkwYIFUr16dVGpVKLRaKSqnb2sKMC/8m8HIE899ZSFL6i4zcz4C4gm79PLxfa+hBhbrzJyeNxWea5GN1Gr1KZ7WacTGxsb0el0smbNGklNTZXr102Lge7du0u7du3uuw8lAsvfgH+qwCIicukR3CD/FaSkpMjIkSMfuaBiY2MjAQEBlt9hYWHSp08fcXNzE71eL5UrVy6k2ShI17569WrL+a6urkUKLlu2bBEvLy8BE0nZl19+KVu2bBEHB+sXqq2t6eHo6Ogo+/btk5nPPCWtGjWwas8nn3wi1atXF51OJyEhIYU0NLm5uTJp0iQJDg62EMNNnTpVjEajJEadl/e6t5cve3aSr3t3lc97dpJt78y1CCwiIoOXHJDS49dKelbuQ5nru5EF1m1aQSpWsskTGu9HsESw0Ytarf7Tc9+uXTupXLmyBAQESJ8+fWTQoEHi5eUllSpVkunTp0turqn/canJJiHuTwgsBTVRc+bMkf379sna11rIln52RbavY8eOcvjwYXF3dxdPT0/5dWSwbB0dKD+s+r5oAc3VTtaO6S5rRneTn55vI8PcPcTb0VZUiiL2ep00qlRGPnixmwx0dxetWi2HDh16KPP7T0D+/yQg30ycJLtrt5FTC1ZYCyyewZbvZfKIC8M8NVLLVyV9+/QREZGmwVrxdzQJyXq9Xpxs8soHlJFBtbuLo429NKvVxCL8lC9fXgIDA+XixYsSExMjKSkpcuvWLXF2dpaFCxfedx9KBJa/ASUCSwmKwuPCeKtSqUSr1UrFihUFTOra/v37y969e+XChQvy66+/FtJsFGR3zS+wjBs3rpDAcuHCBbGzsxN/f3/x8vKSiIgIUalUYmNjIzVq1BC1Wm3REjg7O4uzs7O4ublZ6tTb6OS1116TCxcuyFdffSV6vV7GjBkjJ0+elA8++EDUarVFQyMiMn36dHF3d5e1a9fKxYsXZcWKFeLg4CDz58+X3e+8Je91by839+62lN+3aoOVwHLyukmjUH/GJsk1PByzKCAN+zYUhypFazzuNj9/9T1ga2srNjY2MmDAADlw4IAsX75c3Nzc5I033hARkYS0FAkat1Ze/3XNA/fbLNzmn8/8W7+qWjk2M0Ke6txemjZtap2LqIjyQc6KVK0SWuSxik1qW66blpIoO+pUksOVwuRw5TA5VDlMDoaHyYEqYbK3apgE+HvKm2+++VDm9p+AggLLrD5DZXy3hTK+28J73h8hroqUdlGkUkVTricfR7XoNcWX71Wlg6jV6mLv3b59+0rVqlWlbt26xWr1isK/WmCZOXOmABaK6YsXLxY7wN9//32x9fTr169Q+fyJ1O6FEoGlBMUhJSXlkQssRW0tWrSQvXv33lcfwLSCKlhHfoFl7NixUqlSJSlbtqy4u7vLwIEDrWjn8293s30DUr16dalUqZJVG3r06GH1n2zfvr0MGDDAqkzXrl3lqY4mE9B73dtLblqa5dgdgeWUZd9PkdckaNxaaTtvu1yMS32QaS12nF4Y+0LRL2F//wefJ7Xmwc+5y6bRaOTnn3+2tHf27Nni4+MjIiK30vMElv89uMBSlHArIhLzeS+RKU4iU5zkyvGdcnvPNEn8vKoceaeiDG7pJR+/3lWqVatmlSIgMztTbswoI78u6CPl55WX8vNM9938+fNFrVYX0rQVh5pf1RR3H3f54IMPHrg//1QUFFjGvFjYPAlI5cqVZW6nnvd936gVRYyvu4i9vX2xZerVqyffffedlClTRnQ6nfj4+MiwYcPk9u3bD9SHx11g+cNu3Pv372fhwoVUqVLFsi8gIICYmBir7c0338TBwcGK0KgotGnTxuq8b7/99o827R8FRQFjHg9GCR4OzBTl7u7uODo6PurmFEJAQADnz5+nXr16VK5cmVdfffWulOpgolUviDFjxmBjY0NoaCg//vgjLVu2BExEcJ9//jk5OTlFXl/yQnj1ej06nQ4be3vs7Owsx2NjYy115RhyuRwXT80GDdi1axeX4+K5HBdPxapV+XXjRrbs2cvluHh+2bKVLZs343DTFLnQtE5j1PnqLApPVvVj8XO1uZ2ezdMLd7Pp5M1CPCX3opsvCEeDI5UqWZPzNWnShMzsoseiKKi1GhQHJzA8vKSlarWaKlWqWCVbrFChAjdu3CA7OxsFU1RRwf6bcbdxKCp1wfB1u6j/5VnKfZCK6s1kZg1shvMvs3C5cpHStum8H5HD0mXriYyMZP78+RbKfb1Oz3NfRlOuzUtUqNAVnbvpvjty5Ah2dnY8/fTT99XfG+tvkJmeSffu3R90qP5RSE1NtbAXw53EoQDly1fmiWq96PF0L+a8t9dyTu3atYl4YxwAwf6eTGvriZeDmlYtmwPw/fffc/ilIGr6mxhp3WwV9idXQ6VSUa1aNU78vI8BNbvRrb1pvrVaLT169KB79+5ERUWRlZVFTEwMH374Ic7Ozn/TSPw9+EMCS2pqKn369OGzzz7D1fUOl4JarcbHx8dqW716Nd27d7eiwy4KNjY2Vuflr/ffDCd3W1ISMh51M/5VMFOUt2vX7lE3pUhcuXKF9PR0tFottWvX5v3330dRlEKU6vnxyiuvFNoXHh5OZGQkgwYN4uzZsxw+fBhFUcjOzsbGxsZCff7OO+8UyfsTGhpKdnY2WWlp5Fasatl/7do1fth3gO6rfyFg+3HqHr/KjDSFlJQU6hw8T93jV/mqeTcSG7ageYP6BPv60q5Fc3KefgaP2vVoUq8ptV4ed19jEVHei9XDGuKo1zBwyQHe+PmE1fHi6OaLw+zZszlx4rjVvu3bt3MzLva+zgcw5OQiqcn3Xf6+6jQYOHXqFOHh4ZZ9h49E4u7hwd5jR9kbeQT/XBUpl9QkJmcVOv9Bx+HMrWQSPEMo3b0L3kGeZHmX4VadJ0l79mscR1wk3SeQrwd6U79+fQYOHEhMTAwH9+1ErYLqTeoSXLomapUOVCahc9OmTfTs2RN7e/t7XnvZsmXErI5h5JyReHn9NaHyjwsOHDhA9erVLWy/Y8aMsWIzTk5PYO/+E8TujrTs+/LLLy1lLl2LY/IvccSnCxUqme6NyLPbqT73MgevmfhX4tKN1J23lbTUNLKup+G0MxNvBw/WbFyHVqtFURSSk5O5ceMGqampf1PPHw3+kMAybNgw2rdvb1mFFYeDBw8SGRlpoaW+G7Zu3YqXlxfly5dn6NChJCQkFFs2KyuL5ORkq+2fCkcPPcnxmY+6Gf8qtG3blvHjx/Pyyy8/6qYUi7i4OLKzs4mIiGDw4MHExcXdNblfUXjuuecoVaoUmZmZ6HQ6Tp8+TalSpcjIyCA3Nxe9Xg+Y/ofafAn/zDh7/rxJxaezQVPKtPJXNFrUdvbEnjvLJUVDqaR46tyO4TkbUw6Ut/Q5vGObQ9ddv6D/bT1D35zGW4uXUG74q6R9/zXuvoHUfunVB+qHt5OezWOa0qOSLzd33MRouJN/6V6JDwuucOfMmcP2zbuY2nsZACEhITzzzDMc+HztA7UJAFvbe5d5AGRkZFjy8LzxxhvMfOtt6pd+kqOfJXP+q0x6p9oQGqnni48PFzr3fhJA5oeNlx/Og8dxs8dQVG4e6INb49bua+zLPGkp426vQqfTYW9vz7prp1kyvS92WoXeEz/LK6GQdioRgOjoaD777LN7arg+/vhjnn32WdR2at4e9HaRBIk5OTlMnTqVkJAQ9Ho9VatWfSz5ie4H5kSrBTcABLo3Gkn9wJa8vXJwkeeH+ZTC390Te72e1Ksm7eR3+1cXWVZEyBXhVnY2n0WuIjs7m5ycHLKzs5kyZQq+vr689957RZ77b8EDCyzLly/n0KFDzJw5855lFy1aRIUKFWjQoMFdy7Vp04YlS5awefNm3nnnHbZt20bbtm0xFJMoaubMmTg7O1u2gICAB+3GYwO1WlViEvoL8Pvvv1utdB4n2NjYMHToUHQ6HadOnaJChQpER0cXWda8YiqKrTIuLo5x48bx0UcfodPpuH37Nh9//DFGoxGDwUBudhYqlYoVK1aQnX2HLdPGxgaA7MxMUKlw0NuQ+fMKADxcXQj29UGXkc6+zk9woHNLXnG357cli1EUhReaNcH5xjXWfvoJU19/nQWTJ/Ja7x4onl7Y2TswacrrKIpCkyZNKFeuHCqVqsiX1nvvvYeXlxdqtRpFUQgKCoLthwlPUTi5tzDZ3/LlywEKPXeKWuE2adGAdQcWAyYh4eTJk/y4/A8kXMx4+JpPV1dXbt26xbx579O4cmfqt2xGg1E+NBrjR63hpUi2AeVSGu8M/41ZL25m9tDNzBuymY+G/Mas6bvv+zpGgRwbFTfEHecihFWw1rjFnPgfm3dfpnnrCCqVrpBXQsGYZTKLeXp6FqqhIL799ltGjx5N27Zt8e3uS2BYYJHlJk2axMKFC/nggw84efIkQ4YMoUuXLhw+XFhQ+yehoPB85dplDpz/jW+3zylUNsTHpE25mZJJYkomObkKR44kARD1U2GGYg93D2ztbMnRCx+f3kt8UlyhMjVr1nzsMsE/dDyIc0x0dLR4eXnJkSNHLPuaNm1q5bRlRnp6ujg7O8t77733IJcQEZGoqCgBZNOmTUUez8zMlKSkJMt25cqV+3baeRxx6ViJ4+3Dxrx58x7QKVIlKH9NtIg5DNm8qdVqsbW1FQcHBwtxW/ny5UWkMH/G3SKdwsLCpGPHjmJvb2/hyzh37pwoGp1VuYI8IpXCq0jo+DcFzR2nXEVRxMXFRcLCwqRmzZpia2tracP69eulUqVKUq1aNUv73NzcZMGCBZJrMMig1RvEZeYHUrlKNUsYdvv27eWrr76yOHUWdLrt1KmTREREyNSpUyUsLEwqVKggdnaO8lbf5fLh4M2yf90Fy/UvXrwo/nlOs3Xq1Lnn3MdfTZEPB2+2OCP+FXP6R7bQ0FDx9PSUXr16iYeznygo0vnpp63avmrNWXlnxu/SpvUgcXf3F41GJ/6lysqLbWfKgN7zpX79+lZ1FgxtN+97Yn2keKzYIDYNI0SlvnNfm5/ViZ9Xk+QPSouzs3Ox7XWvHChlptQSQDp37iyAfPrppyIiMn78eHnmmWcs1126dKloNBr56KOPJCYmRirNryRlq5WVIUOGFJofX19f+fDDD632de3aVfrkhfT+U1Hcf7VCqVoP/V7ycPcscn9BgsEHxePudPtAAos5tFKtVls288NOrVZbOAVERJYsWSJarVZiY2MfvAci4uHhIZ988sl9lf0nRwmJmBhvS/BwcK8Qz8dtc3FxEUBGjx4tIndeOAU5NSZOnGjFdmveNHpTJMuwYcNMvzUa0dk5ir02r4wa0bpqReXtJ5iFFkURxclVPLx9pEKFChZhpnr16uLt7W0V/jxixAj58MMPLWHN5vb169dPvHy8xH3qbPFYtk78J7wlHh4eMnbsWKsXqXlBU1SUkBlNmzaVESNGiK2tvTzTbJys++yYfDhks8RE3Zbc3Fxp0KCBfP755wKFBZa0pCxJik+X5IQM+WXtRnmiRStxc3W3jE/jxo3l8OHDMmv861Iv9P5YcM2bp2fRL4U/upnHtW7dutK9xUgpFRhc5GJv7Nix4ufnJ+vWrZOoqChZsGCBaDQ6affESKlevXqhesePH2851zz2LdYeFo9l68SmUqVC5atVqyaJX9YSmeIkDUqpRHMf3DTmrVmzZpKdnS3VqlUTvV4vNjY2UqVKFQkPDy+yfIUKFQr1z83NTT7//HOrfX369LFi6v034OKROPlw8Gb5cPBmWfb9SXln+k4Z2XF2keP07DPPyp7PNwgg3k4Olki7E9siiywf4B8oIsUrDP4oHneB5YFMQi1atODYsWMWtVdkZCS1atWiT58+REZGWpz8wGQOevLJJ+9LlVgQV69eJSEhAV9f3wc+958IlbokEeKfQf4IiqZNm6LX6/n8888fdbOsUKFCBavfWq0WlUpFeropC7GHhwcdO3YEoEuXLsybN8/K1DF9+nSysgo7Y+ZmmlT233zzDWCKEMrNTCPDoMLZ2RGHig7kJOZgvHkdLLZ1QZITib95g7feeovg4GAADh8+TGxsLMOGDePbb7/F1dWVDz74gClTpvD555/TunVry3UrvtiO7PqNSfxwFref7Yx26ecMHjy4UH6f+0Vubi65hlzsbBwJa+QHAms+iGRQr9Focu2p4NoUgJRbmexceZ6dP5xj3YKjfDl2B19P3M2SCbv4+aP93I42civxjv+b2TS4attG9pzf8kBtiosrrHb/o9DpdDRq1AgwRdzsPvYLMdeu8uGHH1KuXDnWr19vKfv1118zYcIE2rVrR5kyZRg6dCjly9Tj6vVTdO7cuVDd2dnZhSJVks6fBkXBsWGjIh2uz5Qaye9+bUm3dSOiph82WhUR9UpRr2UFK2uRzkahR48eFr+MkSNHMmnSJGJjY1m5cqXFpHPu3DkOHTpk8eEIXxxOxdoVLXmU8qN169bMmTOHc+fOYTQa2bhxI6tWrSImJuZPjPDjB8n3PXpbDPbRmZQuVY1T5xIQEeLPJ/LL1D1899I2Gtn348B+0/uzf39fGvl3YOAHS6jYpKqVb8zhjZf5cPBmoq9efjSdesR4oOSHjo6OVK5sHTJob2+Pu7u71f7z58+zfft2qz9hfoSFhTFz5ky6dOlCamoqb775Jt26dcPHx4eoqCjGjh1LaGio1QPy3wy5d5ES3AXmCIq6desyefJkNm/ezA8//PDA9SjKnXf6w8apU3ey4IaEhJCWlkZiYqJFCMnMzKRq1aqsXWtyDq1cubLlJZGamkq1atWIjY0lJcWUdl6tU2M0GBEEDJCUZLJ/G413HFaTklLgOChaBckx1aW1tSXq7FlOnjjBjBkzmDt3LqmpqXh5eZGdnU3nzp354IMPAOjZsyfdunXD1taW/v373+lL4mXmOzel8eBODEpKoc7kZ/CO+HO28x07duDm6kWYf00yM0whyKcuRLJ683JmDF7ChcMm4SE7PZdLR+MBEBEcXG1o0C0UG1sNHagK8gIiQukqnlSqVImWLVvSuXNnmjVr9qfa92eRnZ3N77//Dpjm+nrOJXz9SvFEy2b069cPFxcXtm/fzqxZs7hx4wbDhw/H39/fIqBoNTouXT3G669vYMqUKVZ1f/bZZ8yZc8dPYsyYMQDoW3fEedxU7JcttYoeuXbtGvWeeLZQG89fBRcXNVqN1hISn50lhYImvv76ayZOnGiJwhs6dCibNm1i9uzZFsFZkIJuMhbMnz+fQYMGERYWhqIohISE8Nxzz/HFF3/Az+ifgLKOkJ5NqkCZyu443crm15n7iLqcio0KnFxAUd+kdGUbWAjZF5qT4K7lVmoyzl5uVskvRUCnV1slv4yLiyMyMhKdTkfFihUfaVf/avwl2Zq/+OILSpUqVaR0DXDmzBnLA1atVnP06FG++uorbt++jZ+fH61atWLatGkW58B/O6TE6faBYX64Hzx4kJiYGFavXm25X/r378/cuXMfuM6/SlgpiKioqEL7EhMTOXbsmOX3zz//TI0aNQgMDKRPnz6FzjFkF+2QXggCkiNoNBo8w2sTl3qb+mOnUql6FU6eOkV8nhbBz8+P9PR0Fi9eTK1atRg2bBhHjhxhx44dVi9DgFXnzpHxzc+ciDpDp8vXGOiq8GkBgSU6Oppu3bqxZ88etm3bhio5i0FQ5CBHR0dz/fp1pr/zPdpTOtxKOdL3nVqEBPahZ/OR1H8mT9P6Fti6qajURY+bmxuBgYG89tprbH6/6EzGmZmZxMXFodPpmDBhAjNmzLi/MfuL0KBBA8qVK8fixYsxGHLQ29ri5ORE06Ym7dGPX31NWRdP6lQMZ++Joxxfs4lKt4SdRw5y4vRWjCJ8MqOwIF4huCpnL53E0c6JLyatwADs0xrYfvs8u5cuIj0tDScnJ0s0ZWJiIi+99JJlXhs3boy/vz9jxoyhbt26lnp1NmpatnPiiSeesLpeVlaWJQLNDFtb2yIdw4uCp6cnP/74I5mZmSQkJODn58f48eMpU6bMfY/l44qCz6VBrd5k3rvj0aoVzm+KZt+mK6zOuY5OBdUru+HX2pUBQwbw22+/WeqYu3Yhc1lI91s9+O7n5Zw8eZJdu3YRHBzM5cuX6d5kGC/MvxPefvDgQZYtW0ZQUBCXLl16BL3+G/GXGab+RvzTfViunUuUzLT7p08uQfHsnoBMmzbtofoe/NmtcePGVr+rV68udnZ2FgfV4jZzcr/SpUsLIM6ezhI4OlBCmoQU9o9QmfwjVCD7BtpJdZ87eXDUKpOfi52No9i7+4hb+eoS9OshCZ35kQDy6fLvZeLEifLDDz9YfC00Go0oiiIzZswQEZFco1HWxSYKII4vTZDgbu3l4+mvSZiNjQzqZs1KDci7774rr7zySp4zrZ2MHjDU5MNy+KRV2VmzZolarZaePXvKqp/Ommz+Hx+0+O4oFM3K27VrVxG5/0zGj3rT6/Xi4OAgFSpUEI1GI1qNjajVanF3d7fkFDpWsaqcLB8mO0JC8/qOqEGCtTppfheW07YVW4pWpRVVntP4u93ekpMTtxdb3s3NTTw8PKRs2bIWv5oNGzbICy+8IHZ2ReccMm81atSQXr16ScWKFeXs2bNiMBhkw4YNYmtrKzqdTkREjEajVF5cWSrVqXRf/hXZ2dkSEhIir7322gM+BR4/FHwuDWr1pmx+74AsyPNlWfHKdjn/W7TkZJj8PS9evCgjR460clDPTs6S6LHb5MTnx0REZN++ffLKK6/It99+Kx5untK9yfC/rP2Puw/LX6JhKcGDwcldT1JcBl5BRYUflqAotG3btlj25PzmybJly3Lu3Lm/q1lWMPsOHDt2jDJlynDhwgXApAFo3rw5K1euxMXFBTCFeooINWvWpGvXrnTt2pXFixcDd3wptFV1DO46lN7j+hLiH4TRaETRKEiumMw+WYIRiHGvz8n4Oys2vY0tTo5OBAaXYu++vdgqBl47J7yXZAp1ft0pgFd61yfnqGmF/NJLL9G/f38iIyMZPXo0vr6+HKoTwfc3bwNQwdPIlxPn4R9zjS/emldk38uWLcurr77K/v37uXr1apFl3n33XaZPn06VKlXw9vamRg0vrq+/wu2oZML612PVFxs58MsdW/3m098gmmzahQ/C3zOI/316zDJG+SEiKIrC6tWr6dy5s2XVu2PHDm7fvn2vaftLkJ2dTWZmpsU06O8ZhNpOqFSxPLNnzyYnJ4fuhizSm/ci6OknoXl1Xhk8go07t3LizGkupaVZ6lq9erUVH4tDJVd8U30pW7Ysmzdv5vV1bzF25R1uJ0WroVrlcEvYcFJSEoqiEB8fbynTqUNrcnIEg5h+26ighp+KYE81JztU5NatW1z56AoqTxVhbcO4evMqYWFhJrOcg4OVSedw5GEyLmdAOkWaK/bu3cu1a9eoVq0a165d44033sBoNDJ27Ni/ZvD/RhT1XDp1LokQb1uqdg7Bp5qnlU9RcHAw8+fPB7CMn9ZRR4pWjRJjmvPatWtTu3ZtAMaMfoUiXJL+MygRWB4DxF5OoUy1B3dOLsG98SjNipJn/rh9+7aF+tzf3x97e3u2bt1qEVYAPvroIxITE1m9enWhesz+B/Gb4pi7730+qP/BHV8V88Prjr87w745S1auWH6nZaSQlpGCUcklICCApKQkBg+rQfLUHbxh60Ddy8IsfTyGPKK9xo0bEx4eTnh4OJcvX2bKW9NJHWdLB1nNEqCHjTvZV1KJjrsJwL7jZ+ndu7fVC2fHjh1kZWVx69YtDAYDG37/jSPXr7Io7/g777zD5MmTmTFjBl9//TXR0dGcO72fEzkX8acser2eLs+1pE6DRM7su8GpnTGQpSMzJRsP20CyUoWoQ3Gk3s7CweXuc2z2cfL09OTLL7+8x6w9fDg4OpKa53tkRlJqPKlxSVQJr8iE1ybwzlvT6e7jjW2gH6WaVQPAxtMZe2cntFqtVZqFgmlLQkJCiI2NtdD+BwQEcCHqAkajycdJcXazmMnAxLqrqEw3jloBg0BGtljV2bJpRVJuxpGdm8mRaUcs+w/8eoADvx7Aq4kX1xKuMeT5IcTcjMHe3p4yZcrw0eGPGF5juKV81PGoQuaKzMxMJk2axIULF3BwcKBdu3Z8/fXXVv+HfxMcbFQ8Mbkuas39x7ioDEbEtojXsxTe9V/CH84lVIKHB7W2ZBruF/eTW+bEiTv07sePHy90/O+GXq/H3d0dMAkxvr6+hXID1atXD8Di3Lpnzx6effZZLl68CIBGp0Wr1uFo68aNX69bzrPRmHwJJENw8TCls7h6zcSYaR6j5s2bo9Vq0ev1xMbGUrp0aQAOn95D4yYNGefrSYVr2SSkmlZ0Z9MyOJScxv6kNOJzDSSkpnLrhZ4sGfwdAC+//CrVq1dn5oemFWF6ZhYnT560imqaPXs2PXv25NixY6Snp3Py3Bl25kVEgYkRNScnh1dffZWjR4+yevVqnnjiCb5Y+pLVQ9m/vCvNn6lAn6n18CnjjM5WQ4v+Feg6tiYA3765l12rzpN7F58eM/PxyJEj7z1ZDxn2eme8fXxxcHDAwcGBihUrmlKYuAcDJm1H5vVbxCUlkiWgL+XH3r2mvDPp6emcOnXKEklmxvfff2/1OyoqiszMTA4ePGj5bTAaTI6vgDE+Fq3O+uVn9pszFPMCnLvwRxStPaVctIgIlStXZtCgQYgIMakxhA4Jpd2adkQ9GUXac2l8+e2XdOrUiUCnQCovrkzlxZWZtW+WJbolv29F06ZNOXnyJJmZmcTHx7NkyRL8/Pz+0Pj+E9BqQKUHElaMuUZsjYJyD0H8v4gSDUsJ/lEwr5YHDBhA165diyzzuDmeZWZmoigKTz75JDt37mTXrl2oVNYPsF9++QUANzc3kpKSiImJ4euvv7ZoV8QgGI1GLsWetDqvU/O2fLduFSLC7fhEq2PXr1+ncuXKbNmyBRHh8mWTeSUhIYFx48bx/fffs27dOqo3CmL4wmSulG1A1MFfePOX35ilcibn3GmS583DoXUnujQdTIujGXR5zRW/IJNQcvvYNlpt3E7T2pX5bMWvxfY/ODiYLi3a8cLOLZZ9+eeooKPiyXM7gAirOly87PjxF9OLOiYmhpdfHsr233Zx/WY0TTd14akNw3Dy1RDeyclyzoOmOvgrkJaZRNQ5U4CBna0DaqMTBoOB81dNWovff/+d33//HRXg89lSfJrU4Mq2bQDMmzcPlUqFXq8nM7P49B0rVqzA3t7eoqHIHylmRnbW/Sd/BHjjjTdISc8mzpjMN30DOX78CosWmfRjl49fpldOLxLdErFJs2HhrIUkZyXT4fkONAhpQBnnMvRc15Ng5+AHuua/EXXsNXiFOD/QOTf23UCtKGjPJXL8rT2AYtGkSmYuLv9hNUvJ0v5xwH/3/ntgFJdTJX+W1MeJg2XWrFkMHDiQrKws1q5dS0pKCrVr1+arr76ylOnataslXNmcjsJsTjL7HRgMuZQtXRc3Bzer+r9bt6rYa6vVak6dOkXVqlXRarVoNKb1ydWrV5k1axazZs2idevW6O21dB1dnVXz8iIPVq3g9rNdUM+fQ73KHZnk1osWR0009Q7O+U2XpjYqxcWv3iceNLFfVlYWnp6ezHh3KlWrVSWwkhv2LjYcOGhN029G9+7dOX78uMV3oEuje+c2A3ihXX80as199y8kMNTqd35fhcDAUPr2HUGt+g0BsLMzJYNVKQoqoH31+ng1rAZgiRpauXIl06dPp1SpUve8dlpa2kNNfLds2TIOnbvOsmO5PLP0Clqtljp16gAmAXzB2wuY/tR03h32LvUr1KfVu60YtmsYcw7OwdfBFNVloy7REPwR6N30JGvVZOnUqLKNqLMNqDNzUWfmokHBR61gSCrMyfRfQInAUoJ/BQpmSQWTtuJRwt3dnb59+zJ37lwiIyNxcHBg+PDhODo6MmzYMEu527dvW3LlFMwpdOXKFcv3Mxd2kZCWiFZt+tuqVCq06uKVpAaDAYPBQGRkJDk5Odjb2zNx4kTKli2Lh4cHb7zxBra2tjRo0IADBw9QpZHJVPTJh59wM/oWCQlX+WzOQBw1JufcoJo3cXLJ9/J8gDjwpHRTHbfSsgsde9DEfmZHxWeffRZnZ2dcfeyp1S6Ycn7V+N+nR8nJybUi2/ruu+/YuHGjJWO8r0vpIpPV9ezaHYBnWzwNQNTpM+Qaci2mFTM6OzlRx9mLMja22CkKgVotNooKl5w0q3Lmeh0cHMjISGLwkKdITY1GURTUeWSRTjZ6Oru48cbnH5KekV6IAM7Ozo42bdoUGgOzL86cOXM4fPgwNWvWpH379oBJ4NHprIUFnbNjoQSYRRHKeXh4MG7cOMqXL49er0dRFHRqmDX9TUsZs0nn7bffxt3dnZU/rOTw5MO4/erGN0e+oe3Kop3h/7N4QC9ZtzA3Kk5rQMWppq3C1AZUmNaQCtMaotiYnNXk7+JgeMxQIrA8BrCx15CZ+mAq2/86zKtJs49Hy5YtGTp0qFWZW7du/e3tyg8zW/PQoUNp1qwZYWFhNG3aFDs7O6sIjd9++41BgwYBFOI8KfRgMhrJyctmbKPX4uNv7QtTHKpVq4avry/29vbExMSQmppK6dKlOXbsGBERETRv3pwNGzYAEJ8UQ/TNc0RHRxNzdROrd3zL8r2TqdQozFJfZGQkkXsPk24U4m8mEBkZycmTd8xV+dlXs7OziU9M4FRmJpej/xqGzrD6PugdtJw/GMc3k/ZgyLX2aVm0aBE9e/YEIKcYf5eUVNOqdclmUyLIzRdMyQbLly0HQMNqYTQM0NK1c3VyPR3pOOQF0kWIzskhS4wczGNq1SkKjno7ypcvT+XKlUlLSyMuLo4mTZpw4sQJ/P39Ldnop7q58XpgKDVq1CgykeOIESMs2rf8MJt/zIK6mYsD4OTJk2g1+YQTlQrJyLJy3IWiX3oJCQm0adOG2NhYOnToQICPBwYj9O35tFW5ZcuWMX78eKZMmcKpU6f4YtEXnPrtFLUP16ZFYAsAPGzv7978N6FQAsSkGCKPRloWIq+99hrPPvtsIV88M4GjOaqq4H9p48aNtKrXjOvxMbz524f0G/Y858+ft7r2iRMn6NatG8HBwSiKwrx58/6ubv99eJjx1I8K/3QeFkOuQS6fKEmA+CC4W1JAc66bpk2bPlLuDZVKJTqdTnx8fKRLly7SunXre3KvFFvXH2yDt7e3ODo6ilarlfDwcHF3dxdFUURRFClXrtxdx7Jfv35y/uhRqVOupVQuF2Y1/kWV93PUS9RHL4mIiV+iqDJ6GxtRFKVIfo6VK1cKIFqNXuzs7KRq1aqyZMmSu94H+XOpGI1G2fbtGflw8GZZ8OJvkhyfLtkZObLke1OOlr179wogw56cXqgeQIY+N8py/xSsH5DVPWxFpjjJ9/0bSBlPN+nXob2UL19e1Gq1XJ73oqTMeFKGNgwRN3s70ag1olKpZcCAAfLyyy+Li4uLuLm5SWhoqPTp00eertNEAPHR6eW1F0ZY5WErCkXd4+bPgnmn5syZI3r9HT4VtRoJCNRKlap6qzocHByskmLm38xJC50c7KSsmyKSlmDVnmHDhknz5s2t9o0ZM0YaNmwoIiLpOeliNBrv2qd/I+72XxK5wxtUkK+l4JY/r1Jx/6WC/EP5+Vp8fHxk7ty5D9z+Eh6WEtwTKrUKY3Hu+iUoEhEREQDUqlWLa9euWdhuzWaFxYsXk5qaiqOj4yNpX5kyZQgLC2PdunWAyal2586dNGrUiMmTJ+Pq6kpiYiL16tVj9+7dbN26tVj6eJVKjU6MZIqAVgcGAxgNvDHnDaaOnYoxt7CTJYCdnUKDBln8+msqOTlixaRb3q8Ut2Pj+GToGBRFRYiPPyqVwiude1mpsP83/xO6V7MBQvjx/VF0HmnijFi/fj3bf9uIz+8/M3pvFPOqB9PCxpaML/8HL84hODjYagX/46dLWTluBFVfepWlq62jXMwwm/BaNR7E/M9GsXbtWp577jm8vLzuK02Hoig06VmOxBtpXD2dyJKJJg3JN1tn4+Hsx9KfTGzBCakxbN+0FQ8/UzqC999/H4DYhFjgDnfI+++/z7Fjx/DLy2l2JclI5A0Dl245kZ2by4XjB7h64zb+9kJgoomSfkxNhSX7M8k1gqJSs3vvQc6cOobRaKRNmzb873//s1oZt23QnIU/LMXGz53w8HA+/vhjIiMjycrKwtvbG0VRCpkJAfr2NTELDxo0CAcHBysnZjM1vxkGA9xO0mPv4gecsewvzudFo1H4adUSsuK2k5yaToOqOm7Gb0Bl64FKZYOTU2UaNGjAN998w759+6hTpw4XLlxg/fr1PPPMMwDYamzvOV//RkRERFju+/Rj8dxaegq/1+uhsjNpvPLzBuXnazFzBhUF838p7vNjqOw0dPt0KNWqVSukQcnP1zJ+/PiH16nHCCUCy2MCtVZFdmYuOn3JlDwIgoODmTBhQpERQ1u3br3vegIDA4iOvnLvgveJhIQEOnXqZPltb2/PkSNH2LlzJ2Ay0WzZsoXjx4/j6Oh4V4dJo9FAtkYDublo1Spyckx+IG+MeeOubUhPFyIP6bGzNZKensxHb4STdb0VH635jmu3buHv7omIir1nT3Dh5nU8nVwwGEzJFM3+KSqVFp2dH0IClw/eIeC7Q5A1h9GKQtDrc9GdXE3O6v1Fpk3w8/Zhgrc3Nh06sfY364giU9TPyxw4cACA85f3ExISwqhRo/jqq6/YsWMH0dHRLFmyxBKmXrNmzWKp9juNrs6lo/Gc3HmdC+dvcjBqGzm5mbw/ozcAy3/7kOW/fUjl0lU5fvEOx8jKn038Jt9++y0vvPCCZf+3ef5F07ZnEZeeBfwPgKuJJqp7yYX07CC0g5Zx66fpbOz7M42+TMdoMHL61HH0NjZkZGRYwpXzI/zJlrjWCOOjjz6iTp06HDx4kNTUVNRqNVFRUcX6KqTlEcklJyeTnp6Ot7c3MTExhaLPzEhJSuHC6YsAaDRgMChF1l0+VMelKzn0f8aOOR+eokoVG+xCbDh+fqKljI93Z3r3nk18fDyNGjVCRMjNzWXIkCFMmDChyOv/N5E3vg+J6U0MYuHP+a+i5O34mMC/nCvnD9wktKYXKnWJa1FR2L59OzNnzuTAgQMWH5AGDRpYeEXMmD17Ns7OzmzcuPG+677yB4QVBcsjqRD0ej3PPfec5bc5EsbLy4svvviCLVu2AMWvcgvCmOeTkZOZeY8rWyM2PsWSYDE4rDztprxH08G9qVOnDmeuXWbE5/OoUaMGvXv35uDBgwz9ZE6R9XwyvD12rvb3aiUopr66urri7+9PTEwMXbp0oUJIOeIvXSCuZiUqVapkdVZWVhZ2dna4u7tz7tw5zlzYQ/ny5UlLS+PatWsEBwdz4cIFAgMDSUtLIyoqit9//50GDRpQoUIFzpw5g6IodOrUycLLE1zFg+AqHowe/x4iBvacu8yvq6/jHpVuNXxBlbJoPbgl77/7KVqNjlGvvcDIkSMtuV3Oz2lLaPIulDeT+bSjLfUqhJDjXRPXq2vJVhzo/LOeqhXCsJthum65vnM5850d/j98yZU0NW7uvhhzUsnIyECFKSIovz4svzbEaDSSm2tyGDYYDDg4OBTpv5IfiqLg7OxMYmIi9vam+alXrx579uwpfpaMpvM0Go2VX4uiKGTl+tGpUx3Ca3bGaOzHuXMqTpxIY98+R7p06UCvXrcxGNPZunUrM2bMYMGCBdStW5fz588zatQopk2bxuTJk+/a5v8MzH/RhyVjGAX+4++G/3bvHyOoVAoh1b2IOvzwUtr/25CWloaHh4eVw2r+6KDp06cDJpbV5s2bW1T994M/YpAzn1NUhtTPP//cKirDHAkTHBwMFB2h8eBXvjemTJmCm5sbajXcup3Fxo0bGTBgALVq1SIxMZEDBw4QGhrKTz/9xOnTpxk9enShOr7+agHTl+1k6Hs/Y29vT7Vq1Zg4caLFaRBMdOtmrUzbtm2pXLlyIRr8wLzxOHHiBNvyuEbAFJkSERFh4YkBOHv2LNevXycgIIArV66gVqs5f/48ycnJiAharRaj0cjx48fZunUr1atXL/LlvnH991QJboiLqzs27mrr4ZMkLp+w4YOhG7h69SpXrl4C7oTIR0dH45VxnpfvZDnAR6IJuLGa07FZHPR6inStA7fU9hZHyazMNJScdHwdFTAYSUmKt7QrIfEWpXU6S12rV69GRJg3bx6+vr6oVCqL0JGTk3NfwmxWVhaxsbH4+vpakgcWJ6xkZ5s0c4HBNqhUqkJOuDqdjkaNGtGzZ09Gjx6NwWAgODiYZ599lkWLvuCHH37mowUmDdfkyZN55plnGDhwIOHh4XTp0oUZM2Ywc+bMInlgSvDnkBObTvbl5P+8hqVEYHmMoNaqsLErUXoVh7Zt2/L1119bVNnmB775t1kYAOjWrRsRERHobe/Plq6goHN4MLu7RqNBURQrj/5q1aoREhJiCTEFk2aoQYMG6PV6Xn/9dYAi1fHmKI+i8cd8nCZNmkR6ejpGIwwYvo5nn32WRo0a8euvv+Li4oKLiwuOjo4YjcZi+T68fQNpWzOEka3qsnvHJp577jnefvttHBwcrLhTTOG/pgdqeHg4PXr0sByrULYcFfIy/BZMl3DgwAGeeeYZYvKibMwoVaoU169fJzY2lujoaEJDQxkzZgzbt28nLS3NMoaZmZkcPnyY3bt3W51/5swZTh7bT/2wthjFSMKR7zAabiOSwxWPAwxb2AVX71tcjjvDvIVv895HJhOTWQh+7bXXuHAlhnM3TUyzFxNNPizRSUZqf5ZKq5GzLdE51atXp2WjWsS8VRXd6TVkGjVovIJRVGoLtw5AXxdXy/fr16+zbt06ZsyYwbBhwwgNDSUkJIQhQ4bwww8/WPwR7gWDwcD169eLNDkVhUsXsjAYDOh0OtRqNTobNXo7Db6+vixfvpynn36auLg4bG1t0Wg0ODk50apVK3r16sWJ43EgQnp6eiHzk1r93w65LYSHqGHJjTPdg7qAR+OT97ig5O34mEGlVpGbY0CjVd+7cAmAO2aVBg0a8MMPPwBwIzmFnffwYVEU8PGxIyYmHUHITs0otqxOUZEt1ivH3Nxcy/fSpUvz8ssvM2LECLp27WqlQUlLSyMwMBB/f39L+4rCmjVr7treP4Ls7Gyys7Nxd9Pw/Rc9ad7pa3799Vd2795N+fLlOX/+PHv37iU8PBxdvtV/frRq1QGbpEgO/LCHjW+/hXcFB3ydHUg4vp8mc6fcKZhvfNq2bYu9vb1F67Xqf2stx7Kysizh6HDHUTEmJoayoRVJS78N3OGgiY6OJj3dZIb47LPPGDFiBCqVqtBKPiMjg65du7JqlYlMr3z58qzbfpmLS8+zfuP/8L5xmhSby+hbduDNXiZTTO83n6J51DV8w/Tk2Nxi3KRX0eUJVFu3bqV6sztC5JgNWUAWPdu3QGQT/fv35/j2nzjw7J12KG8m52vRBXIxvcjNQou75s4jd9SoUQQGBjJq1CjGjRvHTz/9xIkTJ1i+fDmff/75XdltNUAuJo6X1NRUsrKy2Lu7eDMQQKNGjdixYweOzmow2pGVlWUyDWmN2NsqJCYmkpubi729PWlpaWRkZHD8+HFKlSrF2rVrWbx4MQZjGjVqfIrRCIcOHeLbb79l6tSp+Pv7M3nyZDp27GgRXErw8CQWtatJ2M84/WipGh41SjQsjxm8ghy5eTH53gVLYIHZWTO/P8DOjRtQ7Oyo//xguvfuU+R5InAjJh2rhaICA553pWDORINiEkrMq8r09HRKlSplISMbMmQInp6mTKz5E82B6eW9fPlyVqxYcdd+BAUFAeBo7wKASnl4f0+DUVDy6ktKSmLYsGGEhYVZaVyKc9gEqNXqBdzL2KC2MbDv4EVik9Mo7ebO0ldGA5CTEo0gHEhJs5iKzIytRSEpKYkff/yRmJgYevfuTbly5fD39ycnp+iXdHx8PDY2NgwbNozTp08XWsWbzW+rV6+mbNmylv2WV8WPJmbh1776njHP9sNGe0dw8Anxp3WnKhiUbD589222r1+DwZBLREQEV9+pT/SsJlYkc9+u3QSYIj7MwsrB4EFkvhptKXPwVCxeT73B032GFTvvK1asICoqigkTJqBWq9m+fTtPPPEEo0ePJjc31yL0mvv21ltvsX79esaPGMUcP38AQkPvsOtu2bgZgIEB7jwR4UBQoHVC1R07TNm4U5IMpKSk0KtXLxo2bIijsw25BiEtLQ1FUSwOvUajERHhl19+oWPHjty6dQt3N1tLNmxFUbh+/TrPPfccPXr0ICkpidWrVxMaGlooi7aZG6Tglp9A8V+Hu8grBfla8psh4Q5fixlx/zvNiZvnOBp78q58Lfm5j65du0ZkZGQhvpZ/NB5iOPUjwz+dh6Ugog7FPuomPPagAF9G/t+AOE+dIz7BpWXGjBmSfDvZwl3Qp5eL5Xu9unYyebiXaFWKlAp1kNCpoeI/yF+cNSpx0qlMHBYqjTSu3lqaNm0qpUuXFmdnZwEkPT1d3NzcxNXVVbRaraxZs0ZatWolYWFhUrZs2ULtNXNlmK+t11tzYgBSqVIlASQkuJyoVRqBojky/sjm5qaRLT/3v+uY5uc0KYjbt2+Lvb29aDQasbGxkY8++kh+XPSmvPREIwGkd1NfWdmrnswI9JWJEydK165dC7WhZWmV1e9hw4ZJ3bp1xc7OxBni4uoqdrbOoijqvDa7WcqqVCrp0qWLhIWFFeiXmyiKIqVKlSq27xq1VmbPnSfvdW8vkRcvFtv/tcu+limTJ8uUKVPk0/fekVtxcRL9TgO5/nYtyYg5L+k3L0najQuSdvW0pF46IilR++Ta68EiU5zk932Rsv9YlOw7ek72Hj0rEz7bLkHj1srp87cs9yQg7/v5W3GpFMSyZctEq9WKWq0WjUZjKfvSSy9ZymRevCwny5vGwXw/BgUGyG+TlgsgoyYEyBvTg+W1114rNBbOpfxFUZvGt9zg6eJXoYy06eIjs77rIHq9Xjw9Pa2uax77/J/t2pWR0aNHi729vQAWLhe1Wi1eXl7SuHFjUavV8r///c/S5tjYWImJibFsGzduFEC2bNly13ty27Zt0qFDBwt/kXnMcnNzJT093bJlZGRIRkaGXLhwQbp37y6hoaGiKIoMHz5cMjMzJTMzU7KysiQrK0syMzPl3XfflbJly4perxd/f38ZPny43L59W7KysiQnJ0dyc3P/NI9M2uGbcmXcdjFkFebYuV++FjOujNteZPk/wtdyN5TwsJTggeFdxonokwkEVnR/1E15rJGRkWGlzcifTwiAnBwWL16Mv4OLZdey5bct3/fsTWf/3nS0Oi0+LmHotqmJcr1EzUaN2b7dtBo1ioHfD1uH4Wo0Gs6cOUPDhg0tZpyOHTtalVEUhaFDh7JgwQLApAXKz7NSlLo/OdmkWbt6PRqVosLBQU/SQ8oPU6eOHv6ExsbR0ZHIyEhSU1PZvHkzY8eOtazEAZZti2EZMXR2cmLVlNd5btALherYdNHahPPRRx+hsXfAftw0mPIySUZBslJBTOaT/CY3lUpFdHQ0Fy5coE6dOuzbtw8waWpEhKtXr1rVbfaH+W3PVS6vukTt1nXZuW8Lv238laqDBhcZet25V1/aGgys+OIzTl27wfwPP6QzBqpxlphZ1Xh5QyYHrhs5f8vIyLo65rXR46DAuzndWbDyKjeWjSfrinV28LB3TKYYMw5l3Mm8/MEHH/D555+zYMECAgMDefLJJ1mzZg2qPO1Dbp4ZKdTDg9G9ehF99Ci3jhzh8vbfMeTdP8lJpsSKvcu0R2dnmt+46+ms3JrO9ei3C81BjrMrtjmQfvMaGVm5OKgSMGYofD3/LFlZWVb3pVartTjmBgYGWlb/69dfYP36eZZ5MZvmqlSpQqVKlfjxxx9xcXFhxowZFv4cT09rbc/bb79NSEjIXbVwUHyy088//7yQzxOY0lxcunSJypUrk5qayv79+5k5c6ZVmWPHjvHTTz/RqVMn2rVrR0JCgklbduBAsXw/rfidBsqhPMfyfNo9nQMM2QFupQudk37YxOtz/fVdoLqTwBAFQtFyddIOy2/LFwWuTdnF9OAXoLTC9am7LcevjNtOYssMwlu2KrKNBbmP/o0oEVgeQ9g722DINXL+YCwhNTz/ZETJvw/bt28H4Pnnnycj447fSX6TkOFSFKlJt7lx7Sr9Rr5o2V/w/2wADNk5FrMSwE1u5itf+AGQm5tbKG9RUTCr4MFEcHf48OG7nme+VlZONjYaG1LSihZWtFrIecBMDsNfCMW31N1fDnfDjh07rF7wLVu0IO3GJbpVCuOV79exdOazNNh5koxzqRytX5UOQd58VaCOT9rbMGSdddI2o7MLye+a/GCUtFTUOi3GbFNmaicHF4sQl5uby8GDBwkMDLQIK1B0ZmIw+b3UqVMHlfYaK3d/zCftxnPl8gXqHzpOnx69C70I16xZw7hx44iOjsbDw4OGdWrzbI+nuaUK4bQqkaSEWOzObmV4ywA+/fl30nzLEdOoLxdSVARqy/CJg56UBnPJyc0FFE7viuTw1uWsPRhpdR8sTky0fDeHTr/06ihSj+xg01kTXb9RxOpGPR8fT1Be4sGCMJdan7SbGa99DBNAlWvA1VFQ/NVcuZJrVd49Iguvg6U4ePMa73eqwoQDChkGH8r5VSbeN5WYmBjLfWgWGNVqdZH/A0VRCo3/xIkTUalUrFmzhkOHDhXZ5uzsbL755hvGjBlzz2fbHb4fa9y6dYuqVatSrlw56/EQYeDAgQA899xzlC1blm7dulmVOXPmDLVq1WLq1KmW66tUKo4dO0bXrl1NvDJZ6ezeuoH4dFO/Qxt2ApfeeZwqiukz5SZsnQGpN4sUWOwb+GFIzcG+lrepvHkMBZC8DFX5h1XyfcmTiyzjLoLGVU+pal53Ha9/Pf46Rc/fh3+bSciMuCspkpqY+aib8djAbFb54IMPTCaGli0FkKFDhwogXbt2lWeeeUYA8e4/WIYNGyY2NjYW1aiTj0mtrNNaq7wtKm1XjSh6kylGo7Yu46IvrGpVq9Wyf/9+adGiRbHmiKFDh4rI3VMJFLfZawvvM6vlH3RbvHjxPcf3biahglTiDaqGSRlPN/l+2JNWqvq09UtkRdNKRbahrJdNoX12PftL9U6FzUeAqJR797U4anlFUcTZ1VPKVqwrtUNbyNRZH0nZ8uWlcdlg+WHnLqu+AaLRaGTp0qVy8eJF+fXXX8XX19fKDHO/42TG3p+2St3SAfdsv41GIxtf6CW1gkuJVn3v/jauUKHI/YGBgVK3bl1TX7Rq0dmoRaUqPDb6YHtR8q7z3HPPSblyOqnf0FUiIiLE1ta2yLp9fX3v676bPn26REVFSbly5aRKlSoCJtNpQXz33XeiVqvl2rVr97wnC87T6tWr5fr16zJlyhTZt2/fXcsXN09Lly4VZ2dn2bt3r4iIREVFSVhYmEyfPl0M2ZlydPU8mf/GSzJlyhT5deEkycnKKPoCsWdEpjiJXNpV9PF/IB53k1CJ0+1jDFdvOxJvpN274H8E5uRwI0aMAGDTJpPz4+nTpwHTqtrshObh5sbAgQP56qs76/zkPP6W7BzrVacZhtu5aI0qdJ7eGDXWkQ63MwEUK8dUT09PatWqRUBAAAB2dnaF6jRHTOSn7C4OjV4chTogGEWtRqUoaNWgL623KvNHOC4URWHq1KlAYWc+wOKoV5wz38yZM9FoNAwYMICwMFMCxD1Hz1DGw43Ap01zYTbHxVdqylNbj/PUU08Vase52KxC+9QeXlzMLFqTZJR799U8piqVCm9v77z5UdCqbagb1BKbVIVj0Xto0/oJDCIYFRX1ChDXAVSoUIHevXsTHBxsCeHNr8l5UFRrXZ+zsUVHdNR3dGRLteqU1elQDAZmr/gfPetUxdWu+LD6b775xuTQ61Z0mejoaEtYc26OgewsA0Zj4fvNxt0RnbfJiffLL7/k7Nlsdu9MZOvWrYV4WTR5EU03b968r/tuypQphISEoNVqLY6eERER7N+/36rcokWLaNu2rYXD50Fhnpc/en7v3r2ZOnUqjRo1QqvV5pmmmtClmjufzBzPyshEPBxtGNy7I61emIZGp793pSX4e/BXS09/B/6tGhYRkUuPQOL9JwGQWrVqFbvq69ixo+W7xtdf2vcZINX1Ra8kyVtN+gcEFq3xcHKx+q1WqyUmJkauXbtWyFHRvIWGhkpKSors3LlTli9ffs9VqsrbV1Qq9Z0VeKnCWomCm6LcW8Pi6OgoIoWd+cxjWHDL78w3ceJECQ0NFb1eL66urgJIyxrlizzP7DTYunXre7YJEBsXR/H+7fA9y6nVmmK1KaYxUAod/+SThZKZmSkhISEyadIkCSzlJ7Vr1ijyHrKzsytyxV0U7kvDkpdosbitX79+8mzv3uLt4SGN69SRtAsXpW5A1WLLN2vWrNi5Mm9vvvmmXL58WURE+vTpU+w9Sd79UrVqVekc4GpxBC6v0xUz9veeR/Om1WotTtB2dnYyZcoUcXJykqtXr4qIyKVLl0SlUsmPP/541/EriG3bthV5vaIcl0VErl+/brlX82+jRo2SLVu2iLe3t5QrV+6ufWnXrt3dGxV3Nk/DsvOB+vI443HXsJQILI85Lh6Ne9RNeGxhfojpinjQ1p29oFgzTHHqbXMG3D+zFXxpTpgw4YHMQSoPrz/dhoKbRqORsWPHPrRxN4/VzX3rZcu0ATKne1v5fWqfIsvNmTNHwsPDTS/IkKBCbSsb4mc1H/7+/jJ48GDx8dGIh2fhF66Ls6spUkl3J8pKr9dLmTJl7vRXrRNPbz/L8+Cpp56Snj17SnBwkNStXKHIdj7//POi1WotL3lztuKicD8CywsvvCAVK1a0yqI8vmdPWRkULAfzXtbjx4+XZ555xnLO+x0ni0qlknbt2snLL79siagxj/epo1ukwicVJOTNEPlg/twi57pfv36SkpJSKJqquM1WUSwRRw46bZFl7OzvLTRblc+L+mrUqJGIiNSoUUMmTpwoIiJTpkwRHx8fycnJuftNJiIGg0GOHTsmX375pSxatEjAtEgo+J8tChcvXhQHB4dC//tRo0ZJo0aN5JVXXpG4uDgpXcq72H488cQTRc59UWXvKdz8Q/C4CywlJqF/AORf7vn9R2GOUnnyyScLHbtx5DAqlYoOHTpY9lV8IgKAJo0bFSoPsGP71xbzTlEozkHQxsbGQs+ff64UReGtt96ymINExJJDqDgY42Mt3zUqDa7lXHCo6lBse2xtTbwYZkr3ovDSSy8xbdq0u173j8CrdlsiJi2iTKATJ8+aUkoU5JcYM2aMJUv0kajLheo4F3Xdivn22rVrLFy4kBs3comPK2y6u51kIjfLyr4TzZKZmcmFCxcsvw3GHKa/vwQnJycMBgPHjh0zUd/b2qHLyuBo1IVC9f7www8sWLCAQ4cOsWrVKtatW/eHxywtLY3ly5fTrFkzqlevbnG0fnv5crpdvsScr78GTJFM+TMxr0zahtFoZP369cyePRtfX1988zJFA2w7tIqMixlETYlixKiXrK7Zr18/tm3bxtmzZ3Fzc7OYSe8GrU6HjaJQ66wpg3NqdtGe3OlphU15d4OHhweAxfRoa2vLjh07MBqNfPnll/Tr189ibrobjh49yg8//MClS5cs41RUGoyiEBwcjL+/P15eXvj7mzhrzP9fM0vvkV8W83Tvfmz47A0++ugjK8I7RVGs+HzMWLVqFTExMabt+C6OD7VHrVbz9NNP31e7SvDnUCKwPOZw8bIjOb54Btb/KrZv324JGS6KPfby0i9o2rQp69ats+w7uXGr6dxt24usc/bcVRZ21aJQnOCYlZVlFVZbtmxZy8NxyZIlVmUjIiJYv359kfU89dRTJOXk4hRSDhtnN/qOXceAdq/xVPVqKOQ9cFUaVLZOALi6umI0GlEUhTp16uDubgqDf/bZZ3FxccHDw4OxY8fy7rvvkpCQYCFoU6lUReYM+qMIDAkiJVtLTsoti5/R/URRmZE/0uthwNc1GL2dPYcOHaJv375cvnyZgQMH4uniQo7WhlXvTsVQwCcjIiLioeXFWbFiBVlZWbz55ptWhHOnP1vIyfJhfPK2Kdx48eLFVhnFt27bZlXevJmRKwa8yjgUWWbx4sUWRuX7HftcycHgqEZ/F8LAP4Lo6GgcHBxo3Lgx33zzDbt37yYmJoZNmzYRHR3NgAED7qsef39/srOzuXHjhoWFuV+/flZlvv7662J9shwcHGjZsiU+Pj5Wxzt27MhHH7zPxz/toZZbGgQ1YM6cOTg4OFj+t15eXla5wMxwc3PDx8cnb/Ni44Vc7GxtSgSWvwklAstjDmcvW27fLBFYCsKcEbhY5HFYlC9fvtChh6mvql27Nvb29pbwW51Ox7lz5xARatWqVYgDAkwrzqKQlZXF7evX6NyoPvb2tny3ay4/2FSicrozvepWy2u8AY1aTdOmTUhMTGTs2LEADBo0iL59+xIYGMjXX39NbnYmLeqGMv6VYZa6PT09mTRpElWrVn2IIwBRR0/g6WBA6+hmpU0yb02bNmXUqFFs27aNDh06WGkNioKrgxaZ4kTdCn6obZ3RuPoBCjZO98dLdP3WRZ7v2pR27dqRnJzMrl27qFixInqdDp/KVXG8Hc+E18by++49Fk1QcnKyFdPoihUryM7OthIY7uWcbMaiRYvo3LmzRYA0IyevrMbd7b76URCxkkx6AQbm7du3W5iF27Vrh7+/v0WjdS9IjpCSlEOm8vA1uKmpqVSuXJn333+fXr16oVKpaNWqFSJSKBS5OHh6ehIREcHChQuZOHEiAK+88opVmcTERCstFWARmM15ng4ePGh1vHfrutSuU4ed2zbx7BuLeP7556lWrZqF0wfu36F30eEcenZocVcNZwkeHkp4WB5zKIrC5fg0ThzLxiiCwSiImKjW64e44+fyYAn7/g1ITU3F19eXqlWr8nWeer046GwLR+48zMezTqfDxcXFYp4yR1qEhITQsWPHItunUqmoV69eoay6a9aswc3Nja8WL6Z///78fvosOT62LLUZTCL7UZ+NJTfxOtmpiZw8eYovvviC/v37M23aNEaNGkVc3J1M36npmXy3bg/XGjdiYLc6tB06gfnz5wPw+WcLyUiN50GQmppqRfFtjgpyc3MjOT2X9ScvsunZZ600SmZhwPyCP3r0KJ6enrzyyiu8/PLLAPTsEESfwR9ia2tLZGQkr776KjkugZTJnMvaVSF8/NEn3MqCn1avJCM9DbuwRriWr0O4jy3/WzidSpUqc+bMaRRFYcGCBazduJXze6KY9NnHdGgQioODg5Wg4e/vT2rdVlz6ZhFN3p1taeuWLVuoXr063bp1Y/DgwWzZsiUvy/UdM0F+zYX5ZRgUFMSlS5cs+8+cOcOOHTvYsGFDoTFUrzcREJ67EMvNm6fJzTViNBgwGIwYDAZyDYLBYMBoMGIwCAaj6RjA/9btZmeYPbl6azNFQT6ZDz74gNdff53JkyffG4nqngAA/QhJREFUe1IVqNOiDId+u3QfRRXkPv85iqLg4eHBjz/+SIMGDejRo4clk/SDolWrVkyZMoWOHTtSs2ZNS/1mjBw5ks6dO1udU1ATGhERYckOfvPcIVb+aseA1lXp/cta1LamZIKDBw+2EOWFhobi5OR0z7btO3SE47FGFvVof8+yJXhIeEh+M48U/2anWxGRpmPWS9C4tUVuyRnZj7p5fzv+CKfJ37W5uLiYHCzHjxcPD48inV0LcpoU6ThoyBV5v4YYpjjLhSmVxVanFafaT4rf8x9L6aY9Ra1Wy0fvjJSv3+gmgIzu30xOn9gnCyc9La93bCHzpg0UQMb1aizvdW8v7w9sLRu/GSu/fjVWQr3dpHHZYPlsTCf55dOJf2rM+/XrJwc/ekVqBftLo9rVrM4pqry3d9FOjjqdTurXry9NmjQRx+AwefWbL+9az/1sU6ZMKfZ8Zwd7eX3SeBERycnJkTfeeENCQkJEr9dLQECAvPjii5KYmHhfY3M3FKSWf69UkJQe+3Ox/2fPzhNEH1RNVLaOomhtROsZLIC4Nxsgvv3fF/8XP5Zt27ZJSEiIhTdl9erVsnTpUgHkhRdekPPnz9+3c2z79u0lwN5JAHHQIA66O8eVP5ka4syZM3Lr1i1xdnaWhQsX/uExfOONN2T//v2W3/mvUZzTbX6YHWUVRZG6devKohkvSUZ8tOV4amqqODo6WuqcN2/e/TlW9+sp4V4qkQvb/mjXHjs87k63JRqWxxwGo6AAtYNd+fK5OqgUUCkKi3ZcZNavZ0jPNuCoL2xr/TcjIiKCd955h3nz5hEXF2dF4V4Q/Xu2ZPHyTX95m4YMGcKNGzf48ccfAfjuu+8YPHgwr7/+eqGyxbF3WiErBRLOowI+2XiWMs4GtvXcyRwHF9JzHdh6wYv3537LiCdrAHD7XDJr33wTgEZPV2fdwRxCQkKYuXQbt2LOsfLdlzm69jhiVFBpwKWULTkZuZzYFImr34fUbT/8rs0pyCMTe3gLSVGRBLboiaK1o+e2U0Q0DLE6RwqsdPNDURRmTPahToQdSVEOXNxUClP6JGjtWwFZ+zMz1q1FUHir99N8vmkrvq4utK1VA1DIFgV1SDiRR/axZu3P6F290GYZKOVZls61nqfpa215orpvse2Y+cknyK5NJGdn46TTMWXKFKZMmXL3OfkDKKgBMapUGBUVE33TaN2yBiqNGo1GjUqjQaNRM/HNn/F7rgsuzs6MfGk0OXGXAEjY8gUADuFNSeswDjs7O8qUKcOJEycA+PTTTy2f5u/3Qnp6OuvWrUOXp7FILfA3ul+NSnHYuXMn8+fPJywsjOeee+4P16Moyp8KPMhNT7J8rxDsw4DX5lgdX7FihSXju1qtpm/fvqxevfqudaalpbF81VqmNvhvPXsfNUoElscUBXOdtBv+Lg42DSzHK/qaVJb7L93CzU5HQtxNPnp7ChdOHeX8+fOMHDmSefPmPaLW/z1QqVQY8nxVisPpiyl/S1s++eQT3NxMvgnNmzdn8+bNf65CWxew9wK/6uz+5TwtO5YnpYELzdM3EBNTges+nqw5eoqhC9Yy/FMtNTu3wDP3Gm4BXjR56i16veRvoT539yvHC/NMOY9Sbl/j5069KVOlOoNnz+abN55m9/L1VGrYGQeXUvdsVtbtWH6e+DzR8XkvkBWb0WsEUPCuVDR9fHFwMDqizs3FkKAFFMLbVUGMRjaf0yM44etijxgFMRpR7T6M2t0PfaX6KCJcOrCT3Z/P4/Kt2xiNRvQaWzLSEjhxcRdnrh5gZ3wj+p0+ZckTVLduXV5++WUOHDjAuXPnCAoOJi0+jknf6Hn++edJS0vjwIEDnD9/nvDwcGJjY0lISMDOzg6VSkVaWhqlSpWiQoUKHDx4kFu3bhEUFMS8efNo165dsX0sKJz+7lcVAA8PJwIrhRYq//GnCy3fR4weBUClSpXo0aMHl8qV5bdIJ2ZfvInHCy9hFGDkACav28zHXy6kcZkwU06kzp0tZpO2rSL4ZcPWu85D9l8UhThu3Di6d+/O9OnTi3RgvV8YjUa2bNnC9u3buXzZOtJsyZIlJCUlsXfvXlasWEFubi4dO3ZkyZIlTH/lJS7uOcGZ03dMmUfORjNv3jxatWpliThatGiRRSjq2LFjId+jorBixQqysrPpW0VHoXwfJfjLUCKwPKYouDKLjUnDaBRUKtODyNnO9AAYvuwwALlJN0m+lk31iN7Y2//0yNr9d+HChQtWeU+Kw5489s+/Cn5+fly/fh07OzuLM23dunUfTuWVu8LeT7gRo8e789Mo+hRIhyf7v0iO9xG+HzqBrLxQ1FKh9S22/O+//57bt2/Tv3//QlU6uvjfyZ+iVtNh+DssHjOKle+NJLRWXa6cOkZGSiqZt9Q0eaY3FRt0veMzkJvN9mn9iY5X0b5TA9wr1mfbFx+Qm2ukSsO6lGrR54G6F1DrXSJadWbvydHEqk/Tso/JQfmJIsr+vH4F1apV49XXTC/xdevKcuXyWeqUDuCrXQcppc0hvGEzlm7+CUcHe3Kys/joo48sCfPyOx2//fbb2NjYULNObXZv3EhObi6enp6MHz+e4cOHk5yczLfffsuoUaOws7Nj8ODBNGjQgCeffJKkpCR++OEH/P39uXz5Mi4uLg/U5z2+lbADAkrdX04Yo9FISkoKbm5uBIcGse/8eW4kKij5cundTHDilVW7ijz/XsKKGSrgweOhioa9vT16vZ49e/b8Yd+V/PD19WX37t1WrNVmrF69mtWrVxMSEkJiYiJGo9HE+rv+ZybNnmdVVkQ4fPgwhw8fJigoiF69enHy5EmrXE+tW7cu5Fit0+kKhVMvWrSIzu1a4W5XdMRhCf4alAgsjykKrswycgycupFMJT9nAGoEurJvYguycowWZ9zms725DAQ7b300jf4bsX379j8Ucvqwcf36dcCkXk9PT8fZ2Rkvr4eUoKz5ZNj7CRhMQomj3vTw12js8Q6sWuxpD0J97uZdliptqnFk7RHiz/2OjbMROzctmSmZ/O/9LzmxYx1PjzWtQHOvHeHoVRU1/NIJ6z0BgKfeb3aPK9wHFOVOwtr7RPv27bG3t+eVMSbn3aNXr3I0L7Tczs6OgIAAunTpYikfHBzM+PHjefHFFzlz5gxGo9HiFLxm7VpWr1zJ8OHDycjI4NKlS1aZtfM7RyckJNCwYUNiYmJYuHChRStTlEZz8eLFhUwhcT+9TWZ6mhX3zN3w3nvvkZqaSvfu3fHy8uLZWg2sjisTn6NKmSzOJ5ieC6dPn+a77767r7oBHD08ySpXiex9O+AuplW1SotKgRzDHa4WP19frsfEoFFrqFipImfPniUnJwetVkuFChUeWtLWwYMHM3jwYCpWrMi4ceMKHe/Xrx+L8xzVL126xBcvNmL1V5/ybp9JjF36VqHy9vb2XLp0if79+5OUlMTp06cJCwtjw4YNtGp1JxPyPR2rVy6Bo9t5uG78JbgbSsKaH2OYQxYBTvz8FgsWf2t13MtRT4CbHUHu9pTxdODltmHkXDvOnv0H+OCDDwgNDWXx4sVW5wQHB6Pkpa/Pvw0bNuzv6tZDwZ9RMT8s2NraWh7KGo2Gzz77DJ1Ox+zZs3FxccHe3p5q1ardM5KpEFJuwqm1cOpnAHzcHbl58yaqvPWFyP/ZO+/AqIqujf/utvTeQxolCb0rvUnvKCpdFBEVBAQLoEgREFCkCIog0kRAFLDQe+8QauihhJAEEtLbZnfP98cmS0IKQVHx/Xje90p27ty5c2duOXPKcwzcuHEDOzs7Ll40k37lRu0cOHCAbdu2YWVlVeKcQS36fMbb3y2j/9dzGDj3D/pN+Y1B3/9E4DOliDxxh51LzcKJJvAZHLWZGK2c/sqwWTBp0iR8fX2p++5MTt2KLbauXq9n48aN+XhkMjIykEK+iVFRUaxdu5YWLVrkK8/KysJkMhUQdJMSEkhLSyM9PR0HB4di+3Hv3j28vLxo0qQJ169f56OPPio2TNzR0ZHo6GjeGG/2K3m5//ASCyvLly9n/PjxrFq1qlgh2EZrBSZzm6NGjaJ79+4lah8gJe4u+gO7ihVWwEzGl1dYAbgdHQ2AwWjgwoUL1KlTB41Gg6IoNGjQoMR9eBhupdxi7IGxJLkmMebTMYxfOB6j0ZiPgwbu89psDk8gJaQ6avcsvv3kc6ZNHk5C9A1L/Vx/ldz6oaGhiAgtW7YslOMmr7AC3K/frJG54KlJ6B/DU4HlCcahQ4fyMVaePHa0mNqw6chBbv/4EVlZmZhMJvz9/enfvz+bN2+21Dl69Oh9psboaLZu3QrwnyM+qlu37r/dBfMHUwQbGxt69+5N//79UalUtGzZkuHDh1OxonnV+corr1CjRo0CyfTS0goyrgKwbhj81At+fRuAek1bs337dhS1mTzLZMril19+IS0tzRJqO3z4cGrUqEGbNm0AWL16NSdOnMjX7IP8FDVq1ODZZ58lJCQEe2c3xk6ciSonjFdnbc+L78/jquEKzV+dYhFsB/y4nbZf/M6Gkb3ztS3ZejJ3/ETm9aIZVh9kwXV2ds7Hq/GwxIyKotCnTx9CQ0PZvXs37du3L3CNuRgwcJCFtTg+Pp6tW7cSGhrK77//XqCu0Whk8+bNaDQaUlKK93kymUwEBwczYcIELl68yI0bN3ByKlqAUxQFDw93DqWY6/RoW7/IunmxcuVK+vfvz6pVqwoIXg8iKSYGfaz5Xpo+fTphYWGsXLmyROcBsGraEo/fH8204WjvyDPVa2FjY4OzoxOKonD27Fk0Gg1vvPEG1tbWj03DcuD2AdZcXkOCfQKKUcF0w0R8WnyR9UVtxbPe2Qyf+TlvfvoB7438EmfvgMfSl/x4PNf3FCXHU5PQE4wqVarQrVs3Jk2aBEBGRvGroIvbfkVlbYfi7oZzRirVqlXDy8uLGTNm0Lp1a8BMxpQXU6ZMyclW2uTvuYi/CV26dOGPP/4gOmeVVxxy+RX+DiiKQkZGBiqVijVr1pCQkMCKFSvIzs7G29ubjz76iOXLl2MymXjuuecICgri0qVLeHl58dxzZu6WvfsmYWMbzqt9vyQmpmCG3969M4iIiGDsF6uoVl/PyX2/snv3bjZt2mSZV4BvP63C+1PDaVzHll0HU+n7fAKHN+QQ5ylwcIOZw0Ny/ns7Npuf1iYSGpzEit+03L6+iAMb1nFfxS04BiZjo1PzQeum+a75/LVEWpzcRvbFM2iDQrj5zvtkp0C2SsVVL2fulrJFwexoYWbphQsx95i29T6J17Zt2ywZt/UmVQGqeqAAa+uYMWOwsrKidOnSxUaPxKcl0693bxYvXszQoUNJS0tD/RBG1wfPXRS6du3KH3/8QWZmJuPGjcPOzq5IMrzU1FRK+QUQl5Zd4nOsWLGCfv36sXLlStq3fzjHx97FCy1/Dx8+HDCbSUSEzu2a8/vGHcyePJp3Rk7Ix0mSi6xdW6mRcpbNYx0RgRrzUjkVW9DcqlFpCPEow8a+36FSFFLI4OPS3/LHH3/w0UcfoSgKM2fO5NTJk9StVw99+uPJNO9oZQ4wmPLCFHYf383xzcf5Yt4XPN/xeeqF1itQX1EUUP6BT5tFIHuqYfmnoMhfiRd7QpCcnIyTkxNJSUklIvz5r2DPnj2MHDmSgwcPWspyowAKg1tIFZLuxmFMvgM5au8WLVpw5MgRkpKSCtTX6/X4+voyfPhwPvroo7/lGv4ubNq0iT59+hAX93ACtL9TYHkQKpUKk8mEq6sr6enpZGaac97odDr0ej06nQ6tVmshmsuLypWtGDPWi+ULvDh64BgGKydi4xLx9fWldevWHD+8i3MXr6FWaTCahKCgIEaPHm1xrv1isjcffhRL5xae/LbtDlqNQqVgRz5+O4Qqoc5mAQIlx2fE/LeiKCTLXV774DTlyuqYOqgZoDK/jBUVqzfd4LOvz3Bo7mjsPUvhW7cd1157nvTziWjzmFbU1grOr73I2eUb8ElK45aLA+rGFdG62YOYctTrJjCZzP+KOfpHRGg+finTBjzPe/PWlGiMmzZtSvXq1XF1dWX8+PGF+jI1K1+WZCc3jh++r9UKCQji9s3rpBbSpnuZMiTcuPHQqLOi8KCfA8DBgwc5c+YM07ZeJT41g3ubZmNlZcVvv/1GhQoVCAgIYNSoUURFRVkI95YvX07fvn2ZNWuWxWEYzObHXE1OXhK/GjVq0KDva0SoK3BobDcCAvJrEk7v+5VqjZ5nztRPGPThp/n2KYrCTwMa8bLPKbZdVJhyQuFsnInYe8nUKl8On3LlLVGKa9eutWi39mzbx/6Fv7N901KWHD9KzL07eHt6Uq92LX7fvAURwdneDpNKTWJi4kPHbuDAgXz99dcFyk1iYtTeUeyM3EmGIYN1z6/DXrHniwVfYJVkhUd1D97pYg7HvxJ9hQWLF6AyqtAZdDzjqaf9wM8eeu6/hMSbMLMK9FkLZZ/7e8/1D+HmuXgCKpWMUfpx4ZG+34+N/eVfxP8icdzu3bvl2WefFWvr+1lpKYYo6fbt26K2shHUORlXFUWsra2lc+fOAkh6enqBY3766SdRq9USFRX1N1/N48drr732l0itHvfm5OQkgDg4OIirq6uoVKoCmZsB8fX1FTBnGHZzU4lOdz/7bFCQi3z9TYC80ddZ3GwV6RiiEX//UrJq1Sqxt7eXEUN7iLW1Im+/2lzCw8Nl9uzZolarZdOmTSImk+zYUlo61HeTihUrCiDffPONjB07VhwdHeXWrVvFjmeNqjby6gvBBcoXLVokarVaAgICxM/PTzp16iRHpn8k4aHl5VLtypI4f5IkfjtRsiMjRMScYffs2E/kTPkKcqpiJUmLKv68IvezP5cUeUm9iroPmrZuJX4uZkK0Tp06CSC1QyvIZ6EVCq2v9vUXCpmvwjaVSiWdOnWSsmXLWuY4ICCgQD/Pnj0rjRo1KrSNvn37iohI3759pUmTJiJifuZdXV2LrS9SNImfh4eH+V4QkZSUFAkLC5OxH7wtgNjbmTMoz58/X0TMmaIBWdvNRmSso6xfv15ef/11mTxujAASGuAn/fv3l1mzZlnmJzAwUHQ6naxYsUK+mThd1CqVONg7SJs2bWTs2LECiI2NjQwZ+LZ0qVFJ1Gq1LF++3JJ1+ueffxZAVq9eLdHR0bJ161YBZOfOnQXGbvfu3dK6XWvROJuzZ/ee2lv0xvskmaPHjZaRM0Zafo+ZNkbKlCkjtra2otPpJDTI1zIWfxsSboqMdRS5vO3vPc8/iCedOO6pwPKEYvXq1dK/f3/58ssv872U8r5w8qamv3btmqitbcUqqLpgZSUoimisrKVR06ZFCiytWrWSDh06/GPX9Dgxfvz4f11IASwfLJ1Ol6+sQoUKotVqRaVSibW1taXe888/LyqVStzcXMXDQyMqlSLNmjUTQLp16yaOjo7SuPEz0q1NBXGzUWT8qEEiIvLCCy9I+eBACQrSSnz4fMs4dOvWTVq3bi0iIhv/CBS1WpF169blEwJq1qwpH39cPKNtUcyeBw4ckCVLlkhYWJjs2rVLOnToIA5WOtlRpqxkHttVZHs3f/9NwkPLS1jtWpKZmFDsuf+MwDJw4EAJCwuT2bNnFzovLs7OouT8XaOCWYAL9vWTzytVLnwenVwElapEc67RaKRatWr55r1q1SqSrdeL0WAQk8kkIiJHjhyR999/X6ZMmyVqOxep0+lVefHFF6V79+6FXleJGJDzYOjQoTJ16lTp8OkUKfX2DBk1apRotVo5ceJEkUJN48aNJSwsTDp27CiATOnRUsLetJPLq78p9pqnT58uNWvWlCpVqoi/v7+o1WpRKYq0a9hCYmNjpXXr1qLKGT9HR0dpVSlYmjdpbLk3AwMDC23X0dHRMl4PjsX7I96XgMEBhY7Fh5M+lLFjx0pGZobs2rVLvHy9LHPRrl07ebFVPctYPIjbt29Ljx49JDg4WBRFKfS+z2XHfXBr167d/UoWgWVrsfP0X8KTLrA89WF5QuHq6sqCBQsKlH/11Ve88cYbBez9QUFBGDPTMV4/aSkzZGWyb+9eHB0dCyTcu3HjBtu2bWPNmpKp4Z80VK5c+d/uAmA2N+n1evR6vaVMRDh//jwAzZs3Jzw8nOjoaBRFsTBoJiTcy7XaWfxwunfvzuXLl1Gp7Nh28CwJGUKvbu04deoU+/btw9nBmpo1bcB035epdevWlszLRhMYjYK1tXW+PtrY2OTjmngU1KtXj3r17vsJ1CntQ2hwZX7VZtKsZuMij/Pv2Injmzdiu20XEXXqcSo0lFRXlxznXTWXYmLYdOY0N+LNJr3vx08gbfMuFEVBpVKhUtT5fFQS0lL5Yd8uIu7EEJ2UwIWwU5Zs3YUhIY8pIuy8Oeng5du3+PD2rULrS1JCicfEYDBw6sxZFI0OfQ4PzrlrMYSM3ohKTKgwoRLJ+fcZVNEmFLWGiylqLl84Qt/uXQttt0QMyHmQG0Z9YcUqdFnCZxPf5bfffuOPP/5gzJgxiAgnt/+E1aBxaFfMJbhmM1q2bJnPL2jkiq2MBHrvfx+T0UCf7t358edf6NCoLv2GfWgxS+X6xuRCq9FSt5w/X3w2hYsXL+Zz7E9OTmbLuWR8vJJJy8nEvX//fqpUqcKbb77J0KFDCQsLo127drz00kuFOue2bduWes3qsemnTYVee+W6lbm65ypTJk/h4uWLBJcNxrehL6tWrcLBwYGeDasSfiuJP/74o4AfVF5OnhkzZhTa/po1a/I90/Hx8VSrVi1/cMJjcip+ipLjL0UJTZlijh7IfWFev3690JBZRVH4+eefi2xHRBgzZgw+Pj7Y2NjQokULLl++/Fe69p9HLhX6hg0b8pW3yWHVfDA1PUBI575oXEvh7esLajUoCnb29vk+OLlYtGgRnp6eJXLqexKR16/n34T+Ib4x27dvtwgrudEearWavG4XuQ6b0dHR2NjYICI4OLlhAsrX6kCNGjV49913MQk4u6gR0/0XqZeXF8nJyWRkZGBrq6JWZS8mTJgAmKNfli1bxsGDB0vknFwSpMz5lPI6a2JCqj30hV1rzlzoPwCjWkPVS5cJynbAxysUL4/SWNu6EFIqiLdamMP2tRorrK3t0GmtUak0mDBhNBkwiRGTmNAbsnGwseb5Z+pipdFirdOy5M2hjH+hR6HnDvL0wcfFDQUFJ505AWbd8hWY1bFnofW9vb1LPAaKotCuS3eatuxgCRSR9Ht0tL9Fe6dYeoXa8FKIDe4Xf6NC1gVqO6SgI5uM8J0k3I2hf//+JT5XSWDKEerykszlQiTnRsshnKxcuXKBsN20P+bxQ1cNmSvGMH/6FwB0fa5xPh6btWvXWuobjUacbWxwcfKmQsOarFu3Dp1OR9++fQG4cSGc6v4+uLu7We7N/fv3k5yczODBg/H29mb27NkAjM9JJ1HodRVDZdfh2Q5kq8zPXnBwMK+OepVuQ7tZ9sdkZxYYi1wEBQUxa9YsXnnllSIjvFxdXfH29rZsW7duxdbW9oFoytzJL7KbT/GY8ac1LEePHmXevHlUrVrVUubv71/gxTh//ny++OKLYlcOn3/+OV999RVLliyhdOnSfPLJJ7Ru3Zrw8PACq8X/T9i0aRNTpkzJVxZ1O4abN29SqpQfb782lHvJd/nlV3MIY6lnm3Hp9x+4q1Igx3kwNSmJYcOG5WvDZDKxaNEi+vbti0bz31Sy/VmNwWNHMT7ruY625mrC3r3m0NHuXZ/npzVrUKkEg0EhIsIckjpo0CBEBEdHR5KTk3m3oRX9KmvYrwri42nT0KjNL0gxFS0kzRjdjNHfmMnsXn75ZWrVqkWPHj04fvx4kcc8Ckxi4rI+i85lgh9eGajw/jAMbwwgon1XSp3YiW/3r3Dq0IwmeRxHp/z+E85VylO270u4uroW6owK0CgnHHppo71Yu7mir12ZsW+8Ueh5r9+JxtraGkFI0qcDkG3tyNA/lhdaPyYmpqRDgI2NDetXL8unGTAZjXw1ZlA+59th4VtZs+Z7YmJiyM7ORp2VhaK1plKlSsU6z+di+vTpfPjhh8Wm2pg5cyZrpn5OalwcrnPeJDMzk06dOln2S45krBQTIWXbYQBpe77C6uw8Mmu9aC4sZik7o0cnRIx4BpVDURQOHjyIre39rOgiQoi3B3+cvWQpy0tmqNfr2bZtG6GhoZQqVarI80gxz5aLvQsfvv8ht+JuEeQVhJ2VnWVfijaJVfvOWwj3HgZjZho3tiwxj5UYzekgxESm3kCiSYONox1zZn1JiwY1CN/9kzmgQYzo9IlUAwwm09Nw238Kf8bmlJKSIsHBwbJ169aHZrWsXr269OvXr8j9JpNJvL295YsvvrCUJSYmipWVlaxYsaJE/flf9GERKdpPo2vXrnL7SqJ4O3uJvZW1LPp4hxiNJmk953exDqomWq3WUtfb21vOnTuXr93NmzcLmLOp/lfxpPiwPGxTqVQFMhRX9PEUQDw91WKX4wwJZqfJWrVqCZidF1NuHZCkbyuKcayjjOxbQ2ysreWFFxxl1+aysn9jiBzaUF4mv1dVHB0dRURk/e+BsnHhCxIWFiaAjBs3TsLCwqRDhw7Srl27An5PIiJhYWESFhYmtWrVkp49e0pYWFi++2X8+PGyefNmuXr1qhw7elQ6uDmKlUopcE89DNlJqXKxUTs5X72OGFLTi83+LJLfGTUXRY1vSedC0dmKj0fh2aIfdYuIiBCVSiW//vqrODk5iUqlKvb6PT09pXS1uuLx/EeF+mQ8CEDat28vS5YskerVqxf6jh09erSoVCrR2prvIa1WK66urjJs2DBLnRPLvpLw0PIScWSbANKoUaNCfTcyw3aJcbSjNCztUuj11qxZU0REjm/cK9Nebi+l3V0txwcHB0tQUJC0aNFCHB0dJfbaVXm90TMCZif069evW8ZKRGTOnDkCyMKFC4sdg7vpd6Xy4solGq+84xbaykO0VirZuvXhviVNmjSRrnUryLSX2xe6LX2lsRzubyeAHO5vZ/ZZybNljXGRsMNPszX/FfztPiyDBg2iffv2tGjRgokTC1If5+L48eOcPHmy0JC1XFy7do2YmJh85EhOTk7UqVOHgwcPFsramJWVRVZWluV3cnLyn7mMJx6NGxfuI2Bvb28OP3O2Jl5rICnqNCs3pWLr4Uvm9VP56sbExNCuXbt8IZetWrX6S9lP/23s2bOHjRs3/tvdKBFMJhOxsflZXMOj72BjY83du5mMH+3J90uyuXEzijlz5vDLL79w/PhxvL29sS9VD2O/w6T81A6HvUew0gjhYSr8jeUwKgZuWl1jS1gkVav6cOnyRM5fyuL999cAZr+kcePGMW7cOLQaFZ9/0peTEcXznBRGRZ6QkMAbb7xBTEwMLk6OhGYa2TKsb4HcKg+DxtEOn4mfcmtAb6626UVox/eImXUcFAXvITVZ+v4c+nxxn235QYZmuL/ibtq0KQkJCZw+ffqR0jOIPp3ou+mP1O+iUL1ZJ1TWdry/eAdJSUmorWypP2ZNPi4xc+i4uc/JegOKZwi2ISUjjgPo378/Xbp0YeHChfx+8jYbPt5IniaJWrUFlb071qH1yD76Gw512yIGPd+s3sSvdVuiclWw0/ni+uGnqE6ZfYUupGRQ6rl2OOh/548LV4lc9itqzAqVnnbN+O2lHbh9DlPfeZtXPh5jMVfWrFaTjJQ0di6aCkCrjl3zJfgMCAjg6NGj1KtXz6LVAXNerQfNzzNmzMDKyoo+ffoUe/1/9h11eXscr9arxanvZnB7xTTLeOW2diH6HhvPXudGfDKJGVlU8nWnQ/kAXvhkqjnkX6VGUan59uulXIuJZF2iB06OW+m5052IiGsMfPtNpn0+lbspep6buZ/5juUBSExM5OOPP2bNmjUlTo75FI+GRxZYVq5cyYkTJzh6tHjWVTCrAStUqED9+kU/pLmqWC8vr3zlXl5eRappJ0+eXKzt838FtWvXZv/+/florpu1aku3bt3ITrzDM94N2XJ5Hwv2T+PVN4dBqi++b87BetccIq5cRjGZCAgI4MsvvyQ8PPyRPzJPKtLS0mjUqBGurq4FfHz+K8jIyCTI350fforixk2ziefSpUv89ps5cWViYiIvvfQSRqORPr2GMv1od14OUVh2NomZi2N5pVIam6PusXtXGpM+SyUychHVa9gyeYo3IuDvr+V2VDbz599Dq1OoUGcng0ecRP0Arf7DPgozZsxgxowZGKIiiHqtK+k3Mwl87s/lD3JoXAu1VxWMsWdI/GEItg3eQ+1m5g3JuppEZkQSZn4WAZOYvzAmE5jIydpsLjem6Cnt7o8+KJML1y8Vf9LHDZUGTAaSb54DIGrHMkDBI6g8gS46SzWxfCTNf5xSGfGyvUNBNqT8yM3SDvD8888zceJEzpw5Q0JKGrL7Zxz9Q8lKiiMrOZ6gJi9x4/pJUo6Z2Xvv7f0dlU6HytaNm6/3QLIzUDQaFKMJUw71ftzpExji41DEbMbQKGBEITMzg7nZdQhIMhP5nTkRxhfvjbb0a+e6NdTa9Bsv1KxCm97DuLJ7PefPn+fDDz/E0c6BzMR0kpKScHBw4PLVq4TdjALMzrpvvfWWxfx87do1rl69ygsvvPBQc7RJSi6MgplwD6Bl2+pUtDV/T5w9XLDVacxypGL2P7qdlU3l0t680KASY3/ahaO9FQ06tsexTLV87ek1tmQaYOPmLdSoUYPXX3+dGTNmoNFaYW3niM6YSTYaBEGv19OyZUs8PT3/UnLMp3gIHkV1c/PmTfH09JRTp05ZyooyCaWnp4uTk5NMmzat2Db3798vgNy+fTtf+UsvvSQvv/xyocdkZmZKUlKSZYuMjPyfMAnt3r1bOnToID4+PgLIwIEDi1RJVwqpIAHOvuJoZS86jVo0Wo1YuXqWWKU9cODAf/ty/xI2bNjwr5t7/q7tmWeekaFDh4qdnZ0oiiJlypSRjz/+WOKOzpIN73hLdW+V6NRIkI+jzJ3xkWRkREl6epSkJ12SHxfNktJBAaLT6cTby0PefqOPhG8ZINu2lxFD+p0/Ndb6m1fkQpXycqFSqCRM/+Avz13cotUSHlpeYqYvFhGzGv+75ydJ5Ig9Jdrq+leXVuUayuB6feSFii3/0bl5/fXXZdSoUUKOCaZ06dISEBBQqDktKyvLYnJzdbWWF17wl2eHjCnSxJGSkiKzZ8+W/v37W873xhtviK+vr1iXMZtYPD09LWbDwjYXFxdxatxb2kxdJq+88opUqFCQd6ZVq1aiKIr06NHDcu6iTHQPbm2bthARs8muWrVqUr16dVEpKtGqNPLGM10lODBQdFqt6NRqKR8SUsD83Lt3bwEealJMSUmRrQe2StnxZQXMYdVhYWFy48YNESlI6/Djjz+KRmPmbJk+83P5uHNzGdOxuYzu1kKMRmOR5wEKUDsYsg2Slp4hE0aMlc4NG4mVlZXExZlNJXm/d7FJGRI4Yp1sC4+RuXPnSpkyZUSv1z94iv8UnnST0CMJLGvXrhVA1Gq1ZQMz74RarRaDwWCpu3TpUtFqtXLnTvEvyatXrwogYWFh+cobN24sQ4YMKVG//ld8WB7kYShsa9asmYiIdGvYWar7VBAbrbU0qlBGRs8fVGh9Ozs7C3HTw8ianmQ8KMxNmDDhXxcsHnVTcjYbK53Y6bSWstz9KhWiVpv5WsqWLStLly4tdCyyUyLFmJ1Z4rGLPvLxXxJY7n0xXMJDy8u6997INwcP8ytYvXq1tGjRQtzd3cXBwUHq1q0rmzZtEmOmXsJDy8vFBq3ls88+E0CsdVbi7uwm7Ru2kuM/7pLk/VGSciBKUg7dlpTDtyX1aLSkHouR1BOx0rB2fRnYa4Ckn70rmxb/WuhYt27aUjKvJ0mXWs3lWb8qcvfcNTm89A+Z1evlQut72hXuC6NSqcTf319CQ0OlQYMG+a6vsPqBgYGW/deuXSvyXvB7foRUHLVWKoxYLeXf/1kqfPCL+HcbV3gfbJ3FoZaZ/C4gIEA+/vjjYu8zrVcZ6bUmTEREunbtWngdrVZCQ0MLzFlyRqZUWLleAmYtkM9nzBRA3n333SKFBVO2Ufa/uVJstNby1rM9ZOmrY2TyuDGiUhRZuXhRvraNRqMEBATIiBEjHnrPPYqPU0pKSpFCXO0gPxk2/N0ifbfgPjfNuXPnxGg0yvjePSw+LP5e3tKtWzfLcfkElmSzwLL1XIy0bdtWevXqJW+88YZ4enpKpUqVZNKkSfm+if8FPOkCyyOFNTdv3pwzZ85YEpKdPHmS2rVr06tXL06ePIk6J3EamM1BnTp1KpC75kGULl0ab2/vfPbQ5ORkDh8+XGg47v8y2rZty8SJEy3hhGvXriUlJYWwsDBLnY4dO3Ly5EmG1+5JvYDq2GiskCwtLQ9G0uyHQ9hUakzVZ+ugCamAq4cHnTt3JiYmhnv37uHt7c26dev+k7mD0tLSqFatmsUfKjc8Mxe5/Ca5f0dEROSLXPjHoeQ8WlprUMzPRe5bNCNLT5o+m9KlS7Pg++8JDg6mVavmVKkSgNFovqarV6/yyiuvEBISUiBposbeD5WmZBl/HwcS1m5E66hCadwh3xw8DHv27KFly5Zs2LCB48eP06xZMzp27EjY2dOkmUycvXWRNfO+B2DIu0OZ8+3XpGuzeX7UK4xb/SUD547Evo4P9s/6YFfbm8vqaC4rt8mQLBIllYvZt/B/xhyttHbtWt58801UKhXOzs5s3rWV5TtWM7TjK8zrOg73ikE826cDQ5b9RNXydvRvbMuF4d50r6wlOLgcd9NM1CrjhqJS0LppcXV1pUGDBixatIiTJ09y4cIF3nnnHRRFsUT3yEMy+wYFBVnKN2x8kXXrm3L1htmU5KNKpmUZWyplX6dqylk6Barp3bgaH33zK6Pn/son35pNg93e/ogAPz90OaHs+po92W+6b9pt3qq15TmoVKkSrVu3xhAfBTnmlFWrVqFSqejZsydGoxF/f3+8vb3R6XTcvn27wJw5WFsxMCuem0P78+GwdwFzJFKNGjUYM2YMQD4OKP3NZAKcfVny4lT2Xj9G/2WT+fb7RbxUuwrPNc3/jtm2bRs3b96kX79+D713gmoE0XhlY3qt74XeoC8yMzPAsWPHCo2Cqx3kR7/xr3IvPqFQ361c/609e/aYUxzUb8Dk0ROx0yeTUbo2xtqtiYyN4fXXXy+0j0qOw5IAERER/PLLLxiNRjZs2MAnn3zCl19+WayP51P8CfxV6agwk9Dly5dFURTZuHFjoceEhobKmjVrLL+nTJkizs7O8ttvv8np06elc+fOUrp0acnIyChRH/5XNCx5Qc4KtqiVRtcywVLb2VPK+fpJTVcXudSosYweOVM8ugwvcuWXlZUlbm5uMmnSpH/78v4SAKldu7ZlpQ9mlXHev1999VUJCQkpkebDRqv5VzQuD26VK1fOYcVFrKwUUasVUalU4uDg8FBq/eLwVzUsN1rXkOstqxeYg0dhp81FxYoVZfz48bJl1dpCx6Bbt25mDUnr1iWKEsplUF27dq14ehZuEn2nfs987TQJVMvQOjrZO6qOvNq+rjkSx0crXRpWlOnTp8vYsWPlzTfflAoVKoiVlZUsXbpULly4IKVKlZIGDRpIx44dJTMzU7Zu3Srt2rWz3IerVq0qsnz9hhdl3fqmludZpVJJ2bJlZcBLz8uYF9rmY1599tlnJSgoSADx8vKSoKAgqVO3vgCi0VmJxup+ZJlNcF0JHGFmNq5UqZK0adNGFI2V9PzlmIiITJ06VXQ6nYSEhMgHH3wgLi4u4ubmZtGKF4Zd5y+K5/oDYmNnJzNnzix2Pte+M19alK0vnvZuAsjqVasl6uJ5mfZye7l741qB+kVp3fJi4W8Lxb2mu1i5WP3p++yzsX1k2svt5et5xWtzAOnR5SWZ3K2LjH2tn4zp97qM6f+mHDxyutD6eb93d1MyJXDEOtl8NlqCg4PF398/n0blyy+/FG9v70fu+7+J/ykNS0mxcOFC/Pz8aNWqVaH7L168mC8Z34cffsjgwYMZMGAAzzzzDKmpqWzatOn/NQcLQEZGBs7OzhYNS632gwgLC+PGjRtM0Kq5lByHNv4uyzy8MNy5Q4+132KXYY4GUJcLpdPL3QgLC+PcuXNcv36dX3/9lcTEREuyvP8a9uzZY2G4PXbsWD7On7xMnMOHD2fx4sUlJkvLyC4+C/ZfQg5Xh6KoqFWqPNp8uxTUajXDhw/nypUrDB06lKysLBRFRUCgLyKClZUV2dnZ+TSQ/zSsgrzJTsx6eMWHIC+xWcuXunDhmaaEh5YnZvpCywo6d0U6bdq0AsSI8hCNRmxsrKUczFqXM9N/Z3CDXvnaydY4AFD3ow0sWnfQTCBmrSLQx4Nhw4Yxbtw4vv32W06dOoWjoyPz58+nZcuW1KxZk9TUVC5dusTkyZNZtGgRKSkpNGrUCIDVq1cXWR4TE8fRo3EWPqp69erRunVTvvvlVy7F3OXSpUvodDp0Oh1HjhyxXFfr1q25efMmly9dAGD4u0M5c/K+NiHj8mFuzjCTmV2+fJmde/ZgU+5ZVBoNy5cvZ+zYsVSuXJmIiAi++OILEhISSEhIwNPTs9A5OhoZxZuXb6Pa+jsmg4HevXsXO6d6O6jgWZbZX84CQKVVYZalKJRYsEitW847Lj4jnsl7J+NSxoVvv/m22HMXB2dPc3STPif5aHGIS84gxsqDcQu/Z/z3Cxj/3bfUfabKQ4/Le3U+Pj6EhITkszJUqFCBmJiYfIy5T/EX8beJTf8g/lc1LEX5afTt21f0HziLg0aRQDu13HnZV7a+1Ekmv/dBkatQkf9G7qAHfVXyrq42bNggjRs3LlZLYW1tLXPnzhVbGxtxt7MrkWZDU8Kkd4+06WxE7eBe5H6dTic9e/YsNGeJSqUSlUolpUtrxcpKJ1qtVv744w8RETGZjJKQcFRSUkrOofNXNSyRLzSUqw0q5Ct7cG5KgqlTp4qLi4vExsaKiEjmtdsSHlpewkPLS/a9ZDEajdK+fXupXLnyI/nKQEF+kdzjzkz/XS5+sD5f/ZAyZq1M68qelrImpXUy9KWmBdru0KGDlC1bVp577jk5ffq0dOrUSZo1ayanT5/OtwEyc+bMIsu/+qptofeBi52NhHp7SN++fS0aNj8/vyLvGw8PD8s1k6OBsbYzJ3nMzVfl3mmENHpvimg0GilTpkw+HiC1Wi3ffPONeHl5iZOTUwFH4WenzRbr59qIlZVZu/EoeXZyx/zWhXCZ9nJ7iYu8Uey85T7ruc6ya9eulVnHZ8mzy56VxMxEy3Xmzn9JcgDp9XoZP368BAUFiUalEj8/ryI1/bntt3quvQx55c1i+5r32nPPG5+aJYEj1smms9EyatQoCQwMzOfgO3PmTPHx8SlRu08KnnQNy1OCvicYef00vt55hY1br7Hus5YA6Me5Ud7XhtI+rsyr9BoGk4oUnRudOnVi27ZtpKWl5WvrSc4dlBvKmZvK/sUXX+Trr7+25DHJrfPNN98UmbKhXr16HDx4kN69e/P2228DUFLGDcPfwUmjz8BoyMbOyYe0pIKaHr1ez/Lly7GysuKll14iPDycmzdvIiLMmDGDefPmcfz4Mays1JQq5c9zzzUl4tpsoqKWo9ffAcDf71XKlHkXTY7G4HFD0pO599kQUs7F4dam6sMPKAbLly9n/Pjx/Pbbb5bVvVWQD25vfUT8t59x5bmWTK8cyplTpxg7/AMuRUTQp8PzdHvrdbLvZaC/nYolVtgEIFg+24C91oYRbw5n9vffYEg0r6ozbiSQEa1BJ/fp2a9fv871W9F4OWhQ61PyXKzAAwzCRqORU6dOkZCQwKFDh3B3d8fFxZwPqUqVgivwwMDAIsuDQypSrdoBmjZ9lalTJzN58lSee86P+WMWsvrAUS7k+GaUKVOGuLg4y7GD3xrADyt+4q3X+jJl5lcMeeN1dq/7zbI/L8dP7rsiYc8iDmxKonGjRly5coX4+Hg6derE77//jtFoZODAgZZjcv04bGxtyEjPwH3Qe4haTVZWFkF+vsTdvELXdi05cvIMt6JjLTQwWq0Wg8FAn149GdCvH42at0BEeOGFFyz9eH9VIGq1moqhoXz28ce0btIkZ85MYDKRGBFBRf8ADjo4EJ+QQFrkDbZdXEZln1pcvnzTknLgwrVrHDx5kqioW2SL8FLvXqz6cTm3YmPZdeQIgjnkvWalikyeOIlly5Yxb9489s/9kihPR55//nn27d2LT4YVhjQ9qWmpXI+6aQ6TBzz1gmOmFasX7sLT3YfFq2eTLcn5WJZP5rAsp6amcvfuXU6ePElUUrbl1nn77beZM2cOQ4cOZfDgwVy+fJnPPvuMIUOGFLgfnuLP46nA8h+Bt50KX8NtPv1mGSkJd7GRwWj9trLzyhWCtB7Ua1CfLo1r0aTJLwQGBhY4/knOHZTrUFunTh0++eQTNm3axC+//AJgcUAePXo01apVo1+/fvkEmVzk5hYqLGFkUVCpNJhMBlzrdefewZUF9isouNu5cDftHgDWGisUrZCRUUIVr8lQqLAC4GBjQ7devZg4cSLvv/8+V69eZc2aNaxevZqff/4Zk8mECOj1Rj6d4MPxEy3R6+Pw8+uFh3tLkpLCiLg2g8hbi3F1yeXpUe6boHIV1opCVkaOkLe6Pyglc9Y1Zhi48f15shLAuW4gHp+VfFwfxMqVK+nfvz8///xzPoJIAPd3ehL/7WdMuH6RHWePs9Q/AL95c6kHWCeYOVqS1l3jzqWwfMel6dO5nhBl+f0MIfid1aFKMpJ5Nh6Ar778ip97fkVqdgJgJsZ7/fXX8fZ0R50aTUqWcp+fSEwcPnyILVu2UK5cORITE/nss8+4desWc+fOxd3d/U9fP4AhO4m4uHQ8PT0QMc+NSgUeAaXJ3H2QjIwMbGxsKFWqFNbW1pbkmbO/nU+lSpW4eccsxMxdvJTvlt1PL6CtXhsUFQ5vDydhxCAk8R7GpLuU7zWAF+tVZciQITRr1oz169cDZsE+KiqK27dvYzDcN4VmpJuTFN5buwoyzX9nJCdzKewkVlotbmoVt7DIh2Tn5NBauXIly35cbhFS5AHh32g0cvX8eV7o1YsVgUFUzGPmDwb2xMeTneMecG/KF7zU5FOSrwVx+MBdS72ITSk4XLwH2NLU6Q24DaSsJf6snt8mHmDbqZ+4GXeZ5PR4XFxcmDBhAk1bNObiD99StlVt0pI1TBw1htm1RnE3NY6h6yay/8YJS/vL9pm5nF4Mv8SM9h8Rd/wyp1IvUrZsWaKioggNDeX06dOW+rkEi86evji9Np9Szjb4+3mzefNmhg0bRtWqVSlVqhRDhw5lxIgRJbtBnqJEeCqwPEFIzZNfBcwswCdPnsTV1RV/q0wu7l3G4c13aNtnEJ7BFXm3blNefbE9khBJeU87vvnmG/bv30+PHj0wmUyocvKHPOm5g3Kz1Oay17Zt27ZAssxatWoVmXtFpVJZGE+dnZ3JyMjIx4RcFEw5WY9NqQmF7hfEIqxADpFVziJc0SmIvnjNjKOdLZlZJvQG84rfWqcjU69HDdja2ZGVlcWyZctYsWIFRqORjh075ggq99s1mcDHpy7u7jZ4ebbD1dUsnLi6NkDEQFp6BJbPSO5HI5+WHmzsSuMcI6jUtuS3vBeN2K1R6FNV+E8dgV2nPoVm1C0JVqxYQb9+/Vi5cmWhwrKiVjGncWN2/PILv034irLevpZ96efsAdB6a3BoHpBzgHk7dfIgHWbcj974dMccADxd3Klbuh4chwTMGhRtXRfATMSYF9cSs2nXqCbXvzAT4WUalfusvi4uBAcHIyIMGjSIQYPMLLy595lGo+HiRfNHrSRwd28OLMnXBpiwtbfPV+/mzZsFIlrOnTvHuXPm6KIHI3uyTx4D4N6A/IzgF5bNY9Ay89/btm2zlB88eBAvLy9cXV25c+dOgX4GWCkMG/oWQ0dMxNnVhWrPVGFQj44MGDMDbhUUvk0oCFAxNJTwixfz7bPSaMkyZJMugqIozPfxZs2XX5olNUXFqi2bmfvZZ/w0ezYdBw3Cffi7ZJy1w8PqFv6vVTUH2s2D4HaO1GnukcNCaxbFF53QUaqCHcGNbEnzq071qIYs+30a2dnZWFtbk5WZST2PztifcOG3i9s5GXkBaoGplQOV0qrTu2pfvvn+OxrWq8/nEz8jW23NwR/PQXQWpezdOHAjjREdPqDOGy04e/Eww4cP58CBA/mYocf+dpbD1+5Rxc8JMAuDhw4dKjBG/zVIznw9iXjyvl7/j3Hs2DGaNbvPIprrSNq3b18WLVpEanoimelZTBj6Glqt2X3TY/16hg0bxqxZs/Dz82PMmDGYTCaMRqNFYHmUcMJ/E7kOiT179iwgsOzZs4egoKBCwxfz0rMnJiY+8nkTz2wuUT298b7JQJH7q01LGfnLktPuG6UURUGVE+psBGLj4vjhhx/Yv38/U6dO5dSpU2RkZLB69WpUKpXFeXTcuHE0bjQKnU7HgyhT5t2SXeAjwpiYSNL4eniNGol951cs5cUJ1IUlLFy+fDl9+/Zl1qxZ1KlTx8JcbWNjY8mSO2jQIJav+onffvuNgNDQXHkQJycnsueYGVztanvj1DK/1rB980DkvYJpO5o2bYqulFkI+OSTj+AqaGys2bdvH6VKlTLTL8SeY1ivltwz2fP7C0a4eQDsPGhSpwIzf9phaSszMzPf9YJZ05eSksKsWbPw9/cv8ZiqVFpcXdXExsZa7ldFEVLS0rHWati+chmCWSCpHBLM2UuXGfJKL1xKlyMm8ia79h/gwoULvP3223z7bUFnVG2VGmRfPo9tpSpkG0wMXzKNKdWa0rRpU3bv3p2vbmxsLFWrVi1UYKlZozZDPpzA0BET0dg5YucbjHONNtR77jzJcbe4eS+LDL05sapWq8Xe3p6EhATUD9yfTioVyYb7z4uNjQ37z5zBLof1fOXKlQyaPJmff/nFLMgOGoRN2XJkhhtwsdZQr3p1y7HBgUHUrpzf1GZva4u7iysD+w8AYMqHqwCziWv69OlUq1YFP7sQNkTuYNulgxhNJpICkqnVoS3PdDJr+Vb+tgadnQ32Xm4A2N0zL3JWn9vC0Hp96B5Yj7NnjfTo8yrbtm3jyy+/ZNmyZZY+pGYZsbP6H/uEPplyigX/Y6P930bTpk2LpUr/dd0afpz3G6uWr6HnKy+jKApNmzbNx9Ny9uxZfvnll3wf8Scxd9CDfitr1661pIIvTLCKiYnJt7rJCwcHB1JSzKtpZ2dni9Di6+tbKNeEnZ1dAR+fh8HV0Zl7yYmW36bsguNZ3AiLCOlZBSMWrl27xkcffYRKpcJgMFgEFXt7ewICAnj++eeJjIzEy8sL+wdW438XYqdNA8C2Tp185cUJ1LlRWXm1A/Pnz8dgMOTTUOStDzB37lzAfO/nxaJFi2hnk2OG0ZbsNZWammrxMQC4cSuSc7GgumHLgMGjqF+/PsOHD+erD14DwGjrzckYc39TVY7c1fhw8uRJdDodFStWxNra2hKVlotcqvUHy0uCihWt2LFjx/1nUREu3IwkwM2Fi5vMfikmo5GMRLNWL+HmdVxKlwOVGpPJxOeff87y5cs5ePAgdevWtbS7cuVKXuvXjzafTOBU3YZkKdY4HF/AZ5FZzFu9llA3s4ZJURRGjhzJ5MmTLb9LgqCgIGbNmkXT9QtINdgSFZdiOV6lUqFSqSwaoFwkPZDjKT39vvD+MK3bn4GSM6Svv/46a9eupU6deiiiUMrPh35v9GfhwoVUGlj8ubRmOQy9IRuDRkciQuXbmZzYHIGNjU2BDPFpWYb/PYHlCcfT0f4Pwd/fn449mvHbD9uJjIzE39+/wEsn1y5tMBiwsvrnyMUeFbl+K3l9UnKFiAEDBjB16tR89VesWIFOp6NLly6sWrUq3z4fHx+LwJI3Eaarq2uOwJJf91FAWFGpURQVYszvdJkXeYUVjVaDoZhQaEUx89cqigoXVyfu3UsoUmAUEWxsbEhMTCQoKIgbN24A5o9veHg41apVA2Ds2LGMGzeuyHM+TiT9shqAtP37sQoNtdxjDxOoH0xY+GBYcmEorr20I+EApB+9Anny5BUm7Hbp0sVCIJarhfv403EANAx7xuxsmxMqvGzZMrP5TLnAhsO557/E8bOXWL78vn+IlZUVmcWExRalcbKysiIrK4uvvvrKUm5rZ6BuPVv++OMazz33HCkpKaSkVGfH3n2sW7fO7NtiMuGy/RC3U8wfd/Erzfnz59m8eTPVq1fnk08+Yfny5QQFBVm0VRs3bmTgwIGsXLmSzp07o9ensun0dg5LTVTHD7Hs+CFSfPypXK36w6aieJiMYNCDkl9oTkhIwMbGhoyMjBI1M3z4cGbPnl1A65aL49cPM2vbBm7MH2Txk9m4cSNBQUEWTV7hMN+jt29eY0qlgUwKfpP09Aykuxur122gTJkyD+2bCgEUagY/y8831tHti9cwLY3l+LlDrFmzBqPRaKmbnJnNhZhkqvk7l+i6n+Lx4KnA8h9DhQoV2Gi1l4XfL7Qk88rrqyIiaLXaJ9JXJS9y/VYeLAPyrR7zwsPDg2rVqhUQWC5dup8AL69mqUmTJpw9e5aidR85gozJiFqj8DA2FrWdGk9HT+xsbEi9cYNYoxEFsFWpSDWZcLBSSM400bRpEy6fvoq7UyDvvNeLt4cOoWJALfrW8cBoMjF2zSb8NFr+CAnlvdRUHJ99BiAfp8i/ifJnz3DrncHc+WIaNlWrYvvMM/9KP6wrmE0ukpXfybkwYRfMAlWTJk2oXr06M2fOJCkyhpSvL3Mx6DaL9v1BxYoVWbp0KVXL+qG/upt79uX5ZlgXQi7MYrntGwydsoCLefwwCtNA5BXKitI4tW7dms2bNxcob9XKnnXrfqdr15dISEggOTmOBQsW0KZNm0LPtWzZMhwcHGjbti2HDx9Gr9fz4osv5qujUqmYPXt2vo9/k+CmdKrtRFxyCj/u3M2tPbs5dsLMlrz/8GEaN26c7zqLQ1paGj179uTYkUNcvmFArUq07MvOzkZEHklbuWXLlkK1brm4GHMePxdvTt0Mt5TNnz+f+fPn59PMFUDOI551Lw2NjYpbz6aAVkXtqlVZ/drrvPzyyw/tm2efity4ksCXXb9h3KQPqFy1Eooo+Pr689prr7Fw4UIATCbhzaXHuXkvnU87P7qm7YmHWW57IvFkf9WeogBUKhVdurchJuouNi4qi5AiIhb1bEhIyBOtXXkYPv7440LL/f39i9z3INRqNcqJpQ+pdV+QyRsxkQs3NzdMJhMJCWanXGOakei0/I6HAqTmOmIaVFxrVoXk41FojEas7FI4tXAHRpOJC7dOMuGOhmqVKqCytkHt74/Nc804/+23NDv+t/A3/mkoGg1+c2ZzuVkzkjdv+ccFlgc1F1fP3+TE0aO4e3kREBDAnj17iIqKspDMnTt3junTp3P+/Hni4uIQEU6ePElWfBKlUFHWL8jie7BlyxasdBqOxRqJvXmZqn0mMeRZLdW9v0FRrPD29i7Qn5UrV9KjRw86d+7Mr7/+ail/mMYpL25H/8L58yNo2rQp8fHxfPnlCHQ6hVdeMfsIiQi7du3KJwABpKSkkJGRwfXr13n11Ve5fv26RXOV659SlMnN3dGBEJ2ad6dPs+zbu3MnYHYQLcyHBe6H8GZmZnLnzh3s7Ox4tfvLTJw6nWyTkZy4csu1161bl0OHDhEaGsqlS5cs5aW8vYnKEaJyHeMnTpxocZ7PO881atTg2rVrNAhuSoivjnUnt1t8oo4fP063bt0YM2ZMoeHFOp0OVU7kVVTkbdaxk079XycqKoquL7yIyWTiww8/fOgclQl1p0yo2Qz566+/Enn1DjHT95HVuSp/bP/OoqWZtyeCQ9fimde7Fo1Dik8981+D8qRKKrl4HMQv/zb+F4njHobrZ/55gp+/C3A/GyvFkLHVqlVLOnbsaCZXU99PVpebhPPBzT1PQrvSLgXJuHLJsRRFkfnz51syyRa1lQpwlbK+3vJe68bibWcn7mq1TAoNle9r1BSVgtgpikzz8ZFyOp20d3CU1YFB0sreXl6p2Uh+W7tWOnXqJK6urgLIc889J80aNhSVooiLVpuPIKs47Ny5U2rUqCE6nU7Kli0rixYtyrc/OTlZhg4dKgEBAWJtbS316tWTI0eO/Kl5iZ44SS4+W0cM//BzVVQ6ild69RaR/InvABk9enSh9QP8/CRyxB6J+OOgpe0mTZpIz44tpYK7SqqGlpHq1avL0K4NZFFna1GrVRIQECB+fn7SqVMnOXv2rFy7dk1KlSoljRo1ks6dO//pa4qK+lm2bS8jJpOZuv348V9k7Nixsn//8iKPOX/+vIwdO/ZPz59I0WPZsmXhWa7zkszl3bxdXcRKrROtKn8aC2trawGkXr16MnnyZLG2thZXR0dRFUMs97C+NatkJvDr27evNG7cWPz9/WX27NkiUnR6hqMfbBNA3m/UX0q7+4mVlZW4ublJnz59JCoqqtCxKSytTF5EXo6XyBF7ZN+Oy1K2bFkZNWqUiIh8vPa0BI5YJ1vOxfzpeXlScfNcvJiMpn/0nH9btuYnFf8vBZZ/gZHw70JxQsI/tTk4OJSonkalkimvvCSeri7ikCNoFLdpQVzVatGqVGKl04kqh43UxspKalerJt2rVpU55cuXSGCJiIgQW1tbGT58uISHh8vs2bNFrVbny8Xy8ssvS8WKFWX37t1y+fJlGTt2rDg6Ov6pXEQZ585JeGh5iXjxpUc+9q/iQcbj77pMkJvv/i7xy3fmq5c7brksqLkC6NChQyXpZoxEjtgj68fOk3ZzG0uHuU3EsayT2AS4i7Wzo6g0GrGytpJODSvLgX62suSrSRIWFia7du2SDh06iKOjo9SqVUsWLFggffv2fUwCi5kJ1WQyydy578vkySMkKyut0GNy5+/AgQN/+ry5iE7PlLFjx8pHs2Y/0nNhrSl8MfDgpjyELVqlUpXoHp/z5nZZNG6G7F0/TvZuGi9v9msuDvbWsmbZ27Jz3fty5/aVfPVTUlIkLCxM1rz6vQAydPBA+X3dmkIzS+ciN1NzrVq1pGfPngXYfg8dOiSrV6+WHesPyy89Z8sztRtI6dKlJSEhQUREDl6Nk8AR6+SPU4ULQv9lPOkCy5Oli36K/7d48cUXH5q3BMDB0YbqpRuhVT9ek1eu025h8PbyYuOKZdQM8ifAzRnv5t0IfLYuvkU48gUGBlrMdK+3bo2VooAI9kYjDW1tqWtrSzOdjqWZWYzJ0tM2OKREffz2228pXbo0X375JRUqVOCdd97hxRdfZMaMGQCWsOjPP/+cxo0bU65cOcaNG0e5cuUs0TiPAuuK5qzAmWfOYMjDvvpPIC0tDRcXF3x9zbwsb/z6CZuv7CT9lJroz1YVMMVkZWVZsnOr1WpmzZrFJ198hiDYiwPuGhfsxY6Umylk3I4nOyMTU46Z4m6Wlnr+Gl6pYUv16tVp0qQJa9asQa1Wk5KSUmS23r8CRVFo2/ZlMjOtOXToJ0v5nj176NixI76+vgQHB3PhwoV8zp4PIjo6mp49exISEoJKpeLdd98tUKdp06b42Fozfvx4Phs6+JH6mWkwolMrhL1pV2y9B+cjL9QqlSXHjj7pLvqEWAwpSZjS0zFlZSF5/M6cSMDnmcVkaH5i3fZFLP5xJ6NGlMbW6QxGmzVEXNiQr+1jx45Ro0YNXlhsnqNZs7+hU4cXCs0snYvcTM25BHA1atSgXbt29685M5PRo0fT5vnGvLF2NN4+vuzbtw9nZ2eO30hg+E8n8XK0ok2lgubD/wUUPZP/Pp4KLE/xRKBXr1788MMPgDlMuSh82FrFolYn6FXFVGSdBxHg5PPQOra2tly9epVJkyZZHCAVwNnOjoqVKtGmey8OXrzKmZtR9H2lK7vWraPHJ2MY2783Z0PL84yNDb1dXDhbvgLrbO04U6kypytX4a1bt9hethw3f1pJdFQUG48dI8HXF09HR/N569QhaNVPxfTsPg4ePFiAKbZ169YWll+DwYDRaCyQNLSwkMySovRvvwJwb8nD/IEeL9q2bUuPHj1o06aNpcz1tYZonO9gTPYh9ovV7NmzBzCHwZcuXZpnn30WAC8vL9zd3VFUCheDbqPV6ljS/1eqJzdGDIKiUjDps7Ft2goXDzcOHTvJ5isG2DYW7l0D4PDhw5ZEh0URFhaFvEKHoij5/F7yIjDwGXS6LOLibrNr1y5q1qxJ8+bN2bdvH127drXUM5lMBAUFoShKge3DDz/Ew8PDwgRdGNasWcO5iGu89957zFz7h8V5tDh4eXkx7eX21A7yo06AFTXmFe9Y6+FRuC+Hn5+W9h3sURSzj9iFG5+wN6w+u4/WZOeBKuzaWZFDS+8T+vX+titaSeH0Fn++mhPL6tW/M2p0OK077EVM6gLt5/oRXRyxh3Mzj1sWCrnOuYsXL37kJJpNmjQhPDycY1sucnrIH3w541uL4HziRgK3kzL54fU6aNT/g5/PJ9yF5anT7X8UGq2KzLRsrO20D6/8BKKwkNADBw4AhTvA5mLSmjQ+KXrBWQCKAjeLoMfPi/T09AKspQK4OTpw5MgRbt26xddff20hRrNVqxjbqyfHQkM44PsHqd/NJ87ZhdPP1ESjKJR1dub4zVt8umUriVmZpL7cjWnTpnHs2DFu3LrF0llf4Z6ZgV3DhqhyBIx79+6ZIzKOHePKlSsMGTKEmTNnWvqTGwXStWtXjh8/zo0bN3jjjTdITk4mIyMDBwcH6tWrx4QJE6hQoQJeXl6sWLGCgwcPUq5cuZIPWh5Yh4Zi17gR8QsW4NKrJ9pCnFL/LuRGkk2aNAkwO256j+xC9MTVZMd7ELl0CwCvdXmZ6Yvmodpk1gI5OzqRmJxUoL2NGzei1qrBToWSYiLj4B5s7a1xc7Jj3009rSs6g60rKSkpdO/eHZPJRKlSpR6530VFMT0IgyGDsmUPkZQURc+en9CuvRsD3izLR780Zc7X3wBwMDuQ8I13se8yjkpisnxQMu/e5Ory8RwkBAeHyuy5BJfvZRN14Ap7Rq8t9HxGbV0yTyrEHz2MorVCsrNQbOyRjFQAS3h4Ltp9NZe4vqPoG/s7726azeu/Z5BuUqHRKCiKhpYt27J27f1zZWZmEh8fj0Z9mncGd+f4YWv2/TiFiXN/IsjnFJduxOAtrShjCMEkekQMxN3bQZr3XY780BjBiCgGtoen8uXs7fy0anV+nhbFhKIUFFryVCh+Yh4R2ZnmF4217f13rKejWbPraleQyPEp/n48FVj+o/Au48SNs/GUqf7f9FIvKiQUKJbTwajSoDIZsNVCaglS+mh0arKzHi7hODk5kZWVVYB342p0DA4ODsybN69Q9fIzeSJozkfHsOn8eQIDA7l+/TqxGzfifuUqCRcvAkYmTpxI/fr1C1B858JgMFhWy7lmngeRnZ1NmTJleOmllxg2bFiB/T/88AP9+vWjVKlSqNVqfEJ9KNesHHcv32XIjiEo5KzOC/sXxRwq/0DZc3fP46tWYUpJgX9QYCkKdoNbcuj977h928zTMf9Hs2Zuz7WjAERfjyLDkP8eOnnyJFevXsWoN4BRAaOg6HTcizULOTeTtWzJrk252/EcPHiQqChznqKoqCiioqIsWreSUPIXFrJ//1t6X+EeETENd4+bzJ9ni4+PK4MG9QRM+NZtTNatcNIv7CXIAUL8bFAU23zNHTz9O47uPjStU9PStxidCjc7DTV9rB48FQLEZRvJdnHh9vfbcKtQg7jTh3Co2prkw6sLvY70QG/8TGmoPeqxMGED2dbXcbKywaBPJCEhi99++42wsDDLvWxtbU2pUqWIijrJgQPpdOnSjSGz1vPbb9sti5A0xxokeTazcKpM792OrXtPkZ55i7iEbFwctdxN0DN19LsF2JGhaLI7Jd8YPx4YM819zswZyINX4xm68qR5bLKM8M/wOD5FHjwVWP6jUGtUaLT/XZVkUSGhiqKwdu1aS9LDB5GdQ9hWEmEFKJGwApCUdH9FrigKK1as4M7erah1OnZG3uXKlSusWLGiwHHF2e5zP1zndm+nctMWdKlcjg4Na3Nq2XfokrviV6EyTp5elvqenp4MGGCmGi9Mbe/t7Y1Wq+WLL74AYOTIkaSkpODo6Gh5oZctW5bdu3cTfjucN9e9idHeyN35d3HwdsBgMiA5/zP/P0clnvffB8oAYrLj0TmpqZBHS1MUeVtRiI6O5r333iugPXqwnQfxYHh+dHQ0vXv3ZseO+xT6qXoz0dryU2Yq/4zsLAxiIuPcdXammPhs4Wz4JE8jRvN1SXwcgllz42qv5Y2vdxDzWQW0Wi12dnZkZmZa/EccHBzw8/Pjp59+eiRK/lwoOdZ3EbOWwGQycTv6Z9RqB6KjHencuTnNn5sJQIvIhWyoGMLlC3sZ1qUeXbq0y9eWXq/Hd0wfRgwfzkfv3NdANP35c6pXC2LmoPz182LXrl1svHWVuZPH0afPoXz+I9euXaNdu3aEhYWhKArR0dEEVKtMx8U/4Pjuh2wc8DGuWoVGzR1YvtzM/jpq1CiOHDlCUlISJpOJKlWqkG1IITtbqFGjGh99ND6fxjR3YaLT6dDr9bi5uZGSYmLt2rWUL1+eNm3aEBt/mQ8+nckHn860HNeiRQtGjhKKk0oed/obScsmE6HlrL1U8nUkMd0sIPetF4i/q83jPdlTlAhPBZan+NtQ1EetqPLcD9Ybb7xRbLsu7joS4vR8P8CR1+cn0yBIw/7rhZuRPLy1lA6x5ciegiaCwqBRqbCzsWHq6NE0L+uLp4M9v6/djN5oZOXKghmdO9csw4BmVXPzDprXYgIpmXqW7Q/n4JVoUrLML7pb8YlcP2lmYd30jVmDUmbGYjr7uJWob/Xq1WPDhvxOh5cuXaJevXr5ypL1ybx38D0c3B2Y/ux06g6sy+eff86AFgNKdJ4HcShhBk6fzmfdqF50nGJmgi2p2SMXWVlZhWqPHmzHxsaGiIgIwOyzM3fuXLZu3QqY/UqysrKIiIjAycmJpKQk6tWrh16v5/jx4xjF/PHVSzZGo5Etx46RdnAvVlodRjFhMBhQO2txLOdDwrH7mjKTyUSoczYbh9VnVVZjxo8fj0qlQqPRWJKIuru7Ex4eTlRU1J+i5b//oTX38fiJlzAa0yhT5n1iYmbg5eWVp6oKjZ2TZdwexK+//kpiYiKvvvrqI/fiyy+/BKBPHzN1cMrR+yadXGHCzs6OH374gRdeeIGMpOR82sBIYPl189/p6els3rwZjUaDk5MTCQkJhIeHY2urIyPDyMiRY2jXrj116tRh8ODBtGrVitGjRzNt2jR2796Nk5MTaWlpTJ8+3eL0eunSJUJDQ4mMjOSXX36hfPnybN68meHDh3P5shu1KxS+SFMAeQwSi5iEzEsJZN9OxfdiEudtVPSoEsCJGwlEJWYwok153m5asoSX/1lI8YLhv4mnAstT/G0o6qNWVHnuyzmumIgUrZUGk0kD6PnulPnlVZSwApCRLpw+llriPttZWdGidm3OXL/OV9v3U87DHZOY+LBZfXzs7bmXns7Wy9c4fDMKF2srsrKFlHSjRSWtAAajiU/W7MfR1or32tTG1c6agT9sN+cd0aq551sG1xuXuRhUgcl/bKG/ymyXf2fHQTarbFEcnbiZqef27j3c7dOHuQvm4zjZm/5iz5wrcXzQ1IUXB40gJSWFyMjIfELM5s2bWXhmIRFE8F7Qe3Tv0J3y5cvz2muvlXgMHsSz3Ydy5rP5lPs1jPO/VuCOowd2QGsR2GxOrBf+/ijcJpoJysyxrAqSMyi5H5IuioIcOoVcvUZkTBzbDp9Bqyg0Adh5GABTVhanX+wLikL4vbu4pSRa+nH1x5+xXb+dUJcGaN11rDu2iMOHDpuzaOdBrlYkMimGDxv3Z86hZRhUJjQaDZmJmfmElVy8vT4L2237SM/aae6HyWRhcjUajURERKAoCpMnT6ZVq1aPnM1WUXI1LMKtW8tITj6Jm2szSge9DeQ3/6mUB9No5sf3339P27ZtLY6gJUVaWhp79uxh5syZDB06lLCj+3l+dSI3pnYoUkPm0G8gdz4ZwZrrRxh4TcehGk4k3ZxC9WrzsbOzIyIiAk9Pz5xrVHBzc0MklZQUmDv3S1566VXeeecdnJycKF++PA0bNqRhw4a89957zJ07l8zMTEaOHMmoUaOoVKkS48aNIzIyEhsbG4sQ8/bbb7N161Z++Xkrz4z5ezQspvRsUo/EoLJWk/jrVQBsa3jSvGMZWtpqERGikzLxcbJ+SEv/cTyZcooFTwWW/zD+7fCzDKOJDJMJvUkwiuCl06JR3b/jC7XlA23atKFFixaWD0v8vXtsOHiIPTHxAGg8vTHciSlwHEB2loGkLLOAcu3mw0ObU5PvCzN5kyQWhaSMDFbv3o1Wq8UkoLdz4MixjflWma4zZ3J25IcEKSpCn+tEtzyOsWAOP5at5zl84YIlq/bAHxS6VoyjbYUM3EatRVGp2LlzJ98995zluKjZn/Pt7M9xatMJfVY2+nuJRJ29wMUTERwDgm1TWd9Nw7DNyXzVYxTZqGn7wou0atXK0sam85tY+/laTIkmxrqNpWvXrkyaNMnSjz8DlUrF3PcnYffHQYLUqfi5Opt3KGbBhGP7SA6uRHzZCiiKoJLc956YV2u5VDsCmEwYIyMwuHqQUbnG/f0icGAbepOJ3icPYjKZ8HZwpENoVYg0a1w234libdQ1DKajlr49KKzkhzDzwBIyss1+SQ8TMtKz8ueSetDcJyIcOXKE2bNnM2TIkIeOW36Yz52aeoHoGLNWo2rVeYDZ1BcbG5uvqj7VnBPrQZPYjRs32LZtG2vWrHnE88PPP/9MVlZWofQBF29d4sD5g5hEEDGZzYZAPDqmXYvm+N1UwJX9secI22r+aDeqo6Z9wzKcuaEnS28eOxUmJn/Sm9eGzEefcJG06L3UruTFtykpRFw6S5eObdm6Yzfp6WYfI2tra9zd3fh6zix27tpNhw7tMRiMZGRkWCKhAgP8CQjw4+LFLLJTITU2HTGZEJNZIyImwZocE05EEhhN5nKjINlGswnQaEIMgmSbEMP9zZioB0XQR6ZgzMnWrGhV+I6th6K5r81RFAVf56dmoH8bTwWWp/hTOJmcTvsTl3LdAQB4wcuFbyoGFntcYQn8PtuwlYg8XBdFCSsPIjY69uGV8uBhwgqAs0qFHuHsll/58OtFaDSaAg6y33//PS+Udeb8tVQSVyzlyv7Nlu8xAisuR1LZSsPAfn35fct2DDrzx8o2OxX3bD1xidG4u5aiWbNmBT6K2SZBq1Jo1KQJrs/UJmDYSIwCt6y88MuKpWmQhrA3zd5+urk27PEMoPbBcNq5mLBOP8gO1x0M+XkIUxtNRa0qLqLi0eDi6sGK4KaoNCm829aJYLdStA6pbM5j9e1k6r7Zu8Thv9MuHqF09ep0nHmfMn7Pnj2waCY2trbcTUuhX79+LFy4kHN37vu1JGdl4uPjU6ivS2EwigkDRqzUWvTG7IfT6Ofw5RQFlUpF06ZNOXLkSInOnxcajXnOjh2/H66sypmfvKa+1NRU7l6/QfxZ8zlyEyrmOqn26tULnU6XL3qmKLr60qWDuX0tkdLl3VCpVHz//fd06dIFNzezCfIGtkAiAJMTtMyIKfyDPO16LGDOpD5o2VmSvpgPQG1DJpd1JoLKwi/nzXX91Pd4NX4lrwF2O2Zhd/sbXgUmOppYv2m7WTYF7LSQaVTjYuONI7506PgCD+qVOj7TDxuM/HLsB67fuIlGpcFvT3kS9xwvtJ829zKJm3+62HkoDq59KqCoVeh87fIJK0/x5OCpwPIfhtZKjT7DgM7mn5/GqCw9RoGvKgTgolEz/GIk8fri0weeO3eOVatWERkZSWpqKrNmzQIgsWptvAaNYE31coRt/ZV3uvUptp2/E7X83LkUncDcOXM4czYiH6EUwJEjRzh79izzvv+MD0aMR+fjimO9iuaPnQIoKm5dvMah+HR6JN1jw4YNLP3ufb6aF8vc20H4vN6fes5F88JoczRUakWhtK0VMyuYBcALqgUcun0WRaVFUamwcvDEe/Fg2vq44uDqyLKLP2CfuAIfOx/er/3+YxVWACZ3akST0NO8teQK0/8wAZGU8z/BtkGvPpb2cxPoDR48mKlTp9KxY0d69OhBy5Yt89UrqbCSi+zsbBRFQQCNosYgxThhP0SgMZlM7Ny5kwULFhRbr7CQ/cDApvj6LKBUKTfeHdaHyMgImuco19566y3mzJnDhx9+SOXKlVn2yVjLsbl+JX379mXhwoWcPHkSDw+PfMlN8wrUuWRoAQGBLH3lB8pmwzYHFZ4dndm3bx9btmyx1D2ncgFuA9Av5QanPhvO2TPnuBN7h/kL5zIA+KycLw1rhXAv7Tr7f/uNCdPGM/O7mbz7ytusvQSxmVZk5Y3q01gjr26E8Q0I82zLvJ2XOXLqKveShEplvZg3thNXrt6m/4SNmMSEvRPM/3Y0er2eDdu2MeWrOZam/jhqdjy31dqARsjM0pPdwBOVSmt+3lQKm/ZvYtn6Hwm/cg69IZsKpUMY1W8YLes9B2oF1CoWrFnCgl8Wc/N2JKBQMaQ8Hw0fQRPv2qRsu4l9w1LYNyqFxum/m3/tceLf1twXh6cCy38Y7n72xEWm4hvs/I+f25RzV7d2c8RJq+HZmHukG4snc8vMzKRq1ao0bNiQ7777zpIq3qio0AJ3YtdzIDa82DbyoXhT/5/C9pvmhHArdx/mbmo6/fv3t+zbs2cPffr0QaPR0OD1j6hUqRK2TVvg+YBJSPWzD65ZcQzv9SIjRo8m7Ogx8/FHrmLr1ZzIW7cICAhg1KhR7Nq1C41Gk5NVGkJCQhg8eHCB1XLFio2hfGP0ej3h4eEIYNDrcUy6R6/MeC6nphKhWLO56+ZH9q8oKdqEVmXLcDdOR99m0vpwrkR6sOzEwcfSdmGZulu0aMGLL75IakYWm9b/gZ+LE0kZmaRkFnRELQ65mpVihZWHaFfyolevXsXuLypkPzcpYVqqO3fuXCIrKxYrKy9Kly7N+vXrGTZsGLNmzcLJ0wP3Bl24smZ+vna3bNlCWloaJ06cKPT68mLzyrOUPZnABX8bykems2zBPjp06EDfvn2Jjo5m+fLlJKqc0ceazW2piemUDixDt5e68+abb/L9vMUAjHzT7ADv5eVFREQEs2fP5oWWXXiXt/Hxdmb29JX4+fkREmJma07LyEA5ZzZXmZwqUqtRBa7fWc29pAuUrvAMDfrMRztrKC52NtxNScPWyYk6rc1zP2rqF5b+V6hQgfPnz6NWVDzjV4UDt8JQq9WU7hia7zrPb7pAx+4dmd5sOs7OzixatIhuo/px+PBhiyBXNroCnzecRnBwMCLCkiVLeLFfD44fOIKLSkHjav1UWMnBE+7CwtNcQv9x/Fs5hX6PTRCvHWGSoM8WEZHXTkdIj5NXiqxPTh6RLVu2yKxZsyy/Aan/yUTx2hEmXjvCxGX6d4+U6+RxbR62Bct69OiR7xrWrFkjOp1OevXqJYBoNBpRqVQSHBws69evt9RrWKW81LW1lSXjRxR6rr59+4qIObmbp6enfP311xIWFibnz58vtH5gYKCl7WvXrhXe/2plpMoP9R/fBBeD+Yf2SOCIdRI6frHsvnLRMpclRVFJ5/LeE2vXrhW9Xi9lypSV+qHBAkjNGrXlh2XLSzSfpRzNSfycnJwe+72yePHivzR+en2ibN8RLJGRPxS6f/jS76TehML3lQS3biXJ6RG7Zftkcw6iXYtPyeIXp0q/3u/ImjVrBJAJEyYUeW8C4udnThb6+eefy6VLl8Tf37/Q+h07dpQbN25YfttoEJla2jKHCxYsEHt7e8v+6dOnyw/DXhJPBzsBpFy5crJ69WqZMWOGWFtbi52duVylmHMPaVRqUTDnKVKr1SW6/ooVK8r48eOLrePi4iILFiyQO9+fkTvzTv3psf5fQ+T5eDEYjP/oOZ/mEnqKP4WSUorDfUl83+7d1KxZk8U1QlhRpzJaB0cURaH6tK9pe+wSrfecoEzPVwF44aWX6DNoMGcuXQZg+vTpAByYMJpKs7oxxjCJdd1rcyHhdpE04w92Qm2npv03tZmxtvFfuHK4m57/t6u9rSX6IRe5XC3nzp0DwN/fn759+/Ldd9/lY0StW6k8N/V6XmzWABFh/4rBBLrpsLOzK0AbHhsby8CBA6levTrly5fHYDDg4ODAkiVLCqUNDwoKKpRavPH0N/knMm2cjYnk6x0RmPQZfN64FI4p5oHL9bXIJdYbNWoUr7zySr5jT548ycmTJ/Npj44ePWopB9i0aRNg1lLUrViea9euEhV313yO61fp07tnifp5N+MekJ9f568gV2tlb2/P5MmT/1JbWq0Trq4NiYn9o4gaYnZm/hMwmUycW3gGlQLV+1UFoGGvygRUrs/wUi9Rs1oTACpXrszYpWuwKfsMrjlcQGvXrmXOHLNJJlcrpNFoSEtLY9++fYWy/v7xxx+WEGkAvRFeXmo227388sv079+f1NT7UXrDhw/nzTm/Ep+WjoJCVlYWb731FsOGDUOr1eLr64uvr6/FmdpgMlocgEviOG4ymUhJScHV1bXQ/cYceoK0tDTq1auHbWV3sq4lYSwpsdNT/Kt4ahJ6CgselVvDGB1Ftzde5q233qJln778vGYt1w7sBSDIxgp/xcjvo94l8eYNAMq16UDUwX0s+Nr8UgwPN5t/fH19uXfjHvM/2E5U1C7i4uKwsys+2RoAAsY0I+sHHmPDw2s/Eu6lpjNnzhxsbGwsdPzff/89VapUsbBvqlQqsrKycHJyyvcyHdCpJXNX/c57M+cxzCuUA2HXiErU88yztR563t+vHCNDn8mmhHAiwlZZSNzMlys5URwgOXweN09c4PAP67l57iLZCRn8av/rQ51fd+3axfDhwzl37hz+/v6MHj06H6eH0Whk3LhxLFu2jJiYGHx9fXn11Vd5dfDbdJx9BDG6o48Jo3Oz+2xsD5o9iko6l4tcXwsvL698ETLz5pkjZz7//HNqVKlCaTcXknJMQCEhIRw+fPihYwigz85+eKVHgIhYmFxNpuJNnyWBt1dnzoUPJyMjChubBwUBE39WOb/7l/NUTDNx+7lSuHqanyG1RkXFt6qROiOMn+ebzUlfbb9MilFB61mGUh26cm/WSGYfvcH886uA+/OZl4HaysEeW1dnrBzscDMm80w5ZwaMXZrP/GUU+PmcOSqrYcOGpKenc/ToUcuYadVq0vPMTWRkJADu7u7cvWsWTHfv3s1rXV/hWrz5/tFoNGg0GsoUkWw0L6ZNm0Zqaiovv/xyvvIzZ85Qr149MjMzsbe3Z+3atVSsWNEsqKyFjHPx2Nd5eM6x/xd4kp1Y/i41zz+J/88moeiriZKZpn/s7fIQNf8fsQli2/1VKV+xUr7ybt26WY7dtGlToWpktUZTaHlQkO2fUtFb6zQPTW//Z7bGjRsXKCvqPHnNNunbf5blAYHyTMUQsbKyEl9PJ/Fz0crgwYMfOu5uLQJE66GVivMrSuXFlR+6BQ4PFI+OHhIwOKBEppmIiAixtbWV4cOHS3h4uMyePVvUarVs2rTJUmfSpEni5uYm69atk2vXrsnPP/8s9vb20mXwWxI4Yp18d/CgnI6OLND27t27pUOHDuLj41Oivty+fVt69OghwcHBoiiKxUyUe+zOnTsf+5z+lU2n04m9vb18+OGHD53HhyE7O1l27a4u4eEjC+wbvnSu1J3w4yO3efNyvFwasVs2fn6wwL6l6y9I5Ig9MnLEFgHE4/mPJXDEOgkcsU4CRq4zl3X9WAJz/37hY/F8cZw4duglXuMnmc00NtZScfUqqb5zi1Qr5yyvNPUSEZEff/zx/hipFWkfohNAGjVqJGFhYdKmTRvL/nJugWKl1om3o6PY2diKoiji6OgoAwYMkOjoaImOjpbExET5ouMnAsjo0aNFrVaLjY2NjBo1qtjr//HHH8XW1la2bt1aYF9WVpZcvnxZjh07JiNHjhR3d3c5d+6cGNP0Ejlij9z79fIjj/f/IiIv3BND9pNrEnoqsPzHcftygmSmZz/2dksisGir1JC38nyEd+/eLdWqVbO8nJYvN/sbbNu2zVJn5tadFnv4oEGDpEePHmJjYyOAvPCCo3wxzfdv//CoQdRK8XW8nRykZcuW4ujoaHmRRkdHS7ly5cTKykoAmTZtmqxcuVJcXV1l3LhxlmtM3/mLhIeWl/Sda0REZN9P70rdMraF+m3kxeTJk0Vtp5GmcwfI3cwUic9MlfjMVLmXmSaJWemSrM+QVH2mpGVnSVp2lmRk6yXLkC3ZRoMYjcYSCQkffvihVKpUUMhs3bq15Xf79u2lX79++eq88MILEtK4oQSO+F1ikhMLbXvDhg3y8ccfW/wkHtaXa9euyZAhQ2TJkiVSvXr1fALLxIkTpUOHDmJvZ/Z/qF27tmiKEHT/SYFl5MiRkpWVVex1lRQ3I5fKtu1lJPJWfuFk+NKvpc6E5Y/U1p3oZDn80W45PGq3JCRmFNifmJIpm0fslCsjdgsgK1f8XEDAHDnSLDzlzl25UWvlyz9WWASS9957zyJgAlKplE7Gjx8vOp2u2HHTarWWv+10tuLh4SHu7u6iUqkKre/n7SdalXmuXVxczGV+fpKQkFDk9a9YsUJsbGxk3bp1JRqv5s2by4ABAyTzepJEjtgjaafuPNJ4/6/iSRdYnpqE/uPQZxmx+gfCmg8mpjLreiwGMRsj7uqzMSXE45knF05aWhrly5fn1KlTgDlh2YPZg8N2bufWrVuA2d7s4eFBYGAgd+/GotFWon69tsDHODXqTdLeZSXqm0qtNhNJlTDKwwjmV2MxiEtJJTI8DGNWBjcO/kqd598CzL4Mnp6eREZGUrZsWbp06UJUVBRffPEFY8eOBUB/5lhOK7mmAwW1ycDNi7vZumIoKkVBAdS3oziiqkmm2pb923ewe/MWmvapgGuwP+5Wf09mtYMHD9KiRYt8Za1bt+bdd9+1/K5fvz7z58/n0qVLhISEcOrUKfbt24dvxy7oFQNbL5+jd836BdouiiiwKAQFBVlC27/77juLXwuYCdK8vLxoXLchG7Zv4ty5c8Vm8f4nMGzYsL/sv5IXfqV6kZZ2mUuXxuPh3gIrqxzGWITCTEIZ6dkcWHuB7LgM1K7WVG1ZGi9vBy5cjCNpSThWAi6vV8K5EDZWJ3srGoyux+6lZwAI33QVx252xZqABQjbs5/Vc74HzCa57OxsRo8ezaD+fYlL1Fvu+Qdhb2+Pp6cnsbGxlpB1gDR9OmkPOowBzs7OJCQk8M6Lg/h69TeW8oSEBBo1asTKlStxdnYu9FwrVqygX79+rFy5Mn9252JgMpnIysrCcM9svrIq41Si457i38VTgeU/DkUBk0lQqR5/QNrtTD1TIqKp5mDD6tgEDiWl0sbdCZWi4Gul5bxGjdUDzLYiwk8//WQpy5s9WKVS4e0fSNmyZbly5QoJMfG8N/J9Nv++kWy9gaP7b/GNyuzXonMPpG2Pt9i44tuH9tNkNIJaza6ZnjQdXDxPh0pRMOUINopaQYyFSy5iEi5EmVMEdO4+BK3nJGrWrImTkxMBAQEW2zuYQzBjYmLQ6/XodDoyz5o/CtpyZqdH19J1Manm45oaScVb5qR9ismIb0YU9+Lu8s2xVPaGnaZviwaEJNmhd3i4rf7PIiYmJn/eGswhq8nJyWRkZGBjY8PIkSNJTk6mfPnyqNVqjEYjkyZNwr91E0avSmD0qgSq+tygqk/gY+tXSkoKy5cvZ/lyc66i7777DoCqFSoBYGtri4ONLXfuxT+0LSu1hnouHuyKezTOluJgb2/PlClTHlt7YKbrL1vmfWJifuPmzQUEB3+Us+f+PWkymbh29R7R5+OxPhxLGSPcUYNHdCbbNy3m6yMruBJziTup8Xz37Q/0L1e083lyyj2W7TM7uk9YMorBToMtAiNAbGysRWC8du0aCQdOsPLAT/zy88906dKFFStWsHPnTgDefr0vsWnwyfsv0uK5mqgUFaKo+GbkOLZeyiA+NZXU1FR8fDxw93DkxnXzXLxZpSn3smNYe+ECxpwr7ebkzIQvvmf58uV8u3Yeg+r2wq6hH59Pm0rPnj156623LMLqqFGjLD5lAMuXL6dv377MmjWrQHZnJycnyzFt27YlICDAcp/t2rWLzZs3Y+XvACpIP3kXh4YFnYr/X6Jk675/B3+7vucfwP9nk1DinXS5F5362NsFxOnT6ZZwY68dYdLyyAXL/t27d4urq6slDDFX/b9w4UKLajevSeDKlSvSoEGDQlXAdnZ24ujgIO7u7hIYGGhWBTfrLy4t33qImv7x+q3kNTmo1WpRKYq4qlRSz8HOEuapKIp4enoKmEM0w8LCZOzYseLj4yMjR46URo0aCSAtXOxFRCQsLEzCwsKkVq1a0rNnTwkLC5Nz585JZsIdkbGO8lHvVqLT6eSXX36RbxdOlDEdm8v5S2clJSXlT83Zw8wwwcHB8tlnn+UrW79+vQCSnp4uImb1up+fn6xYsUJOnz4tS5cuFVdXV1m8eLFsvxIugSPWyWsriw+7LUlf8qKoUOe+L5h9orp37S5DWxb0Kfq7N43G7B9lbW1d4mt5VERcmyPbtpeRI0efl6sRX8nQhZMkcMQ6WTLrkISP2C2RI/ZI5Ig9suuTPXIp3Gy6uHc3TSYOmS3dn3tVPh0286HjnZKSIuvXr5cePXoIIN727tK9ew+5ceOGiEiR1x8YUlaio6MFkJCQEElMNJsDVUWYVBsFqMXeWhErfyuxq2JXaB2dRitTh4yUZnZ2Uk6nE2+NRt5p1kGaNGlSZD/yUgE0adLEcl1FHZNbX0SkX79+EhgYKDqdTjw8PKR58+ayZcsWy/67C89I1ISDYvwbfAH/a7h14Z4Y9E+uSeipwPIfh8FglJvn4x97u4C88u334rUjTOKysiVBny16o8myf8OGDVKvXj0JCMjv7Jn7QnzwBZrrrzDsvYkWjoXBvd+Sn2YukZrlqou3vbt0fqatTP9g/j/+USpsU6vVYqVWiZNKJS3qVJElS5ZIUFBQkXUnTpwoXbt2FZ1OJ3V9XKWqrbXUqlWr8I9AYKBFYPHzcC60ztixY//UnD1MSGjUqFEBwWDhwoXi6Oho+e3n5ydz5szJV2fChAkSGhoqaVlZEjhinbz588q/3Je8KExgSU5OFuccDo/WlUNKPHeKUrhvxKNuiqKIWq0WQOzt7Ut8LY8Kk8ko0dG/yanTb8mu3dVl1KJXpcaI9RI5Yo+cnHBAjmyLkOhbSWIymYps42HjXZQDc+6HHRB/f39L/YcJAjZ2KgkqbSXRt0/I7VuHJermQbl1Y59EXtkiYz7qL4qiWBzUbWyspNoz5veEt7O79OndW27cuCHXVm2R/q6uUsPaRqy1WjEajTLpxXGiUallTKthsvedX+X4oLVyfNBaibke8ziGulBk3U6VW+MOyL01l/62c/xX8KQLLE9NQv9xqFRFmzUeFQ9SiqfcuoW11oG0sq4WZtZcdWzbtm0pX748lStXBmDsmt18/MPvhK+9bw6auG4/0/acw97FjZuHd5JyOxL93Thstdak6tMpXTOEkCZVMcw1kW0ykmHIIv6GmVL+k05DsalaiWmHjtPWM40fl5v9WVwcXEhISQAgICDAEjqroPBM2WcZ1+052n02GWtryMz882NhNBoxAlnA5ZhkunfvzqBBg7C1tSUgIIBr165Zskt7ODsypHE1Wv+8kq8+fo/tixdx7F4KqsREHBwcMBgMuLi4EB0dzcaNG2ndujVZiWZz0+G57+HbdTQA81ZOIHXtYV79biFujp5F9OyvIW/emlxs3bqVevXqWX6np6ebcwTlgVqtxmQyMfebt5mqiUM5o+arHd+xctd5LkUlEJ+cwWf9mtCkagCGHBrki+u/4tCtX8n1x4hPSmfW2mNcuBnHrbhkXm5SkWEv1gVFIfn2RaJVcYzq1Yifd4VzPSYBkyk3oBs2n71sptgvgZ+SFJsQseSQnEzNAJUqVXosbRYGRVHh7d0Jb+9OiJhoUD+dd5ddR38hgYDKHrg0L/2Xz9G0aVPL2P3w/VqGvPMqGSY9S5YssXAetWjRwpK3aNeuXTjXe5Fgm2h+//EXfH198fbxZsnSJZy4tQ+TCbKyISZWQaezp2LFiiQmJtK5c2f27t2LiJjNeA4OxMbGcuqo+TmNSYzjh2XLUKnVzJ/zDTGuviQYbqPo0xERttzdicFk5NMtM/h0ywxL/3vf680Py3/409dv0hvJOBOHKS0bm6ruaJzv+/moHXVIhgFDXEYxLTzFk4CnAst/HI+Thv1BSvG1E8cCMKYIbo1cSvFmzZpxetksHqQ2P/79NKz8K2NMicOQFAuKijIhDfDIEs7dvZKP4wFgS9gOdpzeB4BL00A8HTTcmziPH/PUyRVWgHx9UVRqTt88w+Yz3QAwGDRA4U6aGhW42sCdtEJ3328TqOLuxKnr1/n2228xGAxYW1tTv359mtWoQcDOXUyIjcE5NZ0Rz7+KbVYWjZevZVN8Oi5aDaO/+ILy5cuj0+lYt24d7777LkuWLKF169ZYHHLzTN+15Ag8AL2x5CRWheWtyZss70Gbf968Nf369WPHjh2sWrWK9evXW9ro2LEjkyZNIiAggEqVKhEWFsb06dN59dW+vJf4HWjgulUoO9MSqeklvFLDh7eXR+CSEYlXSorlw+iYdg2PhNz5ErIS9Phqk2jV0IlFB/XYZN7BI/4YCoIuOwXbjGzCz9yifikVtbydCPawYtLmWMvxJfSpfqzI5QAZPHjwP3I+RVGh0dhjV8kd/YUEJPvxCF954e5rjc7ahkBbP07dDrc8h4sWLWLRokUWLh1DchwxcVGEhYUB8GyDWvz+y3rObL8KQPStLGrUqEFgYCCXLl2iZcuWhIeHY2trS1paGtnZ2YSEhPD666/zxRfTGDd0MXq7i0yfPp02bdoQdTeWId9M5+2336ZjrRao1Wp27dqVr6/nvz+Lw+UEfCcUdPLOC1OGgaQt11HUKhyf80dla+ZFEoOJ5J2RpB28jSnDAGoVKXtv4dg8kPSTdzClZqPzdwDAuoLb4xzm/yzuLxOeQPytup5/CP+fTUIifx89//ybdyRo18mH1gOk6cjpBcpyVdRGo0n0BqNs3rqtUDVz5xrtpLxH2X/dDJR3K1u2rPjaW0t5Vwe5evWq1K9fX6ysrERRFHFxcJByOp0MdXcXe5VKyjqpxNfVSa4vnSEbxw8TX1dnsdJpLWNgMplk27ZtoiiK9OzZU0REMu/FiIx1lBMLRuTjImkUHCSJyflNfPPnz5eGDRuKs7OzODs7S/PmzeXw4cMi8nBV/4M2/9xjqlevLjqdTsqUKSOLFi3Ktz85OVmGDh0qAQEBYm1tLWXKlJGPP/5YMjMy5PZEDzn2ff72cud7+fLlFp8duO/jk+snMXLkSOnTp4+I3DcBFeXjk7ddMKdJeP/99//x+8DFxUXmz5//0Gfg70D0F0clcsQeMSRmPrRu3uetJGjQoJF0q/2iAPLLT78UOH7Xrp2i8w0tdEzK6HTyjI2NlNHppJqTnYiITJkyxeLP9uDm7u4uWo1Ovhi0VrKzs2XcuHEWPzAbGxsZOHBgkSHLV1ZdlMgReyT9XsFQ7byIX3VRIj/aK7c+2S+3Jx2S9PPxYso2SvzKCxL50V5J+O2KZMeliyElS2K/DpPIEXskZvYJiZlj/jty1J4Sj93/Mm5dvCfZesM/es6nJqGneCxQK2AoQtgev/E8i3ZH4ORpa66rUkhNTeWnn35iyZIlADz//PNMnz6drl27EhAQwM7t2+hQrwNxt25RvX0D5s6dw7f9xvPTro1EJJi1JTU8AknROJFw7xLxWZl0a9WAn7bs/0euNy8irkUgJuE2mZQtW9YSLePt4UGp1FQuGwzMiotDo4KbKfBTd1/8O/Qk/NBx3P2242dtzZEjR+jevbvFdARmc4sZ5oHVZxvx8PBg9OjRjBn3USE9MTPT9ujRg/r162Ntbc3UqVNp1aoV586dy6fqLwy5aQDyomnTppZVc2FwcHBg5syZzHwgqeO59e9QKTuLaI/yhR539epVeva8T53/Z9lvAwMDOXv2bD7N0YoVK4rsb0mhoDx09ahSqTCZTDg4OBAREYG7u/tfPu+fhUMzfxJ+voQxLRv1Y07Op9GoMHjbwjHYuczMTp1XO5eWlgqKQtnKwVw9e5mvfEvR8vV6dFq4HV93J+7cS6VcppE3bZ0IDw9n48aN+Pn5kZmZyY0bN7C3t+fNN9+kRYsWvPPOO5TyL4uNwRGNRmNJZ9GoUSNcXV35+uuvi+ynKdOASQS1tvC0EyJCxqm7pJ+IxblTWawruJHw80XiF5+z1HHtEYpttfsmVo+3qmG8l4na1WwWSj8Wi8pR9ziG9Sn+bvzt4tM/gP/vGpYbf5OGZcmtu+K1I0ySswtK3C//cMTMlPmxOcJk3PylJVrth/qFiLO1o9jaFs1qa62zkwk5EUWdg9wfeVXs6uIqio2jPGoUkaLLcdbUItXfqSI6jVocVCqpY2MrAXZWolUUaepkJwPc3WTlnDn5jlUriFpldtLM63Co1WpFURRRqVSiKIp07dpVREQy790WGesotxa+JSaj2cmtQqWyUsXPWxo3bSCenh4CyNzv5sv127fkZkyU3LoTLbfuRktUVITY29vL17NnSPiZ49L1hc7i6+ooCkinSoGy/vW2snnM65a5Kk5DU1KY7lwUGesoMtZRsrIKRqXxiCv8oqKCcvF3stzmzlFR++3s7OTu3buPND5/B7JupUjkiD2SdevhEWN/Zvy7du1a5POamBwpdpWbS7mK5QSQmbXLWMgJH9wCAwMlNDRUrKys5NVXXxUfHx/L862xsRHP+s2k3ruL5a33fxKDwSD169eXBQsWSN++faVz585F9tGYbZTLI/fI6Y/3FT4+kckWLVTcj+FiygkKMBlNknUzWVIORknGlYQSj8lTPPkalqfJD/8HUPya8c/DWWtWwE2OKMhn0aB8zoolRwVTxc3OstrP3cCcUC1vsr+BA0dip7OhatmaAHz3/CQW9H6N+Kg7NGnShDde78u0136n/YSpAFRPV9Pb2cVy3lyVYCO/6rzWfDRvt71P5KVVW1G9dGOG1OyFZCSTOzKKWoubmxsaFx9syzdEbWWLojI791apUgWvMjXQWtlhq7UBwM7BhmubbuBb3gPFRoWdWoWnSYW1RsHbT8uYGaPoNmiQ5bwhIcGEDbDj5Ju2HO7hRKcOHSy+QF9++SUnTpzg888/B2Dv3r3s2bOHF3q+hu+XKfj1+5bvh5jJrhSVCpNJ0MbG0rZcAABHl23lxw8P8HzDPtQIro2/hy+9m/YnOy0NZcqXRHV+CZsde6hjULBWFDaG36Tb4s2MnbaCQ4cOAfc1NDt37uTgwYP4+/vTqlUroqKiSnwvKM7+AOgVFTqtbYmPexCXIs+zL/wASenJ3L4Xzb4Lh9h38Rh7L59k79XT7L1ykj1XTqLyd2XA+0MBGDR6BLuuXWDGiqWFtlmqltnxWxdSEaxtsG7Tmabbf6B3Q2dql7clIMgOtVpNmdJlePftDxnwxluoVCratWvH1KlT8fPzQ6fT4e3tzaBBg4iKivpXNSsW5Po3mQp/wlNTU/MljnzUBJRWVmatzYdDx3Ny5G72jN2LIdvI4sWLuRV3Eff2wxgfGgyAe5/XUalUNGnShBdffJEOHTrgZm++D2bMmIHJZMLT05MFCxYQEhJCqUZ1cGneF1FZo63xGqc2L2Ll0vfQaDTExsby+uuvF7ieGTNmUNo7CGutFT6OnvSv2x2ys1D7FMwrpo9M4e6CMyhWajwGVMG1e3mUHE4oRaWg83fAvq4v1mWdH2nIn+LJxlOT0FMUiQ4eTrhrNWQUkuytX3k3jpfLZut+M4HahN/2U6ZMmXzOng/i5MmT1GtRFddZzngbzerYy+l3GDJ5HK6+HgCo1OaXjlprjs7QvfYyb9SswrJuA4D7brR7b51k762T+drPNmZxO+Eidf37olZUGHOiRcSYTXy8mXDMkJBf+Dp7Lhy1WwCGrHTsbJwASEvKwCFIQ6JNJpk6iHO3pWKZEE5tP0isVzYXFRNJOYkbAWxt7QjpuwzT1mnonM/ihBPkRNn4+/tTvXp1qlevzieffEJSUhJpaWnUqFWbbs2foe8HE5EsczZbdxdv3MoH0/+tngjCkuZ9UFnp8WpvxDfNmYbBffht3hIuxV3FzcOF0PFvo9NpGSAmJsz7Cd/YJOrUqUuL0rb8Pvtn2rRpw7lz5/jxxx/zXfOCBQtYvXo127dvL/BBKxJaG74r1Zp9zo1h0y8o3P+eKjmC4Zzj+/nDSo+i5Oi2MBMbKphzD2eLwnrrEMCWe3oVl9I07InOy8p6/z5L+2kxacvMDKvLdF78ci0DvKrgteO+KUt/8hgJw98g6vhZ8+9L5jnJDj/NeWUcWbY2ZBkzWfi9L8Y7r3N5V13emdvccvyGDRvYsGEDgYGB+cx2TwpyP8BShMnvQSf5h5ng9uzZQ5MmTSy/jx8/DsCi5XPouuoVSm+K5PCWq9RvF0yl0s3pHPMmA++aQ+16Dx3N8C3HyLh7D9W9TBwdfCnzbDfidyyixxtvkZUQByI4BgQhBgMa/2exDXHGmJZAKWM2GbZOvNa+F1/Nmk7z5vfnIBfLly9n5IiRTGszguAKNbmVHs1HP4xF8XPg60++KVA/cX0EGmdrPN6ogsr66WfsseLvWgE/BvylmZ4yZQqjRo1i6NCh+ezdBw8e5OOPP+bw4cOo1WqqV6/O5s2bsbGxKbSdcePGMX78+HxloaGhXLhw4a907ynyQES4GjENgyEZR8dquLs1Q6cr3itepSgE2OgKzRt77Ngxlr7xvOX3yaXTqbF0er6X5YPI669wJvYiAItOLGdq6ExLuaKYP/SSIyR9PHV2oX2bP38+v/78FUdPnadurdr8sfEwXo72xCbG0mbxA6s3RQGNlmMHD5AYd4cWbdrdHxeTEcPda4CZbRUAI9hXsadNsD8p3j78svo3Tl++A8DOHWns3PEhivq+v0nE1auctwnCpARRU3cG0Wdy7JiZnr9Hjx4AuLi4kJGRgbOzcz4K+74fTMx37QG+wbR7rldOSR+sdDpe796d17t3B2DV/O+5mxzH8RPHqFq1quXYLa+MoGnTpnh4eODvoWW8jzfbb98uVChJT08nOzsbV1fXQsf2QZxLjOTVsDAiy32Enz6WCqZkyztNLOIIZKGQjsoSzSMoOZmlc39D3YwIhvi78pGtmoouWsaG2oDRAKZsECOg4ttvF/P18u9Zs3Q2z3ftxzR3Pa390gETipggZ1O8S0PbHbiWfhYbK/MqvGHjJoifM1eBiJEbGCMfAxeIv53KRf0WrHV2DGo3haGTe+JfvmTX/68h58FLP3GHrIgkc0RgrqSoKNTSBpOy7xaoFNSOVthUyv88P+i/lJaWxscff0ytWrV44YUXWLt2Lc8//zyBgYF06Vmf6OhoPr8yEd/Qt1kQn8jaBi1RcgR9Jw8PfA167pqMxKu03Ik4RdRdszBk4+mFY3B5EsNP41itMTEbl2NlPIj66h4ATv3+Bb17DWP1z5MJDQ0t9Duwe8tuavhWplWlloRObgTAed0VDh8+jPUD/jvpZ+6iv56MW5+KT4WVx4zHGHT6t+BPz/bRo0eZN29evpcmmIWVNm3aMGrUKGbPno1Go+HUqVMFeB0eRKVKldi2bdv9jmme3oiPE1G3V3DjxrfY2pYmKmoFnp5tqVK5cGEgL0xSeKL7vM6eNWbsIivbSPiH91dOixcvtjjf5iK3/ldvbceurgf9X6vG/PnzH2g5Z1WZs9qeMGECn3zySYHzv/fee1hphbh7RiJumjUUscmpKBSyQBCBbD1NG9QhLcuIlRqyjGanYjsdoGhJzsy2cG4ARC+JZhHRtGzpiK2tglqrwa7jZ9zbvgB97FXEeD9kOjklhRo1auDtZE/0uyrmVrpHw0seREVFWUKhM3NIYYKCggoZzZJh2rRpxCbFU6N0wwLPXb7LNQnpYipSKBkxYgS+vr4FcgoVhdFnDxBJKC85xTKjeks0Oc9y3pDqFcALrj408ylXZEg1mLVsGMGgN5KVkU3CnQx0Oh0VK1YHYOrUqUyf8S2TJk3C3tFshoq4ncYH665jcHTHx7sUOxZNJzY+ltJDxhNjr8IYdQnthYtkquFe7F00Ojtsr1xE0WhQAgUxuHA6Spj34wzmfPkdcUdsibhwA62zHnt7e+zt/568TX8VagcdGncbMs7cBTHLaRZpMMdMJJLzt0nwHV8flZW6yPZyBeXUVPPzcu2aWVB3dnamR48evPfee6iBSb2HsM4qAWXkp7z43gQWrFuNu6MDFd2cOB2lIir8AG61W7Bo/kw6depE8sVzLFmyhIEDB/JiWVfmqtVIShLY2lKrzktc0WhY8c1w0nNyCp07d445c+ZgylmUaDQa3mvyNuExl4gITiEUiIiIYMOGDfTp08fSfzEK91ZeIONMHFbBzlhXfMIFzqd47PhTUkFqaiq9evXiu+++Y+LEifn2DRs2jCFDhjBy5EhLWWho6MM7otHg7e39Z7rzFCVAZOQivDw7ULnyLE6degOTqWRcH4KgFCqy3EdiciaSYSy2ToF2C7HLGw3ZXDkRReWaIGJur3LlyogIGzdupF27duh0OvR6PZUrV6ZTS29GfbqWiRMn8vzzz+Pj6YFveQ3hTg3IWL82ZyV+/zxpWUYEs7ACYELhyAB/RuzT8lvY1QL9URTYti05p4lsHGydGTbpB25HH+CHj98teFE6OwxZ2dioj9PGRs9JQDEZ0BrSCHZScyoZNHfOkPxJKdQYUJnTMJZoVfP5558zadIkynkH4GjjUnxlMTHj7t1ChZIpU6awcuVKdu3ahbV1wSR5heFgtvn5nV2zdb7yh5kkzly5yt3bt/MdU1RU0PXr1wGYO3cuer2eDz74wFJv8sQJANi36IjbB+NJSbyLxMUQoNZQx6jF2aRi0js9LPUNl86TuX0jfv4BeA1ew8WrScz/sSd6vZ4Bg/uaK+VwkI0dO5Zx48aVaBz+aahstXi/X/uh9TLC44lfGo5kG6EYgSUXudq/3Pnatm2bZbHo1bkcG2fuxysmmqYOjsxsEMwCzBFgV6/ef0bij2xh8GCzlrR+/fosW7aMTZs28dprr2E0GtFoNHzwwQfEp9cjzpCO9b2zNG5Yl7CwMEJDQxk5ciSjR48mJSWFoc0GUznJEcdqnnR+qwvypmAwGHjrrbf46KP7mszUg7fJOBuHy0sh2Nb0fKwcVE/x38CfElgGDRpE+/btadGiRT6B5c6dOxw+fJhevXpRv359rl69Svny5Zk0aRINGzYsts3Lly/j6+uLtbU19erVY/LkyQQEBPyZ7v2/Q8keW8HKyivnLxMqpWRTL8BD8ypqVGgKt/YVicLIebP1WWgybHEvd5myVczmpkmTJjFw4ECLiSlXU9ekSROaNjJ37PzxBQDYOthz60IyWcbdYDK/NA0GA9YaCHRS+HnbMTo939XycRQRys82q7Xt7e0tK8+ypSvSrbb5Zf77xblYqeNp+1I5lt5zZ9mRM9z9cSL+5aoTeeUkHr5lsPWrBM3exC47g7sVL3L9yGY61RKmHNzH+BbB1DElEIY1x27f4l6mind+v8vS522ItKsDbOWOWy2LI2RuxmKdzhxmmZ6SxdSpUxkzZgzLly9n3LCPyDRkc3Dh71R5+blCtQMrtx1mU3Iye3ftzieUTJs2jSlTprBt27ZiNTRFIc2QhZ3mvnq+qJDqm0kpdN64h2MDzR+bo1ExPFPK2zLmxSF3bgA+33OV6YZkglOFzrcjybh9Ad3BPZgaNMVaZ0MFfTLWWi1ePu5UmL+ayKgbWOts8HDzpmLl8tw9b+Da6TiCa3sSPuKSOaRZzL4hHgEOf0vC0H8DiibHjFoUB8EDaNq0KWB2iO/Spcv9dhQFOwcrBnw6nUrbb3DDdJdFM74AQOupxT7Ej3JZ7kTY+KOztqGxl4offviBChUq8N1337F9+3aLENGgQQPatWvHmYuJrA6DuynZHNp/BBSFjGQ9d2+kkpVuRJ9iICjNij2JF5j9x9d888031KlThytXrjB06FCLhtWYnEXy1hvY1fHBrpbXg5f0FI8RT7ALy6MLLCtXruTEiRMcPXq0wL6IiAjA7JMybdo0qlevztKlS2nevDlnz54lODi40Dbr1KnD4sWLCQ0NJTo6mvHjx9OoUSPOnj2Lg4NDgfpZWVn/1955BkZRdQ34ma3pvZNK7xBABATpICKKig1LAEFUlC5F+ERUXkBRwF4QUBFRVKwU6UWQHnoNCSQhlfS2m929348lC0sSSCAQyn1852X3zp0798xmd86ce4qdk1xOTk5lxbjjUBQNFmFi06ZN/N///cORIxmkpX1e6kerFALObN9Gi6ce4tChQ4SEhDB58mQGDBhg65I2dwD5aUkob5Y+vKzMq2vX7WJQq/dsfUqiHNLS0klPjeWFt/4h57UXbcdfyF2C7XPfvXs3esW6ZPDGjL/P941Dr9Jj0Vh/NEsqvAoBBhP8tXyl7Ybo5OSEm5sbycnJaNUq8vMvpL2NizvBn5b5PNj6eXQqR4JDmzF1/K9023WW+/p2w7lJdzJSrE+bmQUF5Ofm4JmTSrjazJgVh/jhh822sV7/58T5668QGhqGqSiPA6nZbE1xo/X7P8M4dybNmMukGXNtcpVYHQB0Dhqb1aFfv37nRz1Ou+eXM+VMaevA7t272btrF1+Eh9gpJSUWmlWrVtGq1ZWf2i/mZd9sPk11of6GXbwf5M7jDRuX23dLXDxPn0hCqB3oachhlc6VPseTabD/BJ+0bEBDvytH32w/Hc9n+xNZ6eJAk/hk2p3aQR7g7VQDFFCrVWTlZfDfwbUXDhIqvJ2CKDYZOZEUzYmkaDzONaNuw1o07x6KX5hbpWS+lVDO/70LU9VkxW1b15dt3//D4/eOsLUVpxaTmRrLEdc0nO9tRnF6AmcM1lT2vr5Wh/mS7xvAunXriIyMxNc/EMtd/clIPIZS6IWLiwuJqWfYuHMlSanxFBUV8at+O7+sW8qzzz7L4MGDAWv0Xn5+Pi+88AKTJk0if4e1CrN7j7AqkVFSHje5El+ZeOkzZ84IPz8/sW/fPlvbxfkU/v33XwGIiRMn2h3XpEkTMWHChAqfJzMzU7i5uYl58+aVuX/KlCll5gOQeVjKZ9t/PcWxY2+J5cuXi+cHNxGz5/SqUO6GdsvWCK2joxg9erQ4fPiw+Oijj4RarRYrV6609TkWlyDCXlssak5YIn76aWm5uR2EEKJ///4ixKeOmPB/SwRYs6GW1b86Nzd3T9G4SQuh1zuKJo1b23JFvPHGG+VWnL6r1b3CYDDaZZY1m83i0N495eauEKJ0/ozc3Fy7bLGPd+huly02JCREBLoHieVjvrcdU9K/Ro0aQqvVilE97xK/RUTY9s+YMcNWETopKcm2VaYi9JtrF4qIFVuF/7q9YumRk2X2MRiNotHv64X/ur1id8JZIYQQp85liPGbdojaK7eJmiv/E3lF5WdtPZZ2TvRYsUn4r9srAtbuFg98vVi8MWWK+O6T38Tpk0l2fc1ms8jOyhEHdx0XP83/SxzedUoIIcTBgwfF1KlTxYzp74qYI2cqLN+tTFFslogfv0kYU/IrfExZ3/2SNmOBUcSP3yTyJ/cR/33aWyzf8KZwquckvLt7i5q1awn/3oNF60822Y6ZPHmygAvVvh977DHh5uZu/VtXVMLBu4YICAy0FZK8r+d94lxqpkhOSBWnYxLElClTRJ2wWmLcuHFCCCF++eUX0a1bN+Hq6ioAcffdd4ulk+aJ5I/2VM0Fk5RL4vFMYTTcvHlYKmVh2b17N6mpqbRo0cLWZjab2bRpEx9//DHHjlnXNBs2bGh3XIMGDUpluLwcHh4e1K1b1y7T5cVMnDjRrg5NTk4OISEhlRHljkMIC4qiplevXvgHfE9m5jYAiotzy+yffm4DxcYMzvz8G46BgbR9+QH2kYp795q0ua8Dk/73Bi6NvXDR6nFxc2Ro38Z88ccZdnpFMHz4cH7/43cWr/gJizBjsZgwWyys27+RFl1as3jxYma8bY16udjv4Y2xr9L/0ddR3DP4b+cum/WnrLVqL083Fn/ZnvseW077Nn7s2JOG2aSgODmjhEZQHHMMvxoRpJ46Sn1fNWkmJ2a+N5vRo0eTk5ODTqfDZDLh5WAhIFBLv3fGEP3zEX775Xfu7XAPv/76KwH+Ifj6BvLbb7+xZcsWvv76a6Kjo/Hx8WHAgAGcOXCC+KR8WtQM5sctfwH2kRkqlYq6jRqzt3FjLBoN7/n5ck4Ilv6whNj4+FL5M7y8vDh16pSdX8hPm1fzU2Qkffr04a233rJG+BiKiUmJ4/DhwzRs2NDOLwRg9qqdLFaruTs5GRcXlzIsNFYq478hTsTycMZp/mrejQmni6jj7krTAF+7z+a3IydId/Vguo8DLWoEAhDh5cmMDndx/+lEHj+VxsQtu3iv493oL3Gq/+HgUSYk5aJRdHQ6uoea6WfRmyy0a9md7g/eU2o+KpUKN3dXGrV0pVHLC5bb3bt3Y7FYqFe/Drv2b0PlYCY0NPSKTv+3NOeXtjJ+OoaiVQMXhWaVxfl9WStiSUvdj8dDtdD6X8h1kvLvb0AACvlY3OrYHOABMvUGyDpNfvwJoqOt1u+TJ0/i4uJCWloaoaGhRO8/SL4JGoxeTN+6etoE6Rg5Yjh169blyJEj5BfkcyYx7ryzdUMc0NG4QQiffDyXIMd0tuw8irejGmdHDS2bNKNR3UD6zxjKn+M+oyf2f+uSO4tKKSxdu3blwIEDdm0DBw6kfv36jB8/npo1axIUFGRTXEo4fvy4LYyzIuTl5RETE2PnIX4xer3elvRIUlEsNu9OL897KCpKAk6Rk7uP4uKHLrrxKJhMOezbZw0NztuvwdS8Da+cKXH0dKewYSdyP53Fo8e11nGxLqdoffT8uPI4CV8txO2uvvRfmFbGPGozZ+gaRKNcRr7a127Pyf3/8Wzn8Tw0NoiQOg1s7UIIFEVhwoQJTJ8+HUVRGPpMOCpX699Z547uZOcW0ahpF9YPmcKzBWf56InHKFRZHYvT8i3o3TQ8//zzvPbaWBx0KmoFajl02kh6AaTHFHP46Xdt/hV//fUXZ86cIcg/jPSUVPYfO8yzzz7LV199ZZdQTO/uBEn5pGbrif70LxpFdUPrbO/IqtFqCfzqK86MHIHhvx1kFRv5sV1bhh4/YetzqbNqVFQUcXFxPFanCXondwbPfQdFUfjzzz9tx7y6aBJhm78kLi4OIQTh4eGcPn3atj/FbCYwMJApU6bY+YVcLQFBAZCUzEhVAh+KYHoePYvHvhh6Oal5uVEd/Fyc+PpsBuhdKC7jZnlvWA3CD5/iJwdXnLfvY3tuIWcULQ4WE0JAhoMTdUxF/HhPczSN63Lk0AlatmuMs0vlktTdd999/PvvvyQmJpKWlsbhw4dp0aIFDz744DVfg5sVrb8zzq0DsBjMoFxUEPUSPT+vKJ/Y5DO234HEolT2bNtFWJCR+g9YlwnnzJnDig9mcg4jma5uFNboy4kTP2MxWHAxB5HleZb8Q+s59O9qImdYx12yZAkAw4cPp36TSE4cO4rOK5BVr/UgJMCbzMxMW0QSWJMnWosmhnLgwHY8Ag/y4ujTuPo58+5X35GebsLdQ0XbNs4Mej4LF5f9/LVexbLTX9CTIdf3YkpuaieWSiksrq6uNG5sv37t7OyMt7e3rf21115jypQpNGvWjObNm/PNN99w9OhRfv75Z9sxXbt25eGHH+aVV14BYOzYsfTp04ewsDDOnj3LlClTUKvVthwWkmtHCAsK1qfM8PCXCAkZCDiSmLCITZuXlXlMs6bz8Cl8gcea1uLl1sFoMaMoWpZn1GPge3n8WEuDSSPILzZSYC4i1VPF5h+3kWDIY+TgtnSI9MLd0RW1SoNKpUZ1PonYhhmxNAi0KjmbNm3ivffeY/fu3SQlJTGkx1Qe0TxTrhwlzreffXOEGR8XA9Cizbts+m8O6QZrhMR3m37CUFiE4VQcAOcKBE1CNBzf9SWWomyKiwUrH4EzRjfGbVLYdayA3g/0ISMjgw0bNtCyZUvS0tI4mxpHsxodGNjvJeLi4ujTp49tHheHQDvqnPhx3Vlc13zC/d3q0fzlB5g+fTqtWrWiVq1aGNzd2dD3Yf7cOYk3fP3ooKgrVP/n0yEXKgRf3P+755fg7W7m/g+etrVdrJRsbteEnHYN6T3rx3LPUVkG9hzIW3vfImXbYf4e3p0PD55gLYIfzDp+2G9VlDQaBwbrTDzfpOyowLWd76LWtqMsMKpxUTS0UJnRqhW0KhUNXNWM6tgOnVoNbuBbo/VVzdPPz4+HH7Y6bO/bt49ly5aRllaW4nz7oNKr8XykbP/Ai9m/YQOdoy7kTpr8rVXj6HWyO/8LtmZiTkhI4FBCEuYcE836jKJr+wuJ5k7HXXhY9enlw2uD32fdl4tZtWoVWq2WTZs2sWr7QbTeNXBWDIQG+tC3b19iY2O5++672bx5Mzqdjrlz5/LHH99x8GA0bm6BvPSyN2FhwXzxRTQODm5YzGaE2YTFXIwwm8jPO01BYUtCGjSrqksmKY+b3IWlypOdjBw5kqKiIkaNGkVGRgbNmjVj9erV1KpVy9YnJiaG9PR02/uEhASeeuopzp07h6+vL+3bt+e///6zOXNJrh0hLKBcMIur1VZLQGjoEBo3blvSCWsgs0Ct0uPl1R5FUXDVORLsfMGy4OdodWBs7VurVBKov8fP5P7772fKsy+WO5eNSqwtVDo/P59mzZoxaNAgHnnkEevcysnBk5KSYivaV7umJ2cSM0lNK2bfnt0cPnSIczoHfF8B807r05x/UCApCYk46DUcPJbGF6++Qk6RwN3NmYNdZhES3p7aebM4evYvfv31V9t5du/eTdu2bVGpVLR+oQ2rfvudVq1asWDBAlufJk2a2F4fOL2NA6e34eXij7vfYvLeX07i/pN8/uGnpGal4+joSP369Vm0eDF1/92EYf2mcq9NVSCuw4+OXqcntFUoSTuS8NTBnHtbY7FYSMjOZcquA+QLeK1BBHeF1Ch3DOeLIpb+bt2Aep7uVT/Ri2jWrBk7d+68OdLs3wRcGtUlhODnpz/i8R9GsOL8smJMTAx3PfQw/Rrfx3dPv063bt2I3r8Dpyc8OPPRGSZ88AVLUqaT/EMyE54YSI0aIXz42We8+uKLbDx4mqc/WYvvnq9JjD2Boij8888/DBw4kGnTpqHVagHIy8vF3f0Mzz5XmwXzz+Ll+TidOs7AwcH6u6JSq0GtRo3Viv7Ou2MpKhQ8GzXqBl8xyc3GNSssGzZsKNU2YcIEuzwsl3KpibrEpCi5SpQLyyblc8HCcjEeHi3x97u/jP5WAgICSElJsWtLSUnBzc2tlLJy+vRp1qxZY3fzv+ykwS7rawkaTdnLfQsWLLApDbuiU23tb759PrReb70h5qqcQQhSEqy1cooM1uiFD/6zWmSysvPp1eelUuPr9XoMBgMODg60atWKkSNHkpxu5tmu4wnqobazLkZFRZGVlcVvv/1maysuLOLLUVvZd8KBBu5P0+Chp3ExptFr+F34Na8JwN4t11dZsXEdzLpNIpqQtCOJXad20b1pd1QqFaGe7izofvmUBRcz01uPFq67siK5Moqi0DY0krztSTi3vpADy5KZydmZB7FkZbN69Wp+XfMaUxJXAnB3hB9ZEZPZ0mCOrf+XfMKC+ctwzm2Kk18txg6JwtlBz//9bwa1wsN5sEsndm9cj+Z8bbLcnB28PMyFunXmsfSnp/HxqYujY9lRXIsXL2bWrG95Z1ptQoIbltlHcudwG3ui3Tko51OgX45LLSwVpW3btqxdu9aubfXq1bRt27ZU3wULFuDn50fv3r2vMKrgcrbHrf9tBaz+UYqiMHv2bAAGDBjAtm1bOHbsEL//0g8fHy3u7u60imxuVdYMRaR0icQv8SxXvCDncXZ2tjlkloRMFxUVsWXLFsaMGcOJmGjGfNKH6SPeIeVc+uWGQq3X4W60hl/W1J2hoU8qeTpfln4eV6G5lMlVKR7Xx67bPKI5ZsXMuu3rrnqMqKYN6N+0wZU7Sm4Y4pI/MkVl/R4IowLFhVgsF8KVhRB88tBA/n5wHS/Wn8aA2v+HyuxBsfosWR4rcfdZw4kzCUSfOEVuQSHJGZls3X+QTXuiWbfdmrBOrY0m61wEISGlnakvZsmSJQwePJjZcx6jbdtQW9kOyfXDbLJgLDJduWM1IfPf3wYIIa6cBOu8D8vF6dSh7DwpF6dTf/HFF/n4448ZN24cgwYNYt26dfz000/8/fffdsNbLBYWLFhAVFRUhcoqlDfbcznJHD5i/WFq1aoVa9assTmlLly4kIULF9LhXmemTPEnN9eE2ZxPrbr1OHEqluzsbADij+4rNW7fp/qy7u91eHl5ER8fb7evQ4cOZVoK4+LiaN++PQ2bNIFcKDYX2/ZdWqcFrJEr/ec9SfaxM7jX64RKpeLwi9abu8lgQqPXXIUqUY7GcgWF7NKbUFXg5OBESGQIiXsS2XRwE/c2vrfKzyG5wZRRy8KSa82votozB/b1R+3iDL7WOkUj14/kjZw37A84n1xXb1Lzfqch3NukJ0II1m/YQJPGjRk9YjjFxmKKjUVMnToVrcZAZMPyLfAAP/zwA4MGDWLJkiU0bHSEhIRFVSCs5EoERLiTEpuNs/vNGdQiVdY7BIEFRVGxa9cuIiMjbaGwo0ePJjIykjfesP4IXVrhNSIigr///pvVq1fTrFkz3n//febNm0fPnvZp2tesWcOZM2cYNGhQhWYjyvnT+/W/zxj/+v/ZxiwLRwcFRG9cXd0xmUz8+OOPNmWlLNw93Fn12yrMZjMdO3bkgQcewGQy0aRJExRF4b///kNRFLvlHbPZzNNPP83UqVMJCAwC4IfPN/LSS5MIDg5Ho9ESEBRUZoG5qV/MISIiAkdHR2Yve5nTqUdt2UgrVV1MUcpUPKz3mPLHERdVS65qnuz6JAoKB04duHJnyc1PGQqLWWX1+VF3Gw6PfEW3Tm/zVh1rAMST9Z/krXZv8Va7t3j7nrd55553mNR0HB32+TA9cCz3NrH+LiiKgqIoaLRaVFod8UlJxCVYfcuSTnuTU+xj+53566+/7Ap0Ll68mOeee473338fT881REd/hsUSednvuKRqMBaZ0Dtpq3sa5SItLHcIRmMap2Ln0LbNGgoKElCpdKhU+vP/6mzm1rIsB506dbI5u5ZHjx49rph2vYTL3bOH9JjKG5/fj09wA0wWC64Obny16EOatgniwPEJFBjuIyy0Gwa1lsDwDXS4rzPDJgxDZ1Bxb8su+Pv6IZqB3zN+tA9qz6strJE2z/V5jt3bdvPP2n8QFkGXXl3IzMkkvE44L4x8geFRw9mfuh/n09Z8FN9+8C24QGi3UIzLCsnTZ3E4NZpFX39A08i29O4xiPi4EwwePJgcUwFt2rcDYNKo8Zw6GcOQe5+kQNRhz9ENfLbiNV4904vgi3IFZSUnwfkfdWsV3vO5NBLOnG9XUZRzBkWpy4ldKef7AQpka/1wzztB7iVLdSXojRbiDZn8EfOHzblZURRs/51/bf2ffZuCgqnYRF56HipFhUqtQqvRIowCIQTH444D0KCmXNa5FbEYzBjjcy+x0Nl/by151iUBVZPu4OWAK2CNLZpE26C29K3T167/2vmf0TgnkE7dHivznJfWnPpiwWG+WBBJVJS1rlNOTo5dltwvv/wSk8nEsGHDLhplEVFR6jJ/nyRVR0ZiPjXqeVT3NMpFKiy3AZV5mN72X9kVemvXnkBYaOkcB1/9+TxuqgOoFQsqlYXDB/L4/ecUYk4WkplRzLjJNbn7Hg9baErpJ3+Fg/tz+OareOJPF+Ltq6NHg5copifbN65DKJBTkMfGHQsBmL/mbX7sMROf/gE41bTm4Hh7+yzcTG6AA7ABDmwA4FTuKc6mnOXErgs5TdwtTtyd1ZxoEcOWs1vYcnYLAHEFcegCdTgNccJSaGHXil3kxuXieY8nXwprxeivD37NUv1S8o/nE/9dPLXfqs3oDaNJyErA7GTmr9ivUfupML6cwVaWQkdwyXdh0tzxhGvDsRgtHP7nMGHDw/ix+XLrhLqDaYqFYT3uYqbaFz1QqNXw9YiK5ZMwFKj4Z96hUu2q+BMkDJtT5jHuwGFxlj+3TKrQOS6l6bmm1MkpP0zWoDFwd627r2psSfWSuz6e3A32S6IqR/vbgCg+X5RTd2UDfEFONgfXr6H1Q/3Q6speRujUqRMFeels2tgOlaE+3R/+3bYvPDyc/v37M3LkSFvbhg0byMk9yJHD4zAWn+OedptRqXQVFVFyDZjNFlTqm3fhRSostwEVWWRo3347RUWJWMwGLMKIsBixWIxYLAZOxrxHYWFCmcd5afaRUeSNu/vdmFCRazpBcO0ztO8VxJypP1GsaUmhpiTvxnnVSZQsZAhSk7L435R5dOndnBcmNOXQ3tN8//mHOEYEUrfuvRQVFrDo97fIyrJG9PS8ry+nojdy7O1TODieD4NcksHCV6djzFXj416bk8dOYsHCBOMECvYXcGbnGXKyrPWkjp+LI6sol7d0/yOiXjhGo5FNqzcx+9BsRk0exaF9h9ixZQe5qdYMvwFZASx5YAmNaYxKpWJis4mMmjyKCe9OoCC3gA8GfIBPoA91G9YlLzWPu7vdzfPtnsdiFujzXNl8/wY+mTWXD5t/QVF+IfdbujG0zivUCA7DWFxMYdJZJuimcFTjSOA7/8NiNJCjVfNYvbpWi5Q47xAtrBYMFAXv4BCERWCxWHBw8USt1ljz+Z+vcC2KTWgszVGUchQSAW+6OfOmcj5IXZR8GqVf2/4raReCtavWkhifyP0P34/ZbCY1J5XTKadpVb8Vao0aXzdfnB2dyz635KZG7XFBqfDsVxd9bQ/U7vbKgKXIqrCo9OrL+rzFxcXR//HHSU1Po3jRryxb5kjfvn1tGZwvLua5d/dzOLsVsWRRES+Pq8PJkyfp399aQTsxMZHo6GhcXFyoXbs2AIcOjcRiKaZ5s4VSWblBmIzmmzppHFC5WkI3K5WpRXA7UpFaQpdj23/3iaPHppa575flLcTiNW+UuY8K1CIaN26caNSokRBCiI0bN4oHHnhAODg42I5duXJlmbV2NCqVqBPsKwChUhShKIoICAgQer3+irWAdGqtCKsRKlQqlV37wIEDxYABA4SLi4vQarVCURQRGBhok+XiraTuScmmKIoAxJgxY+zk+/vvv+3qqLRt21Z07NhRJCYmCpPJJL777juBgggID6jMR1Kt/Pnnn+Lzzz+v7mlUCV999ZX47bffqnsaNxWG+BwRP36TiB+/SSTP2S1y/zsrzIXFQgghzEUmkfrFPhH/+mZhMVvE+vXry/yORUVFib///lsEeXmIsKBAu9+Csvr7+2nFou9DxKuvviJmzZpVZp977mkhjh17Sxw69JpYs7amSEhYXI1X6c4jdl+aMJstN/y8lbl/37y2H8kNo6TOUFkoSvn7KsK2bdvo1s26DFWSJO7555+37W/Xzur7sWbNGusTvxDMeOIhQsNr4VXDmrukXoAvnk6OODjqeOCBB2zHLlu2zHZMCSqVCr1Gx58zvue5556je/fuhIaG4uPjg4uLC7t376Zz5844OTnZji2pMo4KvLy86NSpE40bN2bq1Kk8+OCDBAQE0LlzZ0JDQ3F3v3z+kO+++w4hBDVq1ECv1/Phhx/i3c77Cjlybi6MRiOFhYWVPm7Tpk306dOHoKCgUk7MZZGUlET//v2pW7cuKpXKblmghK+++ooOHTrg6emJp6cn3bp1Y8eOHZWem+QCumBXakxvj8/zjVG76cj67SRJ07aT9tV+zk7ZiuFUNpgFpnOFtmRzl24LFy6kbYvmjO52D+v++t1u/LL6b1nzEwEBWgY8FsyYMWPo2LEjI0aMsO03m4uY9j9ITVtJXv4xXF0b4e3dsRwJJNcDRa1cOdq0mpEKy21ABX1dL3O8qXyF5Qo5U65EcnIy/v7+gDVJ3DvvvMP991sT1RkMBlxdXWnbti1vv/02Z8+exWw2s/3UaU6dOmGrPxJzLpOM/AIoymPy26Ptxo89E0urNy4URLNYLOQa8mn6bAdMJhMtW7bEYDBgMBj46/ffyc/PJyQkhIKCAtv8GjayJqRy8HfA2dmZpKQkIiIieOONN/D09ESr1eLq6kpYWBjnzp2zO/+lSfRq1arFxo0bycvLIz4+nh07dmAxWfAL8bvqa3ij2b9/P1lZWZU+rkQh/eSTTyrU32Aw4Ovry+TJk2nWrOy06xs2bOCpp55i/fr1bNu2jZCQEHr06EFiYmKl5ye5gKIoONTxxGdgYwImtMa1cwgqZy0O9b0AcGzmi9r58tEiySestbyC6lzZAbt2k74UZwSTlvUdJlNpZTg1dRUmUxYtIhfR+q7faX3XHzg4BF2FZJKrxclVx5lD5zAWyjwskpsYIcyXsbCUH4JcVbz66qu88sor1KhhTevuej6Fe2qqNZut0WjNf5KZWcDPC2fZjntu0LPkZuaVO+7vv//OI488Qm5uLgUFBeTm5qJSqfj000/t+hmKrImyGoQ3IDHGWjRvy5YtpcZr27Yty5cvt2srL4mes7Mzzs7OZGZmknMgh5bjWl7xOtwsBAcHk5BQtk/T5Sgra/HlCA8PZ+7cuQDMnz+/zD7ff/+93ft58+bxyy+/sHbtWrtQWMnVo3HX49YltNLHFeXnodHqcHBxsWs/ufsIO/9YiUqlRlFrUKs1KBoNxabWeLf+lf/+eafUWDm5+3F0DMfJKeKq5ZBcG76hrpiLLZzcnULduwNuSquwtLDc4hTmGnG4wpPQFRHmMtP2g9XCci1/t+Wl9gdsFbc9PDx46aWXWLx4MQB97mpB86YtbJaYZcusxRn9fV3xjDPaxvFs4YmjnyMavVXZ+vbV1/FWqwnWamlToxGDBg3izTffxFhUBICbgwPvjxmDyWRCUSlo9VpUKpUt0y1FkJ6eToMGDfDx8WHixIls3ryZFi1a8Ntvv/Hiiy9y6tQpxo0bx9GjR/n000/56aefGDXqQo2TVatWsXLlSmJjY1m9ejWdO3dGH6in48O3jnk7ICCAwMDA6p5GmRQUFFBcXIyXl1d1T+WOx1xcjKqMJJHbf/ubs0fXc/b4fyQe3sjp/f8Qu/tPEqKPkXnCjTzxB5aLioeaTHmkp6/F1UWGylc3aq0KN18nig3mK3euBqSF5RYnPSGPoDoe1zSGNanc5fxUrl6vLc8qcTEXP5n3798fo8nE0eNHeGnYUJYvX860adMAOB6fRv7L7eEna5bdqHYDmLZ+GlqNBhNmtu/4F4sQnDOZSDt7mP/mHmLJt9/i7OpKdnY2OUVFjHrvPUa99x4AxYZiu3mU5JrZu3ev3dNFbGwsGo2GY8eO8ffffzNq1Cjmzp1LcHBwqSR62dnZTJw4kYSEBLy8vHj00UexNLag08lIh6pg/PjxBAUF2fyiJNWH2WQqu1CpEGj0Xoz4dmGpXalnj7L/8IPkZMWRfc6PooJc/t16D6jyaVDv09JjSW44zh46slML8Q11re6plEIqLLc4FrNArSlboRAWgXKNTlTKJXFuVZXa/2JWrVqFEIJ69azh0b/t2IVFKAwdOhSwLh3s2mWtQ3JxJeKF/+3HYrFgMFqtLp9s32g3roNejy4vD31gIPl5eXi4uuLo5ET82bMVkn3evHnMmTOHgwcP8sknnxASEkKtWrUum0Tv8ccf5/HHHwfAZDHx5f4v2bhvIypZB+WamTFjBkuWLGHDhg04XFT5+XIoikJ0dDQHDx60ayuhUaNGPPTQQ1U+1zuBEoXFUGBdUl3x2dckrdxIUW4qKnXZVl+/oPo4HHoUoZ5DTsEa/v2vOaggdf/DpDh64Fl6dVVyg3HzdiQhPZPkU9kE1Ly5ipRKheVW5zL6yIGNCfgEuxBUx/PaBrqIS7NWltT5iYqKYuHCheWm9r/UKjFw4EBbn4utEgAuDg60bNORtWtXAPDPP//Y+oqLbvz1vfxQNBpMAs6aTTgoCkVC2LKNFxkMaF3VWMwmUBQMZjPpZ8/i5elJRmambRyVSqFVq7twdnbmwIED1KxZk88//5xGjRqxefNm4uPjSUhIqLSVJC47js/2fUa4WzgNvKS5+1qYNWsWM2bMYM2aNTRt2rTCx/Xs2dPOH+fiiLLDhw+TnJxcpfO8k4g/cYxjp2L553erxTM9O4uzmZk4O7jRuGXbUg8vgDXfiu8TKGI5aQmFnDhWTE5MT5zz7kfXUd6ObhaC63ly9mQWhXlGHF1uHuuw/Au5hRGXCQ8SQuDu50RRvgkhxOUdqM4nLCtnp50qUxLmWB6XS+1fnnWmTZs2xMTEMHHiRGbMmEHL2jVtygpYU3eXMG3ShWRppvjDnLkopXeRLSnaBeJyzVhyz6IA+XlWB92LlRUAi0WwY8cO3N3dUavVBAYGEhkZiRCCpKQk8vLyuPfeyhf6s2Cxzrn9NJr4Nqn08RIr7777LtOmTWPVqlW0atWqUscGBwcTHBxc5r6MjIxShTAlFWfD6n/4fMN/zF5tdVD/dfsWft2+haioKCYMf46fBwywe3gBbDXMSti8A/y8/uTv78YT0cznhs1dcmXMRgs6h5tLRbi5ZiOpFIYCE3qnsj9CRVEQFkFATXdO7U3D2UNfrnlPlBG6bDYbOHPmWxw1ReRVMGzaaLLwy+54/lgXh4NezePda9GryQXnzYpYZ6yoCAkOIz7hdKlzXFxzZP3WfwGrFackBPpSLDYZSyt4arUaRQhMFmuvvLw8zGYzZ8+excXFBYPBgFqt5ssvv6R79+4VuwjA9qTtzN0zl/jcO+tmWNnlQqDMrKg6nY6GDa2h5jNnzuSNN95g8eLFhIeH2ywiLi4uuFwSnVJZFEXBYrFcuaOkTCZ+9Dm1377wAPHsuwvwC/O1vS/r4UUIQUZSPr/N3ktAhBv3v1Rxa5nkxqLWqSjMLcbF8+ap3CwVllsYnYOatNO5GAusN/EStaPktuzsocfJTUetFn7kZRqIO5BOeJPLP8UIIcjK2smerR+Sl1GMEM1Zn6wQUCOVBgFu/LInnmOnsnBx1eHprsfDUUdmvoGEpDxiTmRiMJqp28ibgkITcxfuo+hpMw+3sD7hlmedKUk4tnXrVgDW7tt/Rdk9PT3JPG8pKU9ZuRJms70nvK+vL4GBgdSoUYOdO3fSqVMnHnjgAUaPHk1YeBiZwZkUmgpRKSrUitr+X5UanUqHXq1n9enVnMg8QY/wHmhVWmp51Lqq+d1qVHa5EOyfuHfv3s3ixYsJCwsjLi4OgM8++wyj0Ui/fv3sjpsyZQpvvvnmNc1XpVJJheUaCG3cjKhZn7D5h184c7gYZ3e3Kx4jhGDrryfRaFV0fKreFftLqo+g2h6c2JVCrRZ+N01COamw3MKo1CqadCrb3H0pLp56LGYLSTHZBNa61NIiyMmJZue2UaSeSaW4uACvAE+6PvwGSXmu/LH0FNO/2I1ZAY1aRXANV7LSCjleaCKvqBgXBy3unnq6dArlweY1qOPvitkiGL8kms9+OEiTYHdq+5XvcZ6eno6/vz+PPPII8+bNq5A8mZmZuLm4kJNXfh6WypKcnExycjInTpygQ4cOuLu7M2bMGI4cOcKUd6aQHZWN7nxdEwsWLMK6lUVtj9pMaz+tyuZ2K3A1y4WX6w/YFJfrgUqlqnCFcUnZ+ISEEdzoYc6eiiU3swhnj9JP4znphZw5nEH84QzS4nPJPVdEt4ENy+wrubkIa+RNckxWBf0grz9SYbmDcPNxJD/bSPKpbDwDndE7ahBCkJ9ak3OxmXj4qqnXqiVennfj6dkGRVFTxwW+fiWAVYdSyCks5r4mAbg5XDnvi1ql8M5jTel/ahNvLt7Ht8PvKVdL9/Ly4uuvv660PFWprFxMXl6eLUcMWLPnGgzWSIjve39Pfa/6tn1CCJviYrQYKTIVYTQbcdNf+WlTUr3IJaGqoUTn+2Xmbp6d1hYXTwf2rIwj4WgmGckFFOYYUVQKARFu1Ir0JaiuJxFNpb/KrYDOUUOx4eb5jkiF5Q4jsJY7+VkGMpPyMRSaEBZB87tfxcnVGTe3steTFUXhvsYBlT6Xg1bNuP5N+b+Pd/DHvrP0jaxRZr+Ln8wVRaFRSDCH4q+caXXkyJHMmTMHvaJgqOIn5e3R2/EO86bHqz1Y++1aOo3oRBFFLPrvNAV5RagVBbXKWnuj5LWiYH2tVtCoslGrVLg7aolqG4bmJi7Zfqei0WjsfKIkV0frByJw93VkzYLDZKcWsm1ZDDG7U6kZ6UvjDkH4hLhSo54nekd5u5FcG/Iv6A7E2UN/iTn2+j3ttKnpjYOjhsSsihfTC/HzrZDCUpIxt6qVFYDc9FzyMvPIy8+j7Zi2BNwbQISmJgv/jqd487vknz1OfloiEff2o/7Dr2IRAosQmC0CiwCTxUKh0cLpHf8w+M/3uK/3A3yzeCko4O2sR32TrAnfCRw/ftzm7wQX8rCkpKRQXFxc3mGSShBczxNFgT/mRqPVq+kxuDG1W9469bMktwZSYZFcd4wmC47aild8Xrm7/MRsF3O1zrYVoXv37jg5OdlVHC40mqnz2ze0bhDOY6OimD17Nh2bBzFnRIcyx1i38yA9Zs5HH9yIjcfTaf2/tQA81TqE6Y/I6IgbxU8//YTZbL5QguEiygt5llQOZw89XZ5rQOKxTFreH46Hn1N1T0lSRdxMfl5SYZFcVywWgcFkwUlXcYXlya5dWbJ27RX7XS7j7LVSUj5AURROnjxJrVq1KLZY0Lj78+JL79C7aWC5BfvAGoH0fyOHMmHSG+zavpXc3GzeimrFC9/tJrtQPtXfSCwWC/fffz933XVXdU/ltqZ+20Dqt705a1BJrg6LRWAx3zwKi1xYl1xXikzW0GHHSigsxRX8fpQ4wl4PFEXB3d2dzp07ExISAoDp/BdXo77ycs5bb72Fn58f70wYToC7A74uero28KdlmCd6TcWvhUQikVQXKpWCs7uerJSC6p4KIC0skhuARlHYG5vJQ83LdrotSThWUGD9Umzbv+9GTq9MVCoVbm5uuLm52VLym8xWb3ntFRSWLVu28PXXX9uSotkhKloEQSKRSKof/wg3Yvak4u7nePmM6TcAaWGRXFecdBqeerAu2zcn8O3Wsn1Odu3aRWRkJPfccw8AZ9PTb+QUy8RisRAfH8+mTZvYuXMnACaL1cKiLsMXooTc3FyeffZZvvrqK3x8SjszKwpYbqI14TuBm2kNXiK5FQmq48HpA+eqexrSwiK5/jx/b00SMwr5/pejOGg1PNYq2E5T79SpE/EZ+Uz/+SC/ffgGZw+uqsbZWhk7diwnT57k8OHDdOvWjcOHD2NxtCZPUl/mKSMmJoa4uDj69OljayvJ9aHRaLhv6g8I99rXd/KSUlT3k6FEciujd9ZiKq7+fCxSYZHcECY92JAJ+Ubm/XCQn1ecxDfAGYtZoNWrUNQK+/enYVTgpRHP839Dqldh6dCpM2Mnv8Xwl4ZQq05dHJ2c+PiTTxk4YgIAlzGwUL9+fQ4cOGDXNnnyZHJzc5k7dy5vbcrEIh/4JRLJLUTi0UzCm3pX9zSkwiK5MahVCu89Hcm6limsP5RKSnI+Go2KogITRoOZDvcEM+jemoT7ODN5sGDFihXcf//91TLXzRvW4+/uxMV1nw/GJfODpR0Ap48fxinXza5gX3Z2Nl988QW7du3i5MmTDB8+nDlz5gDg4eEBWPOBrH13EnlpCcwfbKFOnTqMGTOGZ5999gZLKJFIJBXHbLag1lS/B4lUWCQ3lC71/elS3/+K/RwdHSs9tqODlsKiqgkZtq4gKKAoCIsFF7WZ2U80w0mn4b7GF0I3Swr2aVy9cK/XFqf6vdDn/Mn3W2NYP+k3hBDE7zmDqSifnT8fRt3iEbrUC+Xjwd3466+/GDhwIH5+fvTs2bNK5i2RSCRVibAITEbLTbGsKhUWyU1JSbr+DRs22FUALsHLy4uMjAy7trreDnS+dzBzfvisVH+NToep2ATlFCu8lBJHTZWiIAAHjYqHI4Nt++6duoz8YrirhoPtGKuOo/D70fX4uKi5J8S6Tzt8IlqNGietmuNHDtKxvje1atVixIgRfPPNN2zZskUqLBKJ5Kbk3Nl8AmreHLXRpMIiuakpqwLwihUrWLx4MYsWLbJr35eYy74fPuPBRuFkWnzZe/o4KjUUaJwx56VfVllp0aUPplbPsGrUvQA88sgjbNu2jTZt2rB161YcHBzs+qsVCHFV8flLvUqNdWTJDJo3DWfOi/eV2rdwYSwuDlalZ926dRw7doyZM2dW+HpIJBLJjSQ/24BXkHN1TwOQYc2SW5BevXoxZMiQUu0TJkzANKsZH/epwdgnXJgx5lEcAhxR6ZxQu/pSv34D1JoLlaYdvXzp9GAnQiJCiDm4k8KkYwwbNowWLVqwbds2XFxcWLx4MQANGjSwO5dOrRCdqeGJ9/+s1Nzz8/N59tln0el09O7dm48++oju3btfxVWQSCSS60vi8UwQ1gRyNwNSYZHckuTn55dqS0lJ4UDXhTzgl8vXrkHM3L6e9PhUzIU56IPqk+7ijUVYUPTWOieFmels+GsDysMKqoYhnPjuDZYtW0ZSUhIADRs2pGXLlgA888wzdud6p19LajgYOZtXuWq/Dg4OzJo1i507dzJt2jRGjx7Nhg0bruIKSCQSyfWl2GAmrHH1RweVIBUWyS1Jr16ll2IWLFhAZGQkJyad4I8x31MQW4AwCzDl4uBURHF+Diq9A8JwPs20EITVq0vOt3lkbtiJY62mvPvuu7i6ugKwY8cOzp2zJksaMGAAnp6edOvWjW9+/pPTqVkUmhRbINGSJUtQFIW+fftedt6KohAUFETz5s0ZM2YM/fr1Y/r06VV2Xa6WTZs20adPH4KCgujTp0/ZWXovIikpif79+1O3bl1UKhUjR44s1efQoUM8+uijhIeHoyiKLWpKIpHcGljMguRT2dU9DRtSYZHcNkyePJlJkybx/fffA/Doiw/hGeKDs1ZL7/q1eOWRPixd9J3dMeccapOdZ0Tt6oHeJ4CxY8fStm1bW2XfJk2aANCmTRu2bdtGSEgIg555kpFL9pBh0uKgUYiLi2Ps2LF06FB21WaAgiIji9btJSEj387b3mKxXNeaSBUlPz+fZs2a8cknn1Sov8FgwNfXl8mTJ9OsWbMy+xQUFFCzZk1mzJhBQEBAVU630shstxJJ5anZ3BetXk1GUmmLdnUgFRbJbUPLli155513ePjhhwHY8f0O8hMzyMnOYceOLaCD/479Z+2sKKi1Gia+96o1ukelwxi7n4iICP755x8sFgsuLi58++23tvHnfPUNi/9ah8VQQOJnA8n4rD99vJJ5+umnmTp1Kh4eHmRnZ9vlZzl8+DCpmbk8Pns5r06dwyc7s1l/NIUjR47w/vvv891335VabqoqLraaKIrCb7/9Vm7fXr16MWzYMJYuXQrA559/flmrSadOnfjwww/JyMjA3d29zDHvuusu3nvvPZ588kn0en1ViCSRSG4w3jVcyD1XVN3TAGSUkOQWo6RQYlnExsYyaNAgsrOtJszC/EJCg105EZNFbGwiWalZ7I/df763gpenF/5xifi6O5OSkkIBUHSRJSAvL4/IyEgANm/ezObNm9EG1gFFQa/TkZuTw4hhL9GuXTuef/55Bg8ebDu2JD+LDbWWdr0fZ9eaz/hkWTrfvetM/fr1WbRoEU888USVXqMSSqwmgwYN4pFHHimzz2dnUlmSnIGDSkEkn+VEijVU3MPDgz1btvDB+PEX0ucJOJOcxLn4eNo3bUpGejrr/viT+FOnMOfl8e74CSgKGDTOWBT7itTZWTmsWbkeQw6oFDUqlQoFFbY1NaGgKNbNus+aA0fhfJuisv6rVqFSqfAKdMHZvWwl6NJ8EdK6IpFcG5abJD33NSksM2bMYOLEiYwYMcJufXrbtm1MmjSJ7du3o1arad68OatWrbpsMrBPPvmE9957j+TkZJo1a8ZHH31E69atr2V6ktuQXbt2lZmXBWD06NF277VaLRq9M5CFwWDg008/vXDzEhbSUlMZPHiw3Q0uOTm57BOrNWA2EeGpJznflffff5+ZM2dy6tQpGjduTP/+/XF1dSU3N5fu3buzfft2jh07Rk5BIU9+vI5ioeHf2VE8M287qfvWsfrj1/Hz87tuygpYrSZl+fpczL9ZeRSYLdzl5kpRzZq4Dh5G3LpVOGg0uGl1RLi6WhUHRQEUanl60KVhQxRFYfWWLfi5OBOr1eLp6EgDby8wm8kp1JBYYHXUO5VwjE07V5Gdk8Xfq/6gRkA4TRs2w2wxX/gszl9+ISwIYeHIiSP8ueIXklOT8HD3pGvH7rRs3vp80UjBzNnvkJWdWUqW9u3b8/jjj5dq9/b2xt//yskKJRJJ2XgFOnMuMQ/vGi7VOxFxlezYsUOEh4eLpk2bihEjRtjat27dKtzc3MT06dPFwYMHxdGjR8WPP/4oioqKyh1ryZIlQqfTifnz54tDhw6JIUOGCA8PD5GSklKhuWRnZwtAZGdnX604kluI9evXW+9cl2zdunUTkyZNEp07dxaAmDBhgoiJ+UwAonPnziIgIEDodDoBCK1vhFi/dYcYPny4+Oabb4Szs7NtHLVnkEClEYGdewtAeHp5ifvuu0+4uLgIJycnsW/fPpGdnS20Wq1QqVTi22+/FcOHDxft27cXbm5uonv37sLd3V0IIcSYr/8REeP/EL9u3i+EEOKBab8KZy8/0aFDB/HQQw/dsGsGiGXLlpVq7x8dIwbsP2V7b8zJEYAICAu3+16XRVhYmJg9e7bo2LFjmX2LC4rENzM+Ec+27ytcHNzLncPFnDp1Sjg5OYnRo0eLw4cPi48++kio1WqxcuVKW595k/8RSz/cKJKSkkRSUpJYvXq1AMT69esvO7ZEIrk6LBaLiDuYfl3Grsz9+6osLHl5eTz99NN89dVXvPPOO3b7Ro0axfDhw5kwYYKtrV69epcd74MPPmDIkCEMHDgQsK6f//3338yfP99uHIkErMnkcnNzbUtDkZGRfPDBByQnJ/P555+TmWl9+p43bx7vvHMWeIls95Yo9z1MiNpIzNdjUemdyM7OYXNSHh8PfgFLsdXxVRtYFyxmhEaDr5szSUBuXh4rV64ErMsNkZGRCCEQQqAoiu3v1mKxIIRgzZo1KIpCYI1g0nINuAdFUPfZBZjNZrZ9PYU2/V4k2HCarKysG33pSiEQ1uWX82jOW0GrwgKscdTz3PiXeea1F1nh7k9eBY75/PPPiYiI4P333wes+W+2bNnC7NmzbdmA3V088XJ3tjnyzpgxg1q1atGxY8drn7REIimFoiiYjdVfrfmqnG6HDRtG79696datm117amoq27dvx8/Pj3bt2uHv70/Hjh3ZsmVLuWMZjUZ2795tN5ZKpaJbt25s27atzGMMBgM5OTl2m+TOYteuXURGRtp8TEaPHs27776LWq1m7NixAGRmZhISEgZAeuJpkhYOJ+Zr6z5DwiH69urG3qXz0fiEWJd8gOKk4xSnxGAxFrH/958AMBmN1hLNOh2KSmVTTMDqH2E2m3nyySd58MEH8fDwoEePHnz11Vc0a9sZc246Gcd20rhxYzQaDediD9K0y8M2OX799VdatWqFh4cHzs7ONG/enO++s49kup4ISuomWVE01uugVLCEQUVQqVRoNNaT5KdmXbbvtm3bSv2u9OzZs9zfAqPRyKJFixg0aNBNUetEYo8QAmERWCwCi9mC2WzBXGzBVGzGZDRTbDRTbDBjLDJhLDRhKDRhKCimKL+YorxiCvOMFOYaKcixbvnZhlJbyb6Lt8JcI4V5Roryiktv+RXbDAWXbIXWORqLrFuxwTp/k9GMqdiMudiC2WTBYrZgsYjbzndKrav+GJ1KW1iWLFnCnj172LlzZ6l9p06dAuDNN99k1qxZNG/enG+//ZauXbty8OBB6tSpU+qY9PR0zGZzqTVmf39/jh49WuYcpk+fztSpUys7dcltRFkp+y92yH333Xfx8vJi7NixjBkzBpPZhGNESwwpJ7EUWJ1y1a6+mPMy6DNxOr+MPO9LotGAyUR4eDhffvklPXr0sLZbLGAyI/wDcczKoLCwAJ2DA8Yiq/d8SSg1wJo1a1i5ciWx8WdZtUxDqwcHEP3XQhRFodOEBVxk0MDLy4tJkyZRv359dDpdtRVEvNSZOd1k4fODx2m+7C8GPPwAEydOJDEx0RY1tWnTJpKTk5k8eTL5+fkIIYiOjkan09GwYUPAqkzsXfwFlsJ8BNailK+OGMXAV14gNDSUyZMnM2DAANs5zWYzhw4d4sCBA3zxxRcEBQUxYMAAWrRoQU5ODoWFhTg6OqJcSH/Db7/9RlZWlt04kurlXGIemckF6BzOO14rnHeiPq8cK+dteqXeKzblWVEu6l/G+xJK6QQlLmrlKAtlNpfRJi5ttI1r/T9haxPn284rZ1x4jShz6HK5GnVbXPLiSjq7qOR5SsZXgJy0QixmCyp19SkulVJY4uPjGTFiBKtXry5VWwWsJnGAoUOH2szkkZGRrF27lvnz51dZgqyJEyfaOVjm5OQQEhJSJWNLbl0udchNS0tjzJgxANTQJnM2drddf3NuGgC/DH/sQqPJmrk2IyPjgrJSgsWMSEqg8PzbYkdnKDaB2cRdXftgSD3D/gP7MJvNdk/7Ea27s+eP+QQGBuIRVNPuV6xTp052p7jRBRFLfsAvvXbmpATMSQm8pNEwV3Em+PARcrOzbPvz8/MxGAy2HDKbNm0iMjKSsLAw4uLiyE9IZePzQ+n9z29258ssyqKOfyivvPIKgwcPJjAw0CbnzJkzycrK4plnnmHq1Kns2rWLgQMH0r9//3In/vXXX9OrVy+CgoKq7qJIrhphEWSlFlC7pV91T0VyG1IpVWn37t2kpqbSokULNBoNGo2GjRs38uGHH6LRaGxWkpInrBIaNGjAmTNnyhzTx8cHtVpNSkqKXXtKSkq5yab0ej1ubm52m0RSYnUpeboKCwuz+UK4Ojvy2Wd/8c6KbfTbe8J2jKZWXeu/PufTT6usT4W5ubn4+PgAEBgYaH8irbUekcjKBLNVwTm4eT2xJ61/43Xr1CMpKYnHh1qV6t+nPofFYiExMZGlL7Vj9pMt+Oabb/j999/RaDTExMRYxxOCtWvXcuzYMe69995rvh55eXlER0fbstbGxsYSHR1t+y5OnDiR/yaPRbno2u3du5e9e/fSsmVLnnzySV7p0Z34zAyCHnqKDRs2YDQaiY6OJjAwkMDAQNvyW0kEVlxcHEUZOcTc/wARp4+yt0lr4qcNZ/RTfQEY1mM8I/ouoIXRlX79+jF79mzbfLdu3Yqvry+enp6Eh4fTr18/evTowf79+3Fzc7soytCqDJ4+fZo1a9bYhZNLqg9hEZzcnUpIA6/qnorkdqUy3rw5OTniwIEDdlurVq3EM888Iw4cOCAsFosICgoSkydPtjuuefPmYuLEieWO27p1a/HKK6/Y3pvNZlGjRg0xffr0Cs1LRglJLoUyoogAEeAfJAIDA23vtZF3CUAont7lHmO3KYrde52Do/V4FKHRaK1RRopGNH/kHeH/4BihdfEU3t7Wsb29vYWi1gqdk6vw9vYWPj4+4sCBAyI1NVU4OzsLjUYj9Hq9+Prrr6vkGpQXTRUVFSWEECIqKkpom7UU/uv2Xva6uXp5i+BV24WxqEjExsaW2adRo0ZCCCHMxSaxs3eUONCgidj+/GTx8dC1Imnrv6JDhw4CEEsWLBDfDPtR/DFhvpg/f75wc3OznXvatGnCzc1N1K1bVwghRHR0tPDz8xNt27YVPXv2tPX75d1dYs2CQ2LKlCkiICBAFBcXV8n1klwdFotFnD2ZJWL2pgqjwVTd05HcYlTm/n3VYc0lXBrSOHv2bOHm5iaWLl0qTpw4ISZPniwcHBzEyZMnbX26dOkiPvroI9v7JUuWCL1eLxYuXCgOHz4sXnjhBeHh4SGSk5MrNAepsEiEECI3N1fs3btX7N27VwDC0dFRODk5WRWKixSN8ePHW19rNELl618xRUWtsd683d0r1v/8piiK6NWrl2jRooUYNmyYUGl0Iqx5e+Hn5ycA8dBDDwmz2SxOnDgh9u7dK2bNmiXc3d1vWIiu/7q9ot6m/eXu37hxo2jYopVQefmUG5Zc0r5v3Cyxs9MjYmFIiGgYGiF0Wq3wdg0QY58fJEJDQwUg3p85U7z+yGzxeOeewt/feu1dXFzEW2+9JUwmkxg6dKjd5/Xggw+WCmv+5d1dYtXXB0RoaKgYP3789bgskgpiNJjEsR1JIi+r/LQVEsnlqFaFRQghpk+fLoKDg4WTk5No27at2Lx5s93+sLAwMWXKFLu2jz76SISGhgqdTidat24t/vvvvwrPQSosEiHKtygAwtPT0/Z6yeKfrDdFrbZSysfVbnXq1LGz0PjUbCjUarXQarVl5mJ5/vnnRY8ePW7INXt870kx+EBsufuXL18uOjz4iPB4873LKixNImoL3/NKnU6tEaNHjxbb/vpbdGz8cJnXRKNWi4CAAKuVS6sVer1eREVFieDgYPF///d/ol69ekKlUlktVmq1qFmzpnjrrbeExWIRS2fsFDPHfiUAcezYset3ce5QLBaLKMgxCIvFctl+Wan54uTuFGE2X76fRHI5bqjCcjMgFRaJEEIkJSWJJUuWiCVLltisF1OmTLHdFEtull9/tsj6ZK+7yBJy6U31/M2yZCu5eSqXLAldvLVqHln2koqrqwgJCbElrdPoHES7du1ESEhImQrLwIEDRceOHa/bddq4caN44IEHbEtjXed8ftn+n33xtXDocp9N/osfUEwp8QIQPTzcxXuNrMtrISEhQgghMo8dFx8PXSse7NxJeHp6igF9HxEfD10r6gQ1E2qVSnTt2FE4OzuLjz76SCiKIvR6vfj444+FENblIW9vb/HMM8+ImjVriqVLlwoXFxcxd+5c8dP/doh1i45ct+tzp2GxWERSTJaI3Z8m4g6ki7gD6SI5NlvE7k8TsfvTROLxDFGYZxRms0XknCsUpw+li1PRqSL1TE51T11yG1CZ+3f1B1ZLJFXEkiVLePLJJ3nyyScB+P33323h7xc7zuodrMFxDhp4uom1Ho04vy/I3+poqwiB40XheyURcOIyuRX2H9hne12jRghOTk6A1Qk9OTkZDw8PAMxmky3E//jx46xevZpTp07dkIKIUPnKzCqVGsXDE4Dw8HBbu6Ugn/hn+gLwqL8Dj498CsBWvVk5f/3ubXUX+fn57Dx2BJ2q4Py1VDBk5NKwYUOWLl2KEAKDwcD+/dZaT1u3buWhhx6iYcOGqNVqmwPujh07OHByF0MnP4per6d27dosXLjQbr7h4eG2ukQXb8OGDbvKK3ZrkHE2n9j96cTuS8NsKjuPjsUiKMgxkp6QR/yRDOIOpBO3Px13X0fCm/gQ1tibsMbe+Ie7Ed7Eh/AmPvgEu5KdWkji0UyMhSaC63sR0cwX3xDXGyyh5E5HFj+U3DaMHDnSVmF4w4YNdmG6F0epnU1LAKBQcWZ3igowXNiXkg5YFZNCc/nKSVkYzRduEomJ8bbX27dvB6yJFQGE2cQ333xj2z9kyBBSUlJwdHS87gURoWI1hi4mODwct1fGUfjrDzYlLDctma1P9KDgtDVpY35YFkfzrK89PDyYOHEicUeP0t7/VXw8PDAajZyKi+Oodg06TR5uTt5sObAHRVFsGYOFEHz55Zf4+vrSoEEDvvnmG0wmE0OGDGHfvn1s2bKFCRMmMH7cSPQ6PUajkZiYGAYOHMiBAwdsEWE7d+6kWbNmJCUl2cnx6aefAlRYUbuVSDiagZO7noimPphNFs4cOofWQYN3kDMOLlrOnsjCWGRGo1Hh4KLFyU2HZ6AT6grk1NA5avCPkJGYkupHEZd7ZLxFyMnJwd3dnezsbBniLAHsE6FFRkbSpUsX1q1bd9ljNCoVQgGz2YKTSkWB5fLZXn193UhLu3KW5Q4dOhAfH09CQgJmi0BRa2jbuhXHjh2jSZMmrFy5Ep1OV3HhqhBFUfANCaUgJ5v87Gz6DH2ZWi1agqIgFAUUFbkmM7koLH1xIBEhITRv0oi9G9YTV2Aoc8wnnniC/fv3cyomBosZwoL8ORkfz8qVK5kw7jWi9x9AQaFru24k5yRx9OhRTOfz34A11UFubi4ODg5kZ2ej0Wgwm81MmzaNbdu28eeffwLg4uJCp06d+OuvvwBYuXIlQ4cO5fTp06XmpNfrMRgMrF+/vlTum1udtDO5qDUqvIKc7dqNhSayUgsozC3GP8INB2dtNc1QIimfyty/5ZKQ5Lbk0tT9FysrTo5OZR5jslhThwNXVFaACikrAJs3byYuLg6TyYSwmLEUG/j3339JT09n/fr1ODk52XKxVAc+Ls50729dgtIooDebcCg24mgowqkwD39DAcH5WQAkJCezbPlK4goMvP/CU3z00Ueo1WpWPu1Ewq/zAWsSOUVR+O27b3mq4xiSz50DrAklBzXogVpR0yisDQ+1fZQHej9A37597ebTvXt3FixYgKurKz/88AN79uzhm2++YebMmfz555+oFBXBAWFMnz6dFStWULduXRRFYfbs2ezcuZNhw4bRunVrkpKSWL58OQC1a9e+LesNWcwWcjOKSikrYLWM+IW5EdbYWyorktuD6+lMc6OQTreSS7k0xHngwIEXnGBdXG9IdNDltlq1agk/Pz/Rvn17MWXKFNGuXTvh4eEhPDw8RNeuXcX27dtvyHUCxBNPPGF7fblqyoDQaDTCUau26/v4ow+LnrXUImHZfJt8f/31lziwZbPQaRxEreAQ4ezsLHr27CnUKpVQKSpRJ6i5+HjoWvHqE6NseWpKNgcHB+Hh4WFzwC2hffv21v06J/F47wFCCCGeeOIJERYWZnNuFkKIBg0aiJEjR4p+/frZnK0dHR3FtGnTqv4CVjOx+9Nk7hPJLY10upXc8WzevNnOwrJgwQLbvty83CsPcB0L6Wn0jmRmZhIYGIi3tzcnTpzg6aefZv369Wzbto2QkBB69OhBYmLidZuD3Xw05buyXZotFyHw8fa07Z84cSJn4hPYlmC2O+7bb79l1sef4KB1Iu5sImFhYRQVFdGvXz8ctVpikw9w6PR/rN6yntqB9jXGmjdvTkFBASqV/c9TQoLV98hiMePlac1M3LNnT5KTkwFrduLCwkJOnTrFZ599Rs2aNRFC4O7uTmFhoc3/5nahKL8YjU6NVqeu7qlIJDcE6XQruS25kMb9KrkOrl1qtRqz2YzJUEiGoZCMjAz2799vi0AqYd68efzyyy+sXbuW5557rsrncSlabfnLBZfWGDKZzcQnp9veJ51NJD0hnhwD7DluXdby9/fnzz//pLCwEL3GibphYRw5cgSTyURUVBR//fEHAN+snUZhcRGctb/WR44c4e6772batGmEhobSqFEj9u7dy5kzZ+ycdEvOVVLPqASLxUKrVq0IDQ3FZDIRHByMp6cnP/74o80p+1ZHCEHC0UxqtfCt7qlIJDcMaWGR3JaU1MbJzc211ccB+OCDDxgxYkSFx3HXu1TZnMxmqxVCUanx8rLWW3FxcbFZDkooKCiguLjY1qequdRqkpGRccGCgtVqUqIoXVpjSKNWUzvUGiIeHx/PZ5OH83yDTAAeHD8NsNYBKyy0log0mAo5eV7ROH78OKdOnSK/qIhl779HhGcgapUaJ5295eOuu+4iJyeH5ORk+vbtS506dRg7diweHh64urpSbDby2XezUBSF3r17247T6XQ4OjoSGBhIw4YN+eCDD9DpdBw+fJiePXuWW8/sZqUgx0h+tgFDQTHJsdmcPnTOtp05nEFQHQ+7IpsSye2OVFgktzWXOt+OHj2auXPnXvE47flvxvUIoXt70Wr69++Pj48Pfn5+fPHFF3b7x48fT1BQEN26dbsOZy99Tf744w/ba4CkpKRSN/eS/iazmZNnrOHCI0eOxKnuXSTmWHB1drYVnizZakZE0LzmvfRs3tdWEPV///sfAGcyMlg5cAFPd3kBRbGPkFqzZg1Hjx7l5ZdfplOnTpjNZj799FMaNWpEaGgoAI6Oev78808effRR23El+V/uueceoqOjOXXqFDVr1sTf3x+9Xk9YWFhVXsYqR1gEqadzrLlRDqSTl1lEYa6RzOQCPHydCGvkbbc5uVVPZJlEUm1cP1eaG4d0upVUhkVfL72iU+yj9zgIQDhpL2S21avVVeJwqzo/jqIowt3dXXTv3t02t+nTpwtPT0+xb9++KpV548aNom3btkKv19vmsWzZMrF27VrxwQcfCCEuON2WZML18vKym7evr6+oV7umCPDxEIBwc3MrV8YuXbqIDh06iD4tu4nxj35Rbj+tpux2nU4nnJycRGBgoFCr1SIoKEiMGzdOhNYIEZrzxyiKYpfBeMWKFUIIIXbs2GE35z59+ggnJyexaNGiKr2m14qhsFicO5snzhw+J2L3WbPKypo8kjuNyty/pQ+L5I4jssldV+zzy79FABQUX7Cx6NVmDObyjqg4FrOZevXq4e/vz6ZNm9iwYQOJiYn88MMPzJgxgzVr1tC0adNrP9F5Nm3axNChQzl+/Hgpf5mCggISExNtS0KxsbEkJCRgMBjIyMiw9XN00JOWlkZaWhpajdXJMyen/LDu9evX06tXL3Ye3cX6Q7tQa9SYTWZCgzw5dy6fAkMxAkF50eNGoxGj0UhhQQEarZaUlBQGDRzAnA/ep317Zw4dLiIt1UxxcTEAjz76KPfddx8ALVu2xNfXF4PBQFpaGocOHWLOnDk8/fTTV3sJq5SzJ7Ioyi/GwUWLi6eeoDoeqDXS2C2RXJEboEBdd6SFRVIRSkKdp785+4pWEF9fX6uFxan82kHXsrm6uopGjRoJRVGEj4+P6NKli3BzcxPbtm2rcrmXL18unnjiCdGxY8dS8xgwYMCVLUIq+2vg61W5itU6jV40Dwm0vY8MCRUtghpe9hhnvdtF57dapDa8ulL88MwMERHhKDQalQgKChIvvfSSUKvVYunSpSIyMlLodDpbjaSLCyOWhD5fur388stVfr3LIzejUJzYlSKtKBLJRciwZomkDEp8Nya+OeqKfdPS0gAoKBBX6Hl1mM1mTp48SZcuXSgoKGD9+vXMnz+f8PBwkpOTSU5OJi8vr0rO1atXL5YsWcL48eNL7SssLGT27Nl2vifjxo1Do9GgVlstKUIIuxDjtIzsCp1XpagY3ud9zJZi9iVYQ489XF34ZcEMjqZbI4rubV2fsLAwQkJCbOcDyDfk0O3eDgD4uAYBEKRV075GO9584iUmTfo/Tpw4QUxMDB07diQqKorOnTsTHR3N66+/jlqtJjY21jbezp07SUpKsm2rV68G4LHHHqvwdbxahEWc90kxULulH87u+ut+TonkdkQqLJI7hk6dOrF+/fpKHaPRXJ8oDEdHRwwGA4cOHaKgoAAhBP369SMwMNC2vffee1V6zvLqBxkMBrZt22bbVq1ahcViwSJKCj5aCwpqNBcUiqYBLogp1jTaXi726bRL8p1YhAVV2Gk8nR3o3tSaa6V9x05sTTJTaLSGIkfeFU5mZibvvvsugYGB+Pr64uzszMyZM9lz8BAAWfnJ6LQ6/J4LR9WsmNr376P/0xrS0tJYs2YN7u7uRERE8P7779OgQQNeeeUV+vXrx+zZs21z8vX1JSAgwLb99ddfNyTzbXZaITF70wiq40FATffrei6J5HZHKiySO4pOnTrZ0rVXBLOp6iwsarWakhxf586nq09JSaFevXqo1Wr++usvYmNjWbp0KS4uLnh7e1fZucvD0dERk8nEunXrWL9+PevWryM+Id5qbbFYZdfptHRv2wyT6YIDz6GUPIyF5xUT9QWlTqvVYjQabXlw/M8ex1XvgFLDHwC9VsubU6bg5+eHk7NCcEQgOTk5jB07lgkTJjBgwAAcHR2ZMGECWVlZAATWCKJzl864N6tN0FNdULTWi7hgwQL8/PxIS0srFVHVs2dPtm3bVqbMRqORRYsWMWjQoCoPC7aYLSTFZNsifUxGM7Vb+qFzkO6CEsm1Ir9FEsllqCp1pSRpnBlQzo9bs2ZNfv75Z3r37k1gYKAtp0h4eDg//PADO3bsqKKzl09AQACTJk2yvW/5XUvyNHmo1CosZgtCCPBSeLD/YL74fpmtn1lAYbHVAmMwGm3tpmITAkHdwBacSj5ATNo5crCwZtVWAHbt2snp+AQaN2xASFguK5bvBrBltg0ODiY9PR03Nzfbktjp06fp16+f7RyPPLyJ5OR/bO+Tk5PZsmULxcXFtkrMrl6u5OTk8MLfL5BcnIxaUaMoCvcE3YP/CX+ysrIYMGBAlV7LpJhsivKMBNb2kLV7JJLrgLSwSCQVRHUND+POOjVatfXr5uPhgl6v5/jx44SHW5dECgoKOH78OAD79u1jy5Yt5S7hXE+eb/I8GncNOv2FHB+KTiElJaVUqvydZ63LOiVJ4hRFwVHvAEBq5nHCvF04m5XDufQsW9K80/HWJHmHjhzl0UfdSUvLQa1W8+CDDzJt2jTefPNNW6mAiyOafvzxR9vrr+ffzezZjwOwZcsWatSoAcD9fe9n+anljFg3gvGbrf46+cX5tK/RnjaBbTiReYKFhxYy5t0x9OrVi6CgoCq6ahB/OAMXTz0RzXylsiKRXCekwiK546ho2v7+/fuzd+9e/Bo1AsDV0QOVokZ9hWWENvV7oWDfJ6fQSLHZgqMGnrq/PQaDgRUrVtC5c2eaNWvGoEGDqF+/PlqtlsjISEaOHFmlYbh5eXls3bq1VHtMTAxnzpxh4sSJNG7cmG0fbMOrthdGS7HVugIYU4xMmzbNpkCULKN0/9He+VYIQYGhEGdnZ9Lzsri3bgRRbe5CCFHKd8jLy42Mc2YCAjzp1q0bH330EY888giZmZmYTCZyc3Px8PAAIDQ01C7E2tNTS+/ezRBCENY0jILiArROWiadncT4zeNJK0yjs0dnnFyccC705uCeWPbsOk5Lx7YomQqp+1IZPHhwlV3b3IwiNHo1rl4OVTamRCIpjVRYJHccJenm4w6ml8rOCrBs2TKEEAwZMoTIyEhSD1mdP7MLsrAIM9pAHfpga6RHoGc4Hw9dy93h7Yis25qZo+eTaToDCmjUWnx9fPnf//6HEIIRI0bg5O7N96t2AjB48GDat2/PCy+8wJIlS1i8eDF79uzhm2++YdasWXzzzTdVIm9eXh4LFy7knnvuKbVv6dKl9O7dm88//5yYmBjiz8TjHdEAc6HJ1kcYBDEx1qieevXq2Swgo+9ywNnZudSYjo6OTH9pKDGp5/g50apouDtfSL/foEED7rtPYdasNNaujWbUqFG4uroSEBCAoig4ODgwb948pk2zpvo/e/YsJtOF+SQZTHx/eh8P//4wPX/qSVZmFhqdhgl3T+CfR/9hce/FHPnvCC41PDBrjLRoVY9O7Vqhs+gxrACtm9Yupf+1IIQg+VQ2gbWkQ61Ect2p6pjq6kDmYZFcDXEH04UQF/Kz7N27VwDigw8+EHv37hWnT58WQgjx3MjRomnfR8XurDwRlx0n6r5XVyg6a26Sx+55RTzefrhQKWrx8v0zxMcvrhUfD10rXnv4E6FSqUVYWJiIiooS33//vXBychKPP/64mDhxonBzc7PNIzg4WHz88cd2c3v77bdFvXr1qkTO9evXl5vvJCQkRHTt2lX4+PiIkJAQ0bBBQ+HfoLMY3ud94ePiZ+unaBTRrds9tpwszQOcxPROTmWO+eyzz4pjS74XrcKDRbuWLUX0tn9F+7ZtBSA6d+4sAgIChFaLcHBQRL16tWzz7N27t3B1dRV33323CAgIEDqdTgDC09PTLq9KxIN+wuceT/H65tfFpI8nCZVKJRwdHcVrr70mjhw5Ip5+/WmhqBQx8P1Bwmg22sY3m83Cv4a/6Nn3QWE2W676eprNFpGbUSgST2SKI9vOiqJ845UPkkgkZSLzsEgkFeG8R21Z9YYiIyN54403AFAyz+GZmU4Ld2ectc7ofHWEjQoDYNl/n7Pp6K+MG/oOE2YN4eVPOzPovfaE1Paj/yMDycvL49tvv+Xtt99mzpw5REZGsnPnTtq2bWubRonD6cWo1epSWWmvlhKLUlkh3fHx8axdu5bWLdrSOrIdsXFx5Cft50itBnwRtYQPev8fCgrCJFiz5l+EFlCg6cMujG7tarNKlTBkyBC+/fZbsAj6db6X7r17s2zFKhISrb4rz/V/iuU//8TqNZN45VUfEhISbce2a9eOwsJCQkNDSU5OxnjemTczMxOAqVPfJDHrGFkZRpxy1UxrP42df+zk/vvvZ/ny5axYtYLGTRvz2+e/03/y08wf/TVa1QV/kjVr1pCSmMIHb88gNjqtUtfwXGIecfutkT8JRzIwFJjwCXahfptA9E7SZ0UiuRHIKCHJHU/JDb08Fi5caHvtYHaglbkVm502AzD1f1O5v8f9eHl5ERLqxcSJE0lMTOTNN9/k3LcH+ar/VzzzzDP06dOHDh06MHHiRNavX8/ff/9tG7NPnz5MmzaN0NBQGjVqxN69e/nggw8YNGhQpWUpyrNW9tXo1PhHuKHVXcid0qlTJ9atW0eXLl1KHeft58m3333DgAEDiIuL45/ZvViz9QwdflHxjYs3b66ZQXxOGr4+Hui763HyDWb/zmBEv5cBmPjii0z//HPGjh0LWHOwFAWFg6LQMCQIjc66hObh40vkPR0wm9vw779fk59fRGFhoS2U+bPPPmPp0qVoNBrMZjPTpk0jm2O89/Z37O9xgPt+70eNwcE8FtKM06dPs2bNGuYvns82zXZqDWpGXU0k93foxKAmA0vJ2KNHD9vnnJ9lIP5wBiENy66IXZRXTNqZXCwW61KhV6Az4U19Kv15SCSSqkMqLJI7kmKDGa2+8gbGXbt2sfD5hbb3k8ZPYtL4SURFRbFw4UKSkpLYt2+f1coAtG/fnr///ptRo0Yxd+5cXFxcGDt2LD179rSN8dFHH/F///d/vPzyy6SmphIUFMTQoUNtFp6KcC4xj5xzRTg4awlr7I2p2EJKbA4mozU6R6VSsJgF4d5NyM82lFvp92LlrFu7UOI8Csj52Ui7Bl0p8tHi7uJC2rkMfONy8W/RFLBagZw3HSLz9z/xqFsXAGE2ozkbx3ePvEi+gyPJhdaIoheijzPaaTsABoYDr1Nv8go8nIvJOriVs6npaN28qPvMaxQmx/HG29PQ+7rjVMsJNVDLUctzjaLoXmcgU9+ahrOnM78krkKTrqHnve15ptHTuOpcr3i9nD30FBvNxO5LQ6VWcbGPtLAIHJy1BNXzQK2WRmiJ5GZBEZd7tLxFyMnJwd3dnezsbNzc3K58gOSOJyu1AEUBd1+nK3e+hJisGH4+/jM9w3vS3K+53b59+/axbJk1X0nXrl3p0KGD3f6ZM2fSrl27Uu3XQtqZXFDAN+TKN+qrQQjB4XOH2Ri/ieSsVJoENaJvnYdsyy2KovBF337UTdfhHexG8CNdSExP4ZftW/jk8eGIhNMos94k7cRxOgwbQUjzluhdXTmzZzVrZ32Jc4MOjJs6kPeHjiSyy71s/WM5kd260KhjBzYs/pHY6P2EjQljx9RdeDt6sj1pO7/v/4uPnp5LcMsIRr37SoUVFYlEcnNRmfu3tLBI7khUaoXiqyy9XMujFuNbl67Lk52dbVNWnnjiCerVq4cQAkVREEJgsVgoLi5Gq606n4eslAJMRjOBtT2qbMxLURSFRj6NaOTTqNw+vs/1p4WLC4lL/uLg3KUkuDvj7Gqh0dbVbJj2pq3f5k/mAhAVFYWf0Yja2R2dOYs3Hn2WuS+M5InOPXjz5RGMGjWK7ydPxcXFBWcPN1ybuLIqdhXLt64jpyAfQ0IuhZkFfP/BAu6qQPVtiURy6yMVFskdiZu3I3EH0vEOcqmyMUsSqAH4+/vzzjvvoNFo6Nu3L+vWrSM9PR0Avb7qit9lpRYQ3uTG+1bk5eVx8uRJ2/u4uDhOde6M15Qx1NY7MPixRzl85ByfPPUEj67azkNJJ1jw8gsMGzaMQYMGsW7dOoYPH47fM2/RtGtX4IIvz2effc6sL78lLe4Yr778Ek26tiOPBH5ZtZLaTYOY2HwETXyaoMy6PnWeJBLJzYlcEpLcscTtTyeglnuVZiZdsWIF27dvx8vLyy7ZGYCzszPdu3enQYMGVaK05GYUkZGUT1ij619z6FI2bNhA586dS7WX+PIMGDCADVv/w3vaIhJ9NAwxZtBVr2LUqFEcPnyYgBo1aDxoGOnGJhQVmmgZ5E52Tg6JuxdzYPNqinIzcXDz5vmBz7K3+T5cMlyoVzucD+5/F5Ui/UokktuFyty/pcIiuWMRQnDmUAZaBzWBtdyrpBCexWLhrbfeAsDT05MhQ4bY9jk4OJQKX74akk9lU5hrxMlNj3/Ezfv3PnX/Cf45mEmml4nPI3y5t561YvOpAgODVxxEa1FwFgLHlCJ8XPVo1SpOHD2HZ5AzfduFsfDvY+TkGnF0iiHX73eWP/8rLrqqs4hJJJLqR/qwSCQVQFEUwhp7U5hr5MTOFCKa+9qFAV8NcXFxttdRUVE4OVXeqfdy5Gdbo20imvlW6bjXg8F1w/jnYCZzWzXiXh9rJtjsYhPDNx7DyUnLom4N8dCW/xN0T20f3ll6ACfnAF7pOQgXXcVKKkgkktsTqbBI7ngcXXXUbuVPzJ5Ugup44Ox+9cs1ERERDB8+HC+vsvN7XAsZSflkpxUS3uTGLwFdDY5qFQIovsiI++aheLIyi/i2b7PLKisAvq565g5qdZ1nKZFIbhWkwiKRYM1TUqeVP0kns0iJzcE31BVnd501R0clUBSlSpWVorxikk9lg2J1FI64hZKXOapU6FQKP59JJ6vYzJr4DE6eyKRBbQ9qOlWd47FEIrkzkAqLRHIRgbU9EEJwLjGfrJQCa6ZTi0CrUxNQ2/2GJRITQhB/JAONVkVYE+8q8a+50TiqVQzqEM7X62M5eiwDB72aBvW9+CAyorqnJpFIbkGk061EUgGKDWbOnsjCYrYQWNujSiOLLsVYZOL0gXOENPDCweXWr1OTZzKjV6nQqm49pUsikVxfpNOtRFLFaPVqwhp7IyyC5FPZFBWYcHDWEljL/ZrGFUKQcTaf3IwiFJUCAiwWQe2Wftb3twEummtzZJZIJBKQCotEUikUlWLLKpufbeDErhRqRvqiVqswFJpIPJaJSqWg1qoIrud5WaWjMNdI/NEMAmt5VEvyN4lEIrmVkAqLRHKVOLvrqdnMl/jDGSgqBa1ORUQzHxRFwVBoIv5oBqENy47oKSlWWPeugBs8a4lEIrk1kQqLRHINqLWqMq0jekcNiqJQmGfE0eVCZeSCHCNJJ7PwCnK+pSJ+JBKJpLqRCotEcp0Iru9JUkw2qYZcFEBg9YWpGel7S0b9SCQSSXVyTTGaM2bMQFEURo4caWvr1KkTiqLYbS+++OJlxxkwYECpY+67775rmZpEUu0oikJQbQ/CGnkT2sibsEbeBNX2kMqKRCKRXAVXbWHZuXMnX3zxBU2bNi21b8iQIbZ6KkCF0pPfd999LFiwwPa+KivaSiQSiUQiubW5KoUlLy+Pp59+mq+++op33nmn1H4nJycCAirnTKjX6yt9jEQikUgkkjuDq1oSGjZsGL1796Zbt25l7v/+++/x8fGhcePGTJw4kYKCgiuOuWHDBvz8/KhXrx4vvfQS586dK7evwWAgJyfHbpNIJBKJRHL7UmkLy5IlS9izZw87d+4sc3///v0JCwsjKCiI/fv3M378eI4dO8avv/5a7pj33XcfjzzyCBEREcTExPD666/Tq1cvtm3bhlpdOunU9OnTmTp1amWnLpFIJBKJ5BalUqn54+PjadWqFatXr7b5rnTq1InmzZszZ86cMo9Zt24dXbt25eTJk9SqVatC5zl16hS1atVizZo1dO3atdR+g8GAwWCwvc/JySEkJESm5pdIJBKJ5BaiMqn5K7UktHv3blJTU2nRogUajQaNRsPGjRv58MMP0Wg0mM3mUsfcfffdAJw8ebLC56lZsyY+Pj7lHqPX63Fzc7PbJBKJRCKR3L5Uakmoa9euHDhwwK5t4MCB1K9fn/Hjx5e5fBMdHQ1AYGBghc+TkJDAuXPnKnWMRCKRSCSS25dKKSyurq40btzYrs3Z2Rlvb28aN25MTEwMixcv5v7778fb25v9+/czatQo7r33Xrvw5/r16zN9+nQefvhh8vLymDp1Ko8++igBAQHExMQwbtw4ateuTc+ePatGSolEIpFIJLc0VZrpVqfTsWbNGubMmUN+fj4hISE8+uijTJ482a7fsWPHyM7OBkCtVrN//36++eYbsrKyCAoKokePHrz99tsyF4tEIpFIJBKgkk63NyuVcdqRSCQSiURyc3DdnG4lEolEIpFIqgOpsEgkEolEIrnpkQqLRCKRSCSSmx6psEgkEolEIrnpqdIooeqixG9Y1hSSSCQSieTWoeS+XZH4n9tCYcnNzQUgJCSkmmcikUgkEomksuTm5uLu7n7ZPrdFWLPFYuHs2bO4urqiKEqFjyupQRQfH3/bhkNLGW8PpIy3B7e7jLe7fCBlrGqEEOTm5hIUFIRKdXkvldvCwqJSqQgODr7q4++EekRSxtsDKePtwe0u4+0uH0gZq5IrWVZKkE63EolEIpFIbnqkwiKRSCQSieSm545WWPR6PVOmTLmtaxZJGW8PpIy3B7e7jLe7fCBlrE5uC6dbiUQikUgktzd3tIVFIpFIJBLJrYFUWCQSiUQikdz0SIVFIpFIJBLJTY9UWCQSiUQikdz03DEKy7Rp02jXrh1OTk54eHiU2r9v3z6eeuopQkJCcHR0pEGDBsydO9euz4YNG1AUpdSWnJx8g6S4PFUh48X8+++/aDQamjdvfv0mXUmqQsYtW7Zwzz334O3tjaOjI/Xr12f27Nk3SILLUxXy/frrr3Tv3h1fX1/c3Nxo27Ytq1atukESXJmqkDEpKYn+/ftTt25dVCoVI0eOvDGTryBV9V3csGEDLVq0QK/XU7t2bRYuXHj9J19BriQjwPDhw2nZsiV6vb7c35GffvqJ5s2b4+TkRFhYGO+99971m3QlqSoZV61aRZs2bXB1dcXX15dHH32UuLi46zbvylAVMr755ptl3hudnZ2rdK53jMJiNBp57LHHeOmll8rcv3v3bvz8/Fi0aBGHDh1i0qRJTJw4kY8//rhU32PHjpGUlGTb/Pz8rvf0K0RVypiVlcVzzz1H165dr/e0K0VVyOjs7Mwrr7zCpk2bOHLkCJMnT2by5Ml8+eWXN0qMcqkK+TZt2kT37t1Zvnw5u3fvpnPnzvTp04e9e/feKDEuS1XIaDAY8PX1ZfLkyTRr1uxGTb3CVIWMsbGx9O7dm86dOxMdHc3IkSMZPHjwTaN8XknGEgYNGsQTTzxR5r4VK1bw9NNP8+KLL3Lw4EE+/fRTZs+eXeZvUnVQFTLGxsby0EMP0aVLF6Kjo1m1ahXp6ek88sgj12PKlaYqZBw7dqzdPTEpKYmGDRvy2GOPVe1kxR3GggULhLu7e4X6vvzyy6Jz58629+vXrxeAyMzMvD6TqyKuRcYSnnjiCTF58mQxZcoU0axZs6qdYBVQFTJezMMPPyyeeeaZKphZ1VDV8jVs2FBMnTq1CmZWdVSVjB07dhQjRoyouolVIdci47hx40SjRo3s+jzxxBOiZ8+eVTnFa6YiMpb3O/LUU0+Jfv362bV9+OGHIjg4WFgsliqc5bVxLTIuXbpUaDQaYTabbW1//PGHUBRFGI3GKp7p1XMtMl5KdHS0AMSmTZuqZnLnuWMsLFdDdnY2Xl5epdqbN29OYGAg3bt3599//62GmVUdZcm4YMECTp06xZQpU6ppVlVLeZ9jCXv37mXr1q107NjxBs6q6riSfBaLhdzc3Mv2udm5koy3A5fKuG3bNrp162bXp2fPnmzbtu1GT+26YTAYcHBwsGtzdHQkISGB06dPV9OsqpaWLVuiUqlYsGABZrOZ7OxsvvvuO7p164ZWq63u6V0X5s2bR926denQoUOVjisVlnLYunUrP/74Iy+88IKtLTAwkM8//5xffvmFX375hZCQEDp16sSePXuqcaZXT1kynjhxggkTJrBo0SI0mlu/NmZZMpYQHByMXq+nVatWDBs2jMGDB1fDDK+Ny8lXwqxZs8jLy+Pxxx+/gTOrOioi461OWTImJyfj7+9v18/f35+cnBwKCwtv9BSvCz179uTXX39l7dq1WCwWjh8/zvvvvw9Y/ZRuByIiIvjnn394/fXX0ev1eHh4kJCQwE8//VTdU7suFBUV8f333/P8889X+di3tMIyYcKEMh19Lt6OHj1a6XEPHjzIQw89xJQpU+jRo4etvV69egwdOpSWLVvSrl075s+fT7t27a6rw+aNlNFsNtO/f3+mTp1K3bp1q1qUcrnRn2MJmzdvZteuXXz++efMmTOHH374oSrEKUV1yQewePFipk6dyk8//XRdfa2qU8YbhZTx6mUsjyFDhvDKK6/wwAMPoNPpaNOmDU8++SQAKtX1uT3daBmTk5MZMmQIUVFR7Ny5k40bN6LT6ejXrx/iOiWav9EyXsyyZcvIzc0lKiqqyse+pR+hx4wZw4ABAy7bp2bNmpUa8/Dhw3Tt2pUXXniByZMnX7F/69at2bJlS6XOURlupIy5ubns2rWLvXv38sorrwDW5QQhBBqNhn/++YcuXbpUWoYrUV2fY0REBABNmjQhJSWFN998k6eeeqpS56kI1SXfkiVLGDx4MEuXLi21tFDV3AzfxevNjZYxICCAlJQUu7aUlBTc3NxwdHSs1HkqyvWQ8XIoisLMmTP53//+R3JyMr6+vqxdu7bKz3MxN1rGTz75BHd3d959911b26JFiwgJCWH79u20adOmys5Vwo2W8WLmzZvHAw88UMo6WBXc0gqLr68vvr6+VTbeoUOH6NKlC1FRUUybNq1Cx0RHRxMYGFhlc7iUGymjm5sbBw4csGv79NNPWbduHT///LPtBl/V3Ayfo8ViwWAwVNkcLqY65Pvhhx8YNGgQS5YsoXfv3lV27vK4GT7D682NlrFt27YsX77crm316tW0bdu2yuZwKVUtY0VRq9XUqFEDsP7ttm3b9rrN40bLWFBQUMpapFarAevvzvWguj7H2NhY1q9fzx9//HFdxr+lFZbKcObMGTIyMjhz5gxms5no6GgAateujYuLCwcPHqRLly707NmT0aNH23KrqNVq2wc/Z84cIiIiaNSoEUVFRcybN49169bxzz//VJdYdlyrjCqVisaNG9uN6efnh4ODQ6n26qIqPsdPPvmE0NBQ6tevD1jDgGfNmsXw4cOrRaaLqQr5Fi9eTFRUFHPnzuXuu++29XF0dMTd3b1a5LqYqpARsB2Xl5dHWloa0dHR6HQ6GjZseKNFKkVVyPjiiy/y8ccfM27cOAYNGsS6dev46aef+Pvvv6tLLDuuJCPAyZMnycvLIzk5mcLCQlufhg0botPpSE9P5+eff6ZTp04UFRWxYMECli5dysaNG6tJKnuqQsbevXsze/Zs3nrrLZ566ilyc3N5/fXXCQsLIzIyspoku0BVyFjC/PnzCQwMpFevXtdnslUac3QTExUVJYBS2/r164UQ1nCtsvaHhYXZxpg5c6aoVauWcHBwEF5eXqJTp05i3bp11SNQGVSFjJdys4U1V4WMH374oWjUqJFwcnISbm5uIjIyUnz66ad2YYfVRVXI17FjxzL7REVFVYtMl1JVf6eV/Vu+kVSVjOvXrxfNmzcXOp1O1KxZUyxYsOCGy1IeV5JRiPL/FmNjY4UQQqSlpYk2bdoIZ2dn4eTkJLp27Sr++++/6hGoDKpCRiGE+OGHH0RkZKRwdnYWvr6+4sEHHxRHjhy58QKVQVXJaDabRXBwsHj99dev21wVIa6T149EIpFIJBJJFXFLRwlJJBKJRCK5M5AKi0QikUgkkpseqbBIJBKJRCK56ZEKi0QikUgkkpseqbBIJBKJRCK56ZEKi0QikUgkkpseqbBIJBKJRCK56ZEKi0QikUgkkpseqbBIJBKJRCK56ZEKi0QikUgkkpseqbBIJBKJRCK56ZEKi0QikUgkkpue/wcJN6jICWFiiAAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "underused units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"overused units\")\n",
    "maxPlot = 1.06\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] > maxPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()\n",
    "print(\"underused units\")\n",
    "minPlot = 0.94\n",
    "for u in range(nUnits):\n",
    "    if unitUse[u] < minPlot:\n",
    "        plotPoly(unitGeom[u])\n",
    "        plotCenter(round(unitUse[u],2),unitGeom[u])\n",
    "plotPoly(MAP,0.2)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fa912158-e8e9-46f3-8c3d-f6b17c26e62c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#Note - for WA, above is first run-through after overuse, then underuse pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "0d4f1372-6044-4803-91d9-de4b95a40083",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "unpatched, patched use avgs are 1.00034 1.00014 and their SDs are 0.18274 0.08999\n",
      "And here is the pop distro\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking contiguity of final HDs\n",
      "working on HD 300 out of 7434\n",
      "working on HD 600 out of 7434\n",
      "working on HD 900 out of 7434\n",
      "working on HD 1200 out of 7434\n",
      "working on HD 1500 out of 7434\n",
      "working on HD 1800 out of 7434\n",
      "working on HD 2400 out of 7434\n",
      "working on HD 2700 out of 7434\n",
      "working on HD 3000 out of 7434\n",
      "working on HD 3300 out of 7434\n",
      "working on HD 3600 out of 7434\n",
      "working on HD 3900 out of 7434\n",
      "working on HD 4200 out of 7434\n",
      "working on HD 4500 out of 7434\n",
      "working on HD 4800 out of 7434\n",
      "working on HD 5100 out of 7434\n",
      "working on HD 5400 out of 7434\n",
      "working on HD 5700 out of 7434\n",
      "working on HD 6000 out of 7434\n",
      "working on HD 6300 out of 7434\n",
      "working on HD 6600 out of 7434\n",
      "working on HD 6900 out of 7434\n",
      "working on HD 7200 out of 7434\n",
      "all done checking HD and complement contiguity for all 7434 HDs\n"
     ]
    }
   ],
   "source": [
    "patchedUse, unpUse = [0.]*nUnits, [0.]*nUnits\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        patchedUse[u] += HDweight[t] * nDistricts\n",
    "    for u in unpatchedHDlist[t]:\n",
    "        unpUse[u] += HDweight[t] * nDistricts\n",
    "plt.hist(patchedUse,bins=50, label=\"patched\",histtype=\"step\")\n",
    "plt.hist(unpUse, bins=50, label=\"unpatched\",histtype=\"step\")\n",
    "plt.legend()\n",
    "plt.show()\n",
    "patchedAvg, patchedSD = getWeightedAvgAndSD(patchedUse,unitPop)\n",
    "unpatchedAvg, unpatchedSD = getWeightedAvgAndSD(unpUse,unitPop)\n",
    "print(\"unpatched, patched use avgs are\",r5(unpatchedAvg), r5(patchedAvg),\"and their SDs are\",r5(unpatchedSD), r5(patchedSD) )\n",
    "print(\"And here is the pop distro\")\n",
    "plt.hist([HDvPop[t] for t in popHDlist])\n",
    "plt.axvline(aDP, ls=\"--\",color=\"orange\")\n",
    "plt.show()\n",
    "print(\"checking contiguity of final HDs\")\n",
    "for t in popHDlist:\n",
    "    if t%300 == 0:\n",
    "        print(\"working on HD\",t,\"out of\",nHDs)\n",
    "    unbroken, noEnclave, sList, eList = enclaveCheck(HDunitList[t], unitNbrs)  #these HDunitLists now appear to be sets\n",
    "    if not unbroken or not noEnclave:\n",
    "        print(\"uh-oh, HD\",t,\"has contiguity, complement-contiguity of\",unbroken, noEnclave)\n",
    "print(\"all done checking HD and complement contiguity for all\",nHDs,\"HDs\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7fc1d66e-d8fe-4e00-b730-ef29e6014d27",
   "metadata": {},
   "outputs": [],
   "source": [
    "#NOTE FOR WA - OVERPATCH RUN FIRST.  ABOVE STATS AFTER FIRST OVERPATCH\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "ac9cd133-94f0-494b-ac74-0c584482d97e",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Lets write these UNIT lists to a file\n"
     ]
    }
   ],
   "source": [
    "print(\"Lets write these UNIT lists to a file\")\n",
    "HDvPop = [0. for t in range(nHDs)]  #writing UNIT lists to a file\n",
    "tList = [t for t in range(nHDs)]\n",
    "for t in popHDlist:\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDunitList\":HDunitList,\n",
    "                      \"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"overOnlyPatched.csv\" #\"contigUnpatchedB.csv\"  #fullyPatched #overOnlypatched\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 213,
   "id": "26b87c95-101f-4f8f-bb73-feb1827ac6b5",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    }
   ],
   "source": [
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))\n",
    "if noFrag == 1:\n",
    "    nFragmentedVTDs,fragmentedVTDs = 0, list()\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "ec102553-e4f3-4010-86bc-725a01b95788",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter([v for v in range(len(parentVTDno))],parentVTDno)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "55d64c64-b473-49d0-b863-d4123cbb9b6c",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "confirming vtd 0 is not in the map but missing from the parent vtd list\n",
      "confirming vtd 2000 is not in the map but missing from the parent vtd list\n",
      "confirming vtd 4000 is not in the map but missing from the parent vtd list\n",
      "confirming vtd 6000 is not in the map but missing from the parent vtd list\n"
     ]
    }
   ],
   "source": [
    "for v in range(nVTDs):\n",
    "    if v %2000 == 0:\n",
    "        print(\"confirming vtd\",v,\"is not in the map but missing from the parent vtd list\")\n",
    "    if MAP.contains(vtdGeom[v].centroid) and v not in parentVTDno:\n",
    "        print(\"Uhoh,\",v,\"is in the map but not in the parent vtd list\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "ecd50c96-51ce-4d83-b0df-e8c645c35815",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "after above patching, write these contiguous lists to a file, converting to vtd lists\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter 1 if there were NO fragmented VTDs 0\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "working on full or partial VTD master list for unit 0\n",
      "working on full or partial VTD master list for unit 2000\n",
      "working on full or partial VTD master list for unit 4000\n",
      "working on full or partial VTD master list for unit 6000\n",
      "Now converting unit lists to vtd lists for all HDs\n"
     ]
    }
   ],
   "source": [
    "#THIS WORKS FOR BOTH VTD- AND UNIT-BASED (FRAG VTD) -- **NOTE: DOES NOT ADD IN CUT DISTRICTS AND REBALANCE WEIGHTS\n",
    "print(\"after above patching, write these contiguous lists to a file, converting to vtd lists\")\n",
    "noFrag = int(input(\"enter 1 if there were NO fragmented VTDs\"))  #for simple states where units are at least whole vtd's\n",
    "tList = [t for t in range(nHDs)]\n",
    "vtdList = [list() for t in range(nHDs)]\n",
    "unitVTDlist, unitFragVTDlist, unitVTDfrac = [list() for u in range(nUnits)], [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "unitFullVTDlist, unitPartialVTDlist =       [list() for u in range(nUnits)], [list() for u in range(nUnits)]\n",
    "\n",
    "for u in range(nUnits):\n",
    "    if u %2000 == 0:\n",
    "        print(\"working on full or partial VTD master list for unit\",u)\n",
    "    if allUnits[u] % 1 == 0.5 :\n",
    "        c = int(allUnits[u])\n",
    "        unitVTDlist[u] = countyTractList[c].copy()\n",
    "        unitFullVTDlist[u] = countyTractList[c].copy()\n",
    "    if allUnits[u] % 1 == 0.25 :\n",
    "        CCBnumber = int(allUnits[u])\n",
    "        for c in CCBlist[CCBnumber] :\n",
    "            unitVTDlist[u] += countyTractList[c]\n",
    "            unitFullVTDlist[u] += countyTractList[c]\n",
    "    if allUnits[u] % 1 == 0:\n",
    "        if noFrag == 1:\n",
    "            unitVTDlist[u].append(allUnits[u] )\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitVTDlist[u].append(surroundedVTDs[i])\n",
    "        else:\n",
    "            unitFragVTDlist[u].append(allUnits[u])\n",
    "            for i,vv in enumerate(surrounders):\n",
    "                if allUnits[u] == vv:\n",
    "                    unitFragVTDlist[u].append(surroundedVTDs[i])\n",
    "            vtdFrac = [0. for V in range(nVTDs)]\n",
    "            for vv in unitFragVTDlist[u]:\n",
    "                V = parentVTDno[vv]\n",
    "                if len(VTDchildren[V]) == 1:  #nonfragmented vtd\n",
    "                    vtdFrac[V] = 1.\n",
    "                else:\n",
    "                    if tractPop[V] > 0:\n",
    "                        vtdFrac[V] += fragVTDgeom[vv].area / vtdGeom[V].area #fragVTDpop[uu] / tractPop[v]  #we overwrote the frag pops earlier; can't use\n",
    "            for v in range(nVTDs):\n",
    "                if vtdFrac[v] > 0.0001:\n",
    "                    if vtdFrac[v] > 0.999:\n",
    "                        unitFullVTDlist[u].append(v)\n",
    "                    else:\n",
    "                        unitPartialVTDlist[u].append(v)\n",
    "                        unitVTDfrac[u].append(vtdFrac[v] )\n",
    "                                    \n",
    "HDpartialVTDlist, HDfullVTDlist, HDvtdFrac = [list() for t in range(nHDs)] ,[list() for t in range(nHDs)],[list() for t in range(nHDs)]               \n",
    "print(\"Now converting unit lists to vtd lists for all HDs\")\n",
    "if noFrag == 1:\n",
    "    for t in popHDlist:\n",
    "        for u in HDunitList[t]:\n",
    "            vtdList[t] += unitVTDlist[u]\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":vtdList,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "else:\n",
    "    for t in popHDlist:\n",
    "        partialList, partialFrac = list(), list()  #for many HDs, we'll recover whole VTDs when aggregating units\n",
    "        for u in HDunitList[t]:\n",
    "            HDfullVTDlist[t] +=   unitFullVTDlist[u] \n",
    "            partialList +=         unitPartialVTDlist[u]\n",
    "            partialFrac +=          unitVTDfrac[u]\n",
    "        partialSet = set(partialList)  #non-duplicated set of partials across the HD, prepping to aggregate where possible\n",
    "        partialSetFrac, partialSetList = [0. for v in partialSet], list(partialSet)\n",
    "        for i,v in enumerate(partialList):\n",
    "            partialSetFrac[partialSetList.index(v)] += partialFrac[i]\n",
    "        for i,v in enumerate(partialSetList):\n",
    "            if partialSetFrac[i] > 0.999:  #the district has all the fragments of the original VTD contained in the HD's units\n",
    "                HDfullVTDlist[t].append(v)\n",
    "            else:\n",
    "                HDpartialVTDlist[t].append(v)\n",
    "                HDvtdFrac[t].append(      r5(partialSetFrac[i]) )  #save the aggregated fraction of this VTD across all units\n",
    "    outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                           \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patchedVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "5075814f-4a75-4807-ad8d-b3cc969cb470",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7434 7434 7434 7434 7434 7434\n"
     ]
    }
   ],
   "source": [
    "HDweight = HDweight[0:nHDs]\n",
    "HDvPop = HDvPop[0:nHDs]\n",
    "HDweight = HDweight[0:nHDs]\n",
    "HDfullVTDlist = HDfullVTDlist[0:nHDs]\n",
    "HDpartialVTDlist = HDpartialVTDlist[0:nHDs]\n",
    "HDvtdFrac = HDvtdFrac[0:nHDs]\n",
    "hdCPx, hdCPy = hdCPx[0:nHDs], hdCPy[0:nHDs]\n",
    "print(nHDs,len(tList), len(HDweight), len(HDvPop), len(HDvtdFrac), len(hdCPx) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "e385f357-5b7e-46f5-b054-c5c38d799395",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0 7434\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight), nHDs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "f5a9e618-3a09-42fd-93eb-3b91a88bba4c",
   "metadata": {},
   "outputs": [],
   "source": [
    "if STATE == \"WA\":\n",
    "    allCutLists = []"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "8d922813-2854-41d7-9405-22db5d5d5a59",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now append the cut districts and adjust the HDweights\n",
      "10 0 are the number of HD-drawn and cut districts\n"
     ]
    }
   ],
   "source": [
    "print(\"Now append the cut districts and adjust the HDweights\")\n",
    "print(nDistricts,nCutDistricts,\"are the number of HD-drawn and cut districts\")\n",
    "HDweight = [nDistricts/float(nCutDistricts + nDistricts) * HDweight[t] for t in range(nHDs)]\n",
    "tList = [t for t in range(nHDs)]\n",
    "if type(hdCPx) != type(list()):\n",
    "    hdCPx, hdCPy = hdCPx.to_list(), hdCPy.to_list()\n",
    "for L in allCutLists:\n",
    "    tList.append(len(tList))\n",
    "    HDweight.append(1./(nCutDistricts + nDistricts))\n",
    "    pop = np.sum([tractPop[v] for v in L])\n",
    "    HDvPop.append(pop )\n",
    "    HDfullVTDlist.append(L)\n",
    "    HDpartialVTDlist.append(list() )\n",
    "    HDvtdFrac.append(list() )\n",
    "    hdCPx.append(np.sum([tractPop[v]*tractCPx[v] for v in L]) / pop )\n",
    "    hdCPy.append(np.sum([tractPop[v]*tractCPy[v] for v in L]) / pop )\n",
    "    \n",
    "\n",
    "outDF = pd.DataFrame( {\"tract\":tList,\"HDweight\":HDweight,\"HDvPop\":HDvPop,\"HDvtdList\":HDfullVTDlist,\"partials\":HDpartialVTDlist,\n",
    "                        \"HDvtdFrac\":HDvtdFrac,\"centroid x\":hdCPx, \"centroid y\":hdCPy} )\n",
    "outname = STATE+str(int(nHDs))+\"patched0p07352WithCutsVTDs.csv\"   #patchDown, PatchUp, PatchBoth\n",
    "outpath = \"2024state_HD_output/\"+outname\n",
    "outDF.to_csv(outpath)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "b0b611f7-6c35-495d-b38c-c848317d63ab",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n"
     ]
    }
   ],
   "source": [
    "print(np.sum(HDweight))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "b9d808de-119f-4197-8e0c-8407c105d789",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "checking that VTDs are represented 1.0 across all units\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"checking that VTDs are represented 1.0 across all units\")\n",
    "vtdUSE = [0. for v in range(nVTDs)]\n",
    "for u in range(nUnits):\n",
    "    for v in unitFullVTDlist[u]:\n",
    "        vtdUSE[v] += 1\n",
    "    for i,v in enumerate(unitPartialVTDlist[u]):\n",
    "        vtdUSE[v] += unitVTDfrac[u][i]\n",
    "plotVTDs, plotUses = list(), list()\n",
    "for v in range(nVTDs):\n",
    "    if tractPop[v] > 0  and v not in allCutVTDs:\n",
    "        plotVTDs.append(v)\n",
    "        plotUses.append(vtdUSE[v])\n",
    "plt.scatter(plotVTDs, plotUses)\n",
    "plt.show()\n",
    "for i,v in enumerate(plotVTDs):\n",
    "    if plotUses[i] > 0.1 and plotUses[i] < 0.9 :\n",
    "        print(v,tractPop[v], plotUses[i],\"vtd no, its pop, and usage across all units\")\n",
    "        plotPoly(tractGeom[v])\n",
    "unused = list()\n",
    "for v in range(nVTDs):\n",
    "    if vtdUSE[v] < 0.2 and MAP.contains(vtdGeom[v].centroid) and tractPop[v] > 0:\n",
    "        unused.append(v)\n",
    "        #print(v,\"in county\",countyNo[v],\"has pop\",tractPop[v],\"and map-total usage of\",vtdUSE[v],\"its surroundedness is\",v in surroundedVTDs)\n",
    "        plotPoly(vtdGeom[v].centroid.buffer(0.1))\n",
    "        plotCenter(v,vtdGeom[v],8)\n",
    "    #if vtdUSE[v] > 0.2 and vtdUSE[v] < 0.95:\n",
    "    #    plotCenter(r3(vtdUSE[v]),vtdGeom[v])\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "3d2a393c-5ab8-4140-80eb-1153c2ef41f9",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for u in range(nUnits):\n",
    "    if unitUse[u]  < 0.9:\n",
    "        plotPoly(unitGeom[u],0.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "    if  unitUse[u]  > 1.1:\n",
    "        plotPoly(unitGeom[u],1.2)\n",
    "        plotCenter(r3(unitUse[u]),unitGeom[u],6)\n",
    "plotPoly(MAP)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "404935e6-f0de-4b51-9db9-020aa208f852",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "integrity check: vtd-based pops.  These should all be within single digits\n",
      "x = n surrounded, y= unit - vtd-based\n"
     ]
    },
    {
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MI4UCZE8C5S1xicdbYn5OGl68ZTSSYt2TDfr0CNcvCKW+ihWA0xjZ83g+ZuUOwqTz+mBW7iDseTxft1/MmPTeMHve2G1OHaBugMnMnZ6Nb564GvNmXIBb89Ixb8YF+OaJq302ZQOcYZplt43Fhz+fjGW3jTXsvCuOb2KM+y0xMcbus+DWd4tn4LNfXIbYCDtsAGIj7PjsF5d5GSEA8KNx6QZ77a1T9TwAwA2jactxhc7KNgDnsXrhltFI9XjpSo2P9uozI0rC+8IG75LwVgwkpnPj98qqoUh8bATevHcCWT8ktSe+1bm56CG+pNTOlKVLZyh3lFUZkxpPS+iSdV8dOU0a89WR05gwpA+izPzU55B1/eJjcICwUqPfuXklxESivtk8FJAQ01aoiri4wU03sDftzVXoWh0aTpxpMtSeONOEVoema1gseLcY5TW0Dqb5OWmYlp1KanR4spYYNtHRxUSGYdF1xoYSAGw7eIq0HHfbwVPIG5zkMsCMim55GmAykeF23DmJljNiBZXjKxjUJxbFOl2iPdlOXOq8/dApTBjSx/VSc4/BsfL0PIzLSoINxutUbOd0ANy24TnOzLtBPVYqJeGFJ0wYSOXVDT6bQqbqGEhM56VbGiL+RvWGVrp0BoqP1OB7z62HA0431fv3TTL0mJQunYEf/3EVPpfKsUxIBf7xc/1wkdHNwPOtZyOx4NbG/ScxYUgf7CXGamWdw0GLmQvd2Xrag5Wq88WwvrQAktCp9I3xDDlYefC1OjQUH6vGwao6pCfGYkx6b119IN4qrbjQrRhggSTMbiOHkFRQqacxYYgznyg/Jw13Tc70KodvtwEFkzK9jtW2g6dIRRiFYSi2offilEo4H5RjZeUaaY+BxHRO2BDxE6o3tOwBcTig4/3wRWFRGQ7URwNo+wIfqI9GYVGZ280jzG5DTv84w4dlTv84ty/1UeL6fKGzUMAUpxto7gqha3CYvetB0lmnqt7Yu+Gpa288W+U6UenREoi3SqvGjhUDrPOjXk+jsKgML33m3VBS05zdrEcN6u32Xbd6LfrzfLTnGrFqIDGdDzZEOiGFRWW4Z/l2rxtUeXUD7lm+3S1O29TiwEd7jEt3f7SnAk0tDtfKg37E+gJC1yPCjjNN5gWbekh1FZJ7RZJWBiT3inSNbWo1N3l6tLOwi+qNM1DxbNUGdoF4q2yPseMvz0OokpfVB899Yl52X9TTELkVesdVQ1tuxbTsVNc5TIyh9dnR0/nrfLTnGumeBmv3hFeGdjLMblCAe/LXKxtLYVZHStOcOsFFfWm1NIRu+gjaCihZd8NFyaQxQpfag/ZGKevyB9PyY2Td8P60fRe6Icm0RF2qTg8rPVoAtaRCKwRiBUVXQbWehkpuhWDvcVrXbKquI2jvNSIMpGtH9nflGTFdDzZEOhmqN6gtJbTYtKz77SffkMYI3Rtf0pptybqn1pSSxgjdnkpaiWxZV7ifFmKSdUs+oPVcEbof/x+teSNVp4eVHi2C/Jw0bHh4Kl4vyMUzN4/E6wW52PDw1A5zbfvb2OkqqNbTsBJmOXyKVqafquso+BphzODQTCdD9QZV10RLCpV1ZqtAVHWdiV1HqpV0FcRjQNXpcZDY7dWXzt9hEHah02hL1P0a5VLTvdS4KCyYeaHbA9lKyE+1Vkkg4WuEMYINkU6G6g0qqQctbizr+vSIIOVv9OlBbG7RiYgjNgURuhRirktKL9p50COUHzCC7pbzYRXqA9lKbsWsvAw8uXqPoffMbnPqggFfI4wvODTTyVAtQjQwidb8TNbNHEUreS106Qm0Kp6y7pErh5HGCN20TNp+yLqZ2bSbnqwbRDxeQrfirvEkPVWnx6y8DFLhsGA9YBg1KHkPVnIrIsPtKJhkXA6/YJJ7OfxA0urQsGl/Jd7ZeRSb9le6FTFjujdsiHQyVG9Q4wfTeqHIOtXQzOkG2gJeWbduv/FKHk9dWSPtUpV1PXvRPASyLoxYjlXoEntGIrmnsbcjuWckEk00RoT6AyZU6ewPPiu5FaIcvqdtY7f5LocfCAqLyjDxqbX44bLNuH/FTvxw2WZMfGotCoto+WVM14ZDM50QlTX2oqz26Trf4QPvstpqNQ8iiA9vWXfMpAiYp+5sI83YkXUnamjFzWRdJtEjIuu2PjoNY59YgxO13gZccs9IbH10GulvGiEeIL6KWwXrAWOVVofm13yBwqIycnXjUCY/Jw1Th/XFa5tKXUXsZuVlGBqdc6dn43+nno8H3tiBQ6fqMah3DP5w0yjDEvf+PB8q5QaY7gkbIiGC6o0gPycNE4ckm95srJTVHjkgAa/hkOmcRw5IAABcNiwZ/952zFR/2bC2Jbv94qNRcpJS4t35Njg4uQdKCCXhBye3GQh942j5NLLuR+PSsWjVHtMxnr1Dtj46DVW1Tbj5pY2oONOElF6RWHHXeFNPSFOLg/yQmTs9Gz+/YigWry5GaWUdMpJi8cj0bLc+Np2BwqIyr8qqqXHRWDCzY4yEUH/w1Te1ks+h3rFatr7E8Fh5Fr7bV34GIxZ+6NNgdW7DPIHWClbqoTDdDzZEQoDCojI88p8dqJKqjSZG27D4f0b5vBEUvLoVa4rbwhv7ys8gZ8GHul1S83PScPfkTN2CWHdP9i4V3Y/Yb0XomgnFzDx13xuehs/3Vxmo23QAkN2/Fz7ae8JUn92/rUS7ajdSANh+kNgT5OApTDjPPewVExmGcVlJrgeMmYGgUikV8H5grP8WWFN83PSBofLgA9SMI9UxhUVlukZxeU0DZi/f7rPBHHUb7X3wHa2qx9V/Woezja3oERWGD342Bf0Tfdejqa5rxh0vb8Gx6gb0i4/G326/BPEG9UI8v7frvwVe23xI93tr5VipFr7zvY1G0/NBwUqvmfbib28b0/HYNM2s3FXwqKmpQXx8PKqrqxEXR+tU29nwdSMQ6N0IPG9mnnje1FS30erQkD2/EI0tvg2MqHA7ih/PR5jdhsFzV5EazIXZgP1LnGXsz3tkFZoJ9kuEHfh28QxMWPIxjhLCOf3jo/H53MsBAFlzVoFiItkBV3n93364l1QB877LBuMXV7Ul3Po6J3oPGMD3A0PgGc+3cp1YnZdq+Ic6ptWhYcwTa0zDhF8+Os3rwUHdxqb9lfjhss0+/77g9YJcrwff+b9ejSadCzkyzIZvnpzu9fmUp9fiYKV3rZr0pBjdbt4q31srx6qpxYFh8z4wXTWzd9HViAy3k7aREBuBbTrng8o7O4/i/hU7TXXP3DwS146kJckb0VVCcl0Blec3Z7cFkVaHZvhwAYDZy7e7JdnVN7Ua3swAYE1xBeqbWi1vo6nFYWiEAEBji8NVydNKl1uKESLrquqIPWAkHXETbrqmFtrOyDqjB8ya4goUvLrVY6wDL5lUSn1JqpTa6tAwZ+VuQ/2clbu9kjFV5yWMI88HmXibXrLau9ibypjNByoNH3oAcKquGZsPuBfhU9mG1X4rvowQAGhq1XD+r1e7febLCAGAg5X1mPL0WrfPVL+3Vo6VauG7zfvNt3G6rhmbiQ379OjTk7aijqozQoTkPD0wIiTHibGhCxsiQaRwx1Fl3c9eXU8aI3T/2Wz8wBPIukdW7iSNETpirqqbjvp+JXRWEmKtsJG4mkfoVB8wgHrZfSsPDNV5WSkjrzrms29ox1bWqW6jRyQt2izrjlbV+zRCXPNo1XC0yml4VNc1+zRCBAcr61EtnbNZL3xKmpfQvfHFAZJe1u04TAsrCt3n39G6bFN1ejiIK5WoOl+otr5gQgs2RILIQ28bv+Xq6dZ8d5Y0Rugeftc88dJT987OctIYoYsl5krKuovSaL1XhC4xmrYRWTc4iZasKuuKjtWSxgjdYh0vgR6yTrXs/qYDtAeBrHti1dekMUJnpYy86pjPv6Ptt6xT3cbzn3xL2oasu/pP60hjhO6Ol7eQ9LLuyzKap0bo3t1tng/lqXt/F+17K3S7jp4m6ak6Pb4oMc8DU9H5wkpvHiZ0YEMkiDQS4xNUXUehGtKopVWRd9OdaaItxxW6amJCrKw7XU+bGFWnx4ETNMNF1tUR971Np+o/Ui9Vb6WMfHtLz3fkWKErIy7ZlnW1xDo4Qqe69DxUiY6gGfdUnT5qpQCsYjUkx4QGbIgEEfXHS2hi5VZz9BStIZ3Q2Yg51bLuLPGBL+tUz8mJM8RaJZJOtcMvdTWBrIuPoZXfFzorZeRVx4wcmEDSyzrVbfSLp3nBZF10BO02KHRWthEIqDdzoRsnlYc3gqrTIy+LVlCRqvOFld48TOjAhkgQ6U2MaVB1nYkGottF6KKIb2WyLtxOM15k3bAU2o1K6JKIFVNlXRIxMU/oRFE6IzyL0t05wbgSq6eOWh5e1s3KyzA13GzSmF/PoBVdk3Wq5e3/dvslpG3Iul9Jq5+MEDor25h/5WDSGKF7+UcXk/Sy7v37JpHGCN1t4zNJ5++28bRrSY/cwebXbkJsBHLbuXRXtfUFE1qwIRJEMvr0Mhd56HpG0R7IQmclkVQVqpnUHnMqlmiIyDqdQqe6yLryM+YN7GRd/96+a0zIyLo+RONF6Cgt5D2L0oWH0b7aso7yUJIJs9sQa1IrJTYqzDWvmMgwTMtOMdRPy05xq3GiWt6+Z3Q4zHY9zA63wn9D02ilAYQuPjYC6UnG5z09KcatnsgdU2nGjtBdOqIvSS/rsgfQ9kPoIsPtuGuy8bG9a3L7WgdQrt2lHteu1e2o9uZhQgc2RIKIlTern0wcRBojdKv/dzJJT9XpEQjPTi0xzELV+aK6njZe6PZX0JKHZV0g3MibiQmxQvfaplLTEJsG92TVLSVVpuGvs42tbgmCy24d69MY8VXbRKV/ypaSKrSaeNtaHXCbk3ibNsLzbXrdL6f6NEZ81RF58ZbRhtvw/H3pudo2vtD7veoYcWz1Ht4d1ZsmPycNL94yGqlx7p7A1LiodhdM89yOam8eJjTgyqpBRLxZGS0F9HyzykqivfUI3ZBU2uoUqk6P+mZaCISq06OFuOyOqvOFar5LOTE5UtY5iPkuQieWJvpCr1qoag6OlcRTqwmCy24dq1ztde70bDx05TDTyqpW5iTepvXKwgPO46v3Nr3ul1PJlVWtnEPAaTh8uus4bv/nl67PXv7RxYYek9KlM1B8pAbfe249HHC+bb5/3ySfHhPqsW0P+TlpmJad6veKp4HaDtOxsCESZNb9cqpShcbUeFooQOg8i0P5YvOBSkwY4kwYiwqzoZFQpSzqXDzHSrJqalwEymvMwyCpcc6bekMzzVMh6yLtAGWxTaR0v40JA+oIm4o598xMi482XDYokN+4VZY0Tjo/2VKZbGrBZKGzkqzaHs9OTGQYFl1n7LL3JDLcjjsnZSlvi6Lz1UjSrCpnfGwE3rx3gun22lPq/NIRfVE6wtjT4Un2gDhXtWAKlGPbXsLstg4r4x4K22E6Dg7NhADrfjkVX82/EmMGJSAtPhpjBiXgq/lX6rp3Vd3Im4hVEWXdw9OHksYIXVocLedB1r19Ly0UJHTxxDoisk41nwYABibRHshC99PJtCREd52a6WblLb8/sV+Q0KkmhQKhmSDYnjnl56Rhw8NT8XpBLp65eSReL8jFhoendohLn5eXMoxv2BAJEcSb1aa5l+PNeyf4bJwl3MhGN1p3N7K6v+KC1ATSCKHLSiGGiyRdSSUtt0LoekTRjB1ZZ7fTLm9Z10hMMRG6miZaDRJZN2ZAb9IYobNSJlt4t8wQOtWkUCA0EwTbOyfxNn3tyP7IG5zUYXPn5aUM4xs2RDohwo3s6RlJ00nKsrKOX9Xr8oebRpG2IetU3xBHZSSQ9LJuSDLNKyDrMvrQxghdBbGOiKz7aN9x0hihs1Im28qSX5WkUEEoJgiG4pxC0XvEMKEC54h0UqhJWWIdv1mHTXkdv3irNGqWJ79V9owOx4gBcdh1pManfsSAOLclk6pviENT4gCY9+YZKnldRmUkYXOpeYXRURlt+x5O9KII3Z5jvvdZRtZ9Rax6KnSqOSVA27JJo3PoueQXcBojP79iqFIiaSgmCIbanOSEWBvc/ZShsLy01aGFzLFiuh9siHRiKElZlAeS3jr+eW8XGf7deW8Xub1Z3nvpEMNt3HvpELf/izdEowQ++Q1xVl4GFq0y75sj5zBMHJKMFz41bx42cUiy699942gGktDVNdNCM1SdPtbKZItlkwveLUZ5DS0B07ON+vpvgY/2VJi2UQ/FBMFQm5OvhNjUILep9zzngHmSLsN0JGyIhAj+fCNpeyB97baMNDUuCgtmXuh1s6mqbcIJk2pgJ2qbUFXbhMSekZaWJobZbZh5URr+8pnvzqozL0pzOwaeb5J625ER4Qkjb5BneCKrTw+DLbQhdGMzkvBfky63QieYcF4SigielAnnOcfkZfXBc5/sN9XrheFUPAOijbrnMRZt1LkWQ/sJNU8Nn3MmFGBDJAQIxBuJyg3w5pc2kv7mzS9txH8fvNTS0sRWh4Z3vyoz/PvvflWGX+VfgDC7TanglliGaCU8MSsvA0+u3mPY8VVePXLb+Aws/mAPjFbL2mxOnWDyeSn4yzrj1vZCB1gLr8lQPANmbdR91bnoagQiRBEqnho+50yowMmqQUa8kXg+yMUbSWGR8cNaBeqKgIoztNroQmdlaaKZ8QK4t+222un1V//ZZaj3/H1kuB0DE41rtQxMjHGtHokMt2OQiX6QpAfUE0kDUSab26g7v4sTn1qLHy7bjPtX7MQPl23GxKfWduh3MJTgc86ECmyIBBGzNxLA+UbS2s5qoaokxtAuC6GzsjRR1XixUnDrRE0jahqMczNqGlpwQgpX1Te1Gla6BYCDlfWoP1faXFUPOA2Lmy4eYDjmBxcPcDMs/F0mu7vXuQjkC0FTiwN/XX8A898pwl/XH0BTi3HVvVaHhk37K/HOzqPYtL+yw+4H7T3n/poX0/3g0EwQaU+1RUDdjUzWE1eOCJ1IPC2vbvBZIjvVY2liYiytLojQ/WhcOilZ9Ufj0l3/vv75DaRtXP/8BmyYczkA4MlVvnNdZJ5cVYwnrh+Oxatp+sWri12VRFXDUoL8nDRMOT9FaUWL2J7ZeQ90nYumFodfS4oD9Oud+kKgF6JQ/Q4uWV2MZetL3EJ/T67eg4JJ+sujC4vK8OuVu1EpheWSYiPw5A3DDY1Pf5/zwqIyryTo1LhoLJgZ/ARXv90XJQJx/XYn2BAJIu15I1HNKyksKsNj7xThuBR26dsrEguvzfFOVj1LW+EhdGbLfTV4L03cW36GtI295Wcw6fxk7Dx8mqTfefi0y2irOkvrpCvrvjpC247QlVbSQkayTiUsJRugS1YXuyX3rv8WeG3zIcPmZM4HhnmSsuoqJk9UbuaqD2MrqDworZ4P1e+g5/kTODS4Ppf3v7CoTPc7VVnXjNnLt/v0hFHnZfWc+5pXeU2D4bwCgZX7omp+XiCu3+4Gm3BBxOobiaobWdw4jnvkfhw/04TZOvqUXjRvhax7c/sRQ63n7w+crCVtQ+isGG0JsTQ7W9b1NPEueOoyiCXhZV3ZaVpDOlnn6yEGOB9iS3Q8M+K8ezbmK69p9DrvYXYbkk3Oe3KvSJ+rbSYs/dgtt2LC0o91wxliPzy9+OJhrLcfqrTtt8f349yD0nNenjpfyDrV72BTi8NwhRjg3H8Rpml1aIZJ1gAwe/l2r3CIyrzC7DZEhhu/+UeG29zOeatDw0P/+spwzEP//ko3TOPvUI6V+6JqOC4Q1293hA2RIGKl2qJqXkmrQ8ODJjeOB//lfuNYcdd40vyFrr6pFWtMlrCuKa5wy5PY/J35kldZZ28mdK/z0F1LfCuTdWcaaIm6QnfHeFqjMFm3tZTW/0foVB9igPO8z1m523DMnJW7Xee9vqnVsCAdAOw6UuN2DgE1Y6epxYFl6433Y9n6EtOcCSMo+z1X2m8AqKqlVccVOiu5XX/bYF7PRta9vc3YsBfIOtV51Ta0kPKbaqU8q43fncTZJuM+CGcbW7Hxu5NunxUWlSFv8Uduxmre4o9Mc2+oxouV+6LqOQzE9dtdYUMkiFjpi6Ga6b7x25OoM7lx1DW1YuO3bTcOX31uPBE6lTwJQUkV7eYvdL98x/jhIpB1y7cdJo2RdcVltB44Qvc/f/mcpJd1W0pohojQ/f1z2kNM1m3eX2m43BcATtc1Y/O5ZodWzqGqsfPaplLDZdGA883ytU2lpLnosfmA+X6fqmt260qd2IOYr3ROZ2W1yUoTj6Gn7hdvGq/2Esg61Xn9fIWxx0Ug61T3A2gzVis8ahNV1Op7ZOVxE5au9fC06a9iUt13K+cwENdvd4UNkSCj2hdDNUTx5g7ajUPWyTdpI4RufwUt34Oq06OhhebGlXV1xA52so76LiN0lcQ8FFl3pIoWmhE6M2+TQNZ9vv8EaYzQWcl1UTV2rC7BVuFzjzdxii413nj5tafOSpjQbPWWp85KLV3Vee07TguPyjozb4inrtWh4b5/7jDU3vfPHbohJpXwmuq+WzmHgbh+uyucrBoCqBQb69OD2In1nM7MGyKQdSo38wlD+uAEsfEbVddRRIbbUN9sfks3i5MbYVbtVdYJGonWjtA5HLRzKOuOnabdaIUuIykW678118u5LirGzoTz+mBgb9oDn6rT4xgx/0bWjUnvDbsNpkXsxqQ7uyEnxhA9KJIuM7mHV/hKj8xkZ8VeO2hGsfwmqZpzFh8TjsOnzPXxMW2PieED4vDfYvOmjcMHOHs+fba3Ai0mboQWh4bP9lbgsuy+AOh5KPIqJtV9t5KfZ6WEAEPDbx6RJ598EuPHj0dsbCwSEhL8tZkuA7n9OPWZeU43NoPWzVPWHamihSeErqmV9v4m68KI+yF0xLxTN11OapxvoQRVp0c00YiRddQvndDFE5c6y7r+xIe50D2cfwFJL+tUjZ1hxONM1enRP4G435Ju28FTJJf7toPOp/be48QVX5LuTmIukdAtvWEESS/rRg5MII0RuvwLaTlUsm57KcFykXRPfWi+5N5TZyUPRTXfzkp+nlwawAiqjmnDb4ZIU1MTvv/97+Oee+7x1ya6JSeJiXVCd9v4DNhMnpWeJcgra4nhhnM6ava7rOsRSbv0hC4mkpa3IuvqiEljsi6C+I0QuthImoUk6yKIxovQ1dQR3fqSbvxg774zegjd7qO0jsCyTtXYqaqjJQL70lESF8cPIe63pFN10x8+RXO9y7qSSppxL3Rp8bQ3dln3zy8OksYInZWGjUVltG7TQvdtBW2/ZZ2VPBTVfDsr+XnbDxKNMKKOacNvhsjChQvxwAMPYPhw49LUjBqqLsXIcDuG9zd+wxzeP86tGE99My0UIHSDetNckbJOuKDNELpmo2YuEm46Re8RoG4gpfemhcpkXUov2hih04gZA7JubEYiyQAVnjArS1hVjZ32FtCiLBFWLZ8PqIc7rbjoVY2XjSW08KisU81haG6lGeqyLoroynTpLHwHVfNQBKr5dqr6TQdo54SqY9oIqRyRxsZGNDa2vfHX1NCs7+5EdhrNbS10TS0OFB01Po5FR2vQ1OJwGSP1xDcloRvWrxc2EvpRDOvXy/XvISm98NURcxf3kBTnmLReUaipN59XmvSQ70Nc/SPrTjfQbs5Ct7uMlvAn6zQHbRtCpxGNMFm37eApw0Z8Tr1Tlzc4SXkJK+B86EeF29Fo4HmKCre7HvqquRgC3wW0Gr0KaFlpdKj6sFRtjAioGy+7DxM9VJJOdRvbDp4m6WXdxPOSsWKrucdi4nnJAICMxBjsP2met5Mh9Wsam9GblIcyNqO312eq3Y3V9BasKoZESK2aWbJkCeLj410/AwcODPaUQo5f/Hunks7KkrNqk5UQnjqVqqeCraW0RlpCt4/o4pV1+0/QjASqTg9ieRM3HTGlxqWLIL6FyrrDxLdjoesZRSzkJulaHZqhEQIAjS0OVwhFNRdDbENliTBg1JcnWrfqp2q4MzLcjoJJmYbagkmZbl7GWXkZMOtJKBsvZmX7BbJOdRtnG2kvHLLukgxa12Ch+/fsiSS9rLttfKbpo9x2ThdIqB2TQ6GzcmdDyRCZM2cObDab4c/evXstT2bu3Lmorq52/Rw+TKsD0Z04dIq2KkDorCw5U13CWlNPM1xk3SnisleqTo/yalpOAlXXUZTXEOd1TrfzIO3tWNb9djWtDoXQvbp+H0kv6xa8bbws01N3qJJm8Mk61SXCgh2HTuG4xyqV4zUN2HHIO35vJWQ0d3o2In0YiJFhNq9S35Hhdlx+QYrh37/8ghSX8XJJJvGBL+lUtzGI6EGRdX2JuStCl9gzEsk9TSr29oxEoqSJDLfjrsnGRsZdkzN1e7uodlBW0VsJ+zE0lAyRhx56CHv27DH8ycqiZYfrERUVhbi4OLcfxp1BxARBobMSz87qQxsjdHazZIRzyDor4QZVaO97dF1HoVojgmomyboKmr3q0n19gmbwybp/fllOGiN0//qSloQo66zE5UUZbs/jrEG/DPclmYmkB4y8gmLEgg99rhZratUwYsGHbp+1OjRS9WHh2fnBxTRvsKxT3cZvvz+StA1Z5yC686i6jsTfJd5F2M8Ir7AfQ0LJEElOTsawYcMMfyIjaUsNg0kotq+mzukPN40i/T2hU3XXAsDdk4eQtiF0Y4hLhGXdAKJBRdUxoc8ZYlEvd51aXN5fZbjlb+OJmkbTAmU1DS04IXlk3tp6iLQdoVvw9k6SXtYVbj9KGiN0m7+h1YGRde8U0VbmCF1VbRNO1Bqb0idqm1AlaZpaHHjJ5By+tN67pYG/S7wDctjP3TOUFq8f9mNo+C1H5NChQ9i5cycOHTqE1tZW7Ny5Ezt37kRtrfV4fEeg6roLtTnFRIaZ5gxEhNlcsWMr8eyJ5yebtrSOCrdj4vnOhLQhyT0NtQJZ149oYFB1TOjTK5qWGy/rVOPyVnKitpRUkcI/otz39c9vIM1J1v3yrSLSGKF7axetmq6se+gtWjhO6Oa8S5uTrHtzq3kSqay7+aWNJL2se2VjKSnR+pWNpa7/B6LEuyA/Jw2fz5mK1wty8czNI/F6QS42PDyVjZB24DdDZP78+Rg1ahQee+wx1NbWYtSoURg1ahS+/PJLf23SFCvdFkNtTltKqtBs4vZsbtV0v0BUwuw2/GS8cVGe28enu1yQs/JotUpkr8v5KbSwG1WnR1IM7W1a1t03lZYAJ3S0iLm77vtjk0ljhO4S2ipZN92Cq2heLaF77npaAS1Z9/KPLiaNEbofXDyApJd1qnF5KzlRqnVEqoh5S7LOSsl2VRqI4RChq2si1hGRdKr7UXGGFliUdapNIZ3j/V/iXYZcgJIh4TdD5OWXX4amaV4/l156qb82aYhVV1yozUm1hbwVV3WrQ8O7XxkbZe9+VeaaV5jdhpgI4yz/mIgwty9ri0ZzjQtdTATtiy7rRqXTnuCybsLgvqQxQjdtBO0tSNZNHNyfNEbofnApzUiQdbdfNpQ0Rui+N46WkyDrLh1BO1ZCNyiJ5jmTdapxeSs5UarJqok9aMvCZZ3qwk9iORs3nWoxvj49ifVTJB31eSt0Kb1ooXpZZ6VIYCBKvDP+I6SW7/qT9rjiQmlOOyjNISSdVVe10bwAbzcnpcOvvB/biTUMhO43N44k6WXd735Ay6eRdaL0sxFy6WcrSYWqN8Fq4qokT13p0hmGes/fq+pVx6geW4FKXN5KGW7Vct9v3UtbkirrllybbaBsQ+iWEEu8y7q7p9AWCgjdm7MnkPSy7nfX55DGCN2Ku8aT9LLuxtE0z5msC0SJd8Z/dBtDpL2uOH9gZU6qrtFAuKqt7MdZYmdcoZtO9DzIuiJi2XJZJ5d+9oVc+nn8kD7oYVLzoUdUmFtJccoqjQRplUYi8c1VT1e6dIZXmGbBVUN8GhClS2d4hWmeu36EocFRunSGV5jm5R9d7DVGHFujm79nWW0BNS5vpaaNarnv5LgoxJnku8RFhyNZqmNyhtB8UdadPEsLaci6n11O84IJnWrZeQCYefEg0hihs7J8d/yQPog1+05Fun+nAlHinfEf3cYQCUVXnJU5ZSYRS6Of0wXCVW1lPwYlEpchn9O1OjRSHoocxvrsW1rCn6fOqCqn5+/D7DYMTjE+J4OTe3jd0MyKScm/Vy0J78ntlw1F6dIZrh+zsM33xg1001PCNpeO6Os2xlfYRpTV9vSMpPkoqy1DictbfeFQLfe9a8FVPo2RuOhw7FpwldtnqiXetxH7lci6yHA77japv3G3VH/DyrEKs9vw4i2jDfUv3jLa7dxsfXSaT2MkuWcktj46ze2zMLsNv//BRYbb+N0PLvI6//4u8c74j5Aq8e5PhCuuvLpB16tgg/MCDKQrzsqcVMtLWylHrVqKW+yHUTjH0835h5tGIcej1oIeYhnya5tomfSvbSrFnZOcrufP9hENkX0VrgJUG4ppSxo3FJ/AxOxk1De1YtcR4xL6u47UoL6p1bWSacO3J0gJxxu+PYEpQ1NQa7L8UUDVBRvVMtwqtOeFQ3VeuxZchRM1jbj++Q2oOtuMxB4ReOveiW6eEIHqC4GZR0DgqRPX8V8+884Lu3typluhNavHSoTKHn5jO6qlaGB8BPDUTfoP8K2PTkNVbRNufmkjKs40IaVXJFbcNd7NE6K3jcfe+RrHz7Qtg06Ni8KCmRf6NBL8W+Kd8RfdxhARrrh7lm+HDe4hjmC54qzMSSzH1bvRCOTluKp6QK0Ut3gznXlRmuE2Zl6U5rYfPaPDMWJAnOFDfMSAOPQ899ZpJcR04CRtjKy75dUtpDG3vLoFpUtnYNH7X5P0i97/GovPxfOXrT9AGrNs/QFMGZqC+R4FuHwxf3UxrhrZj6QNNsK70dG094VDdV7JcVHYMOdyU53qC8GNowbg7Z3HTP/ujaO88ynmTs/GQ1cOw2ubSnGwqg7pibGYlZfhtSS/PcfK+QCfrvQAT+wZif8+eKnpPsnbmDqsr+l+eKJ6Dv11LTJ0uk1oBghNV5yVOc2dno27J2d6ZbDbbd5vPVb0qi5b1VU2rs/um4T0JP0QTXpSDN69b1Lb/y2EmKgLoNqzUGrTAVpys6xTTT6tJfYEoeq6MqEa+1et5zP+PPM8idjIMIw/T39lWJjdhux+8RiT3hvZ/eJ197e9x8rfS1gLi8ow5elPsGjVHry66SAWrdqDKU9/EtSaT4x/6DYeEUEouuKszIn61mNFr+qyVVllI795FBaV4WCl/nLkg5X1KCwqcxlis/IysGjVHtM5ySGmQb2jsd/H35cZ1Nt6XpDJqmVd3YgB8dht0hFZ6ACgX3w0viU0/evnY0VKq0Pz+/Ve39SKxauLUVpZh4ykWDwyPZvcuK2jEcb9/Ld3o6K2zehL7hmBx68bHrTY/6hBvQH49ho6f+8kzG7DrNxBhl7GWbmDdM9jYVEZ5r9dhAopVJfSMxKPX5fjM09iwbvFKK9p+w6nxkfjsWuyO/RYNbU4yPcrUV/J8x1B1FcyenEMxPXOdCzdzhABQtMVZ2VOkeF2Vz5ER+pVcz7kG5gRsq7VoZGSQvcvno4wuw31JsuDBfVNra6b27M/vBjTn1tvOubZH7at+Ljp4v5440vzUtk3Xeys8XHDyAFY+qF5w7gbRra50B+dcSH+8YV5Q8dHZ1wIAHjjrvEY/cQaU/0bOkslC4vKsPC9YrdzmdbBD5mCV7e69ThZ/y3w2uZDmJadgmW3ju2Qbajy5vYjbkYIAFTUNuPN7UeC8nAVNYOMWPheMaZlpyLMbiN7GX+Vf4HbQ7awqEz3e1VR24TZy7cblCF3f+RTejypPPCXrC7GsvUlbt7HJ1fvQcEkb4+sWX0lG9yPlYzTCHM3QFNMDFA2XIJPtwrNMDREzocRcs7HV4do4QlZ9+r6b0hjhO77z39K0su6m14wN0I8dYOSiB1Jz+lum0CrxCrrYiLDfIakBOlJMS6PQnxsBKkterzHkuBAVBL2NEJk1hRXoODVre3ehiqBmtOS1cUYNu8Dt9DBsHkfeDXVA6zV5lHRA84H6n3/NO6IfN8/d7iFSMU1Uu7VqbjR8BpRaUshmhB6hkAdmn4TQqs1n4QRpmeAzvaxL6HY8qM7woYI44VqzsfLm2gNvWTdwg++I40Rum9O0laEyLozNCeKm27N17SOskK3nbjMUtY1tThwqMo4ZHSoqt5V7XZLSZVp/RjtnE4QiErC9U2tpG6vet6sphYH/rr+AOa/U4S/rj+g3ITOH3NSQfXheuCEeShO1pVX0yooy7rP9lagxeR8tjg0fLbXeXysXiMqBm5Ti8MwvAQ4j5d8/q0sK251aPjZip2G+p+t2KlrhIVSy4/uChsijBdW3sa6Ct9W0FbaCJ2VNvWqTb2s3JgDUUl4MXE1j6dOxZMQqDmpYKVtwguf0lZKCV0VsaCZrPvdRzQvo9BZuUZUjZe/EVeIybrEGFpZeFm3Yd8JU2O2qcWBDfucy/NDseVHd4YNEcaLUKxCGyhUe2modxEBtpbSHv5CZ6XeQyDOYWklzWiTdaqehEDMSRUrbRNqiZWEha53LO1hLOvKqmn7JHSBMHBX7jDPt/LU7T1+hjRG1r24nuZhFbpQbPnRnWFDhPEiFKvQBoohJlVSPXXjiAXwZJ1qsSorfTECcQ4ziPk0QmfFk+DvOVnBSml01eZvp+poHhFZ19hMO25CFwgDt9lBm5OsU61CCwD7ymtJY4SuO79shSJsiDBeqD74VtyRS/q7su4Ho+NJY4TujnG0Rliybv7080hjZN3LP6Hti0tnob+7XhEqPYROtf8NYL3BnAqPTDeek6fOiifB33OyAmVFiadOtflbYg9ieELSxcfQugILnaigbIRcQRlQN17ysmgrAWWdlZpBESZFzjx13fllKxRhQ4TxQrXQUe75tJuNrPvND2gdTIXuokz9wk2eyLrbJtIMEVkXHxtBWtEiVqh8UVpJ2oasG39eH9PqkJHhdrdiVfk5abgiO0VXe0V2itfSRNWVT1aIiQzDNB9zEkzLTnGt/glE2ER1TlboFUV74Ms61eZvqfG0XkyyblhaHGmM0KlUUBaovqTM+96FpDnJull5GSQDSa4ZdOlQ2v1B6Lj7bmjBhgiji2rFV3+3kLfyBhNmt5GagHk+jM/v28twjPvv1XNEAMBh8gTw/P2S1cWGS1I9cytaHRre+PKI4Tbe+PJIu5Pxlt061ueD37uOiAX3kQXM2shT28z74jixbo6nTqX5mxWP1i1j00nzEjqrTe9UXlKsGIaqVWgBYME1w032wl0XqhV4uytsiDA+yc9Jw4aHzVuvC0qXzvAK06y4I9e0hbxnmOYHo+O9xlh5g7FSel51+eeYQQmGWoGs2/DNCdIyyw3fODP8reRWbN5fidN1xqXkT9c1Y/N+mkfHcNu3jsWex/MxK3cQJp3XB7NyB2HP4/lexcxGDkgg/T2qTg+zwmGiGFZ7DLB+vWneCj1dWoK+ceH5uZVwXE0zrcS/0LWn6d0V2Sle5qIGfe9cVh/jvCu936u2pbBi8IiXrb5xodPyo7vChghjiGo/idzzk9zawVPCNr/5wUS3MXphG3Fj9vX40OB9Y7ayDFl1+efHe4+T9LLuJeKSRqGzkluxcT9tWTFVZ0ZMZBgWXTccr905DouuG64b+ujXmxb7p+r0CMRqiPFZtDCAp27mc+t9NnncdaQGMz2qAL+53dij5fl7VcPCSo4IoOads1JHRDBqUG8k93TvZJzcM8qtFL6MmnfOyY5Dp7w8V+XVDdhxiFYfiOkY2BBhDGl1aNi0vxLv7DyKTfsrO9W6eiuuZ9U8hv0naSsoZF11A7Hp3Tmdlc7Dx07TCmJRdR1BIBJoA7EaIndwEhJijfNEEmIjkCu1bKhtaDHsNA04jZHaBqe3wkphtpEDE0xm7q6zkiOialj83/r9pDl56kSxseNn3Cu+VpwxrvhK9c4BbUvJ9Tw7HbGUnKHDhgjjk1Aqf9zq0DBn5W5DzdyVu90MJSuuZ9Xln4eJhousS42LMlC2IXRWVhG0J3zgL4RXyyi81t64fCBWQ4TZbVh6g3FOwtIbhrvtxwNvGJde99Q9uYr2EJR1L2+kedqEzorR9vfPadsQuuXEFVCyrr3FxijeuUAsJWfosCHC6BJq5Y83HzDPeThV14zNB9pyHqzklagu/4yOoH2FZN1V2amkMUJnZRWB1fCBvxFxeU/PSFoHxeUDtRoiPycNL94y2suoTI2L0m0sd+gUzfMkdF8dOU3Sy7q3dhwjjRE6K0abmZfGU3fiLM37J+sCEV4LxFJyhk637L7LGNOe7pf+YhMxqXLT/kpMGOJ8uIo38HuWb4cN7msxfGXGR4bbEW63GSaThtttroz9zD498d0Jc69IZp+ern8PSKQVTRM6sYrAyCXuuYogd3ASYiPDUGfQU6VHZJhb+CBQ5OekYVp2ql86nlo551ZR2Y9BvWOwr9y8Yuigcx6quGjaEmFZ19xKLB52TieMtvLqBt3vug3OxE13o01t5VNEmA3NreZjIsLajlkgwmtWwp2M/2CPSCfGX/kbgS5/TNsPa0s/VZchbz5QSVrRIjwvf7hpFGlWss5KroTqKgIAprVKqEWg/IFqErQKque8PVD3Y/H1I0h/T+jumphF0su68cTiYUJnZQnrlURvntCNy9BPLPVE1gUivGYl3Mn4D/aIdFIKi8qw8L1iN4MhLT4aj12T3e4bbSDLH1P3Iy+rD577xDzxLU8n1KDy5qrqeekZHY4RA+IMExFHDIhDz+i2r5r81u7rTVTvrX3u9Gw8dOUwvLapFAer6pCeGItZeRm6BseWkirS8t0tJVXIC4JXxN/40+tihT+tpTWk+9Pab7DouuHIO48WMpN1j37vQvxjy2HTMY9KxcOE0eb5HUz1cS+5fUImlnyw1/C1wHZOBwDP/uhi5Cz40HROz/7oYte/rXlq1JiVl4EnV+8xDM94hjsZ/8GGSCdE5G94fodE/kZ73/oCVf5YZT9yByeRQia+Qg3izdUcdc/Lu/dN8rk0c8SAOLx73ySvz309AMyMychwO+6cZP623B5jstWhhcwDvD3Qz7n/UV2NJa9UMWLbwVOufRS1NIzyOPSqyqoYbZHhdtw12ThMeNfktjBhew11f4XXrIQ7Gf/BhkgnIxD5G4F4I1Hdj6YWBylk0tTiaFf57nEZSXgO5p6XcRnuD7h375uE2oYWPPDGDhw6VY9BvWPwh5tGud1gPfHnW7tVY9KfnrbuTEZSLNZ/S9MB1g3JZbeORcGrW3WNEV+1NAA1o02EAZetd++ibLc5H96eYcKONNR9eWqsoLofjP9gQ6SToZK/YfVtMBBvJKr7oVJobNF13ksrqW/59jDaPunpekaHY9lt+jd6X/jrrd2KMelvT1t35pHp2Xht8yGSDmifV3LZrWNR39SKxauLUVpZh4ykWDwyPdvQQFf1gqmECQHrhvrUYX3J27CC6n4w/oENkU5GoFzu/n4jUd2P9jRMKywqw4J3v0Z5TVtxpNS4KCyYeaHXfpysbfQcrouerqnFoXxD81cYRBiTs5dv1/29ZyXa9nraVB98VgjENlTPIVWvGjYRhqSRsW60DLmqtgnv7DyKs42t+OpwGGZPHoL+ifo1YwqLyvDIm1+hqr5thVViTBgW33iR4fe8qrYJL3z6HWoaWhAXHY4Zw/sh1UcJeyvofW+XrT+g+72VUf1OhdltyO4Xjz69opDSK7pThiE7O2yIdDIC6XIPpdCBqmtbUFhUpvswLq9pxOzl271qPlg9vktWF3u5eJ9cvcfQxevvMAilRLjYTns8bZ6hgPXfAq9tPmQYClAlENtQPYeq+mW3jsWIBR+ipsG7J0xcdLjbfojuyUY5DL66J5//69VokpbM1jS0YsJv1iIyzIZvnpzupvX1/aiqb9X9fggumPcB6pvblgufPNuM3KUfIybCjj2Lrvaeq0doZl/5GeQs+NBnaEb1eyuPU/lOcSgyNGD/UyfDSsGm9hQn89cyS9X9UC00BjjfjO5fsdNQf/+KnW7Lha0srRWloj1TWBya71LRVs9JU4sDf11/APPfKcJf1x/wWflRtUS4VU+br3wE8fcLXt2q+zuVpedWt6GC6jm0cs5nPrde1wgBgJqGFrdeM5Tuyf/S6Z7saYTINLVqOP/Xq9224ctjJpi9fLvXNjyNEJn6ZgcumPeB22eqPXYoVZTneFRRBtS/U6FWtLE7w4ZIJ0N17X97yyX7Cyv7QUHWbfj2BBpNSjQ3tjiw4dsTbvOaeZHxm5D8JtrU4sBLJqWiX/IoFW31nCxZXYxh8z7AolV78Oqmg1i0ag+GzftA96Gn2ryvT09a2XlZZ6UfCqDWOsDqNlRQLfdtpTy4aq8ZK5WEj1bV+zRCBE2tGo5WOau3rtp+1FArkHXlpxt8GiGC+mYHyk87H+6q+w1Y6xyt+p0K1ftid4UNkRBB5Q1RpWBTe4uTUd/ArehV9uPnK4zf3PR0L31Ga7gl61odGt79yvhN6N2vylzn55WNpdBM7lWa5tQJrJwT1Tdw1ZwaB/GGK+tUjR1A/S3USs8VAfU7pVru20p5cNVeMyr1bARXP/MpaYzQPfTWLpJe1n3v2c9IY4ROdb8BYNMBWkdoWaf6nQp00UbGGM4RCQH8mb/RnuRWKzHzlzy6WT6xag/u8lH5U2U/9hLKY3vqjp6m7busM7tBAe65EltLaTeqraVVKJjsrP+hek6aWhx4yaTj6UufleChK4e5EiUHEZvZCZ3Kg2/S+ckA1I0d6luonBC78zCtnoanrrCoDI+987Vb99a+vaKw8FrvREfVct9WyoOr9pqxUs+mtolW4l3oWgil1z11vkJLngid+n4D3j5SX1gvCx/Ioo2MOewRCTL+zt9oT/KllZi5lZbalP0ID6NdqrKuB3FFhawrO027cQpdLHEbsk41DPLy597H1RPtnE7Ql9jhV+isPPBVy2SrGHltqD+URKKjZwv542eciY6e3ynV/bBSHlzVMNSrEKyHrKOuOBW6GGLDRlkXZ7DcVkboBvam3X9k3ThifSJZp3qf69OD+B0k6pj2wYZIEAlEnNJKcquVmDnljb09LbUvO/cWrqK7YACtuZys+3SPcYKgpy4cTSS9rPto30HSGKH7z5elJL2se239d6QxQnfwOM0QkXXjBiSQxghdyYlakl7Wjc8k9k85p7OSoDwrL8PU3LGhrdz3j8alk+Yk6377/ZGkMUI3lvgwlnU3XTKANEbopp6fQNLLupuJ2xC6my+mHSuqzhdj0nuTOlSPST/X00bdvmX8CBsiQSQQcUorja1UY+CvbKS9sb+y0dhYMeKro9XKuve2HyeNkXXvFtFCFEL3n520eLas+/v6ctIYofvmBM09LOtO0MqhuHRHz9KMXVk3b1URaYzQPfcJYf21h+5sEy0UIHQbviEmKH/jnqBMuX7bwkWnSXOSdUXHaNev0KmE/ASDevc0ULYhdF8epoWYZN03x2ljhG7nkdMkvaz7gni/k3XbDp4i3bNE6fz21AvqSvircaoqbIgEkUDFKVW7karGwLeW0t6mqTo9ahtpDyRZZ7aCQFXHuHO6gebhErqKGtpNXdaV1dCufaH744c040jWrfmaZhgK3eGqsyS9rHtrG80LJnTr950wUcJLFx8TQRojdJpGO3+yTjUUqZllcru20aZrbqGtgJJ1qvfSQPXTCmVUVq/5GzZEgkggvwz5OWnY8PBUvF6Qi2duHonXC3Kx4eGpusmwqjFwK7kYqliJy0cSy7XLOuIQsq4rQ715CB11ga2sO3CS9tAXuh1ltBwfWffIW8Y1Kzx1b2w173DrqfvPDpqxI3Qb9tM8bbJuTTHNAyh0ni8mvpB1w1J7kcYIXRzROJJ1+0/SQniyTvVeaiVk3ZUItRoqbIgEkUB/GajFyWblZZDirSJmfsNoWtyYqtPjDzeNUtY9PH0oaYyse/ueiaQxQndRMs24ouqCxYBetFuBrOvTi/aQEbpoYjalrAuEkXu2kWYiCd0ZoneOqtNHfdVMXTNtP4QuzEazpmWd6qqZmgbjeiBt+jZdQzNt32Wd6r1UDln7wqifVnVdM258/nPkLfkYNz7/OapN6p6olkEA1MMm1G2EYg0VvxkipaWluPPOO5GZmYmYmBgMHjwYjz32GJqaaMl93QEr+RuBQLTINkJukT1+SB/TB0GPqDCMH0JbCaCHaCduhGc78QtSE0h/W9ZtOUjLERG6vAtoSXay7n9G9yeNEbrrR6SS9LIuhrgwX+huGX8eSS/rLh9Gm5fQpfSirUCQdaMGJZDGCF0U0VUl65J60A6W0FnxzqnmRo4c2Jukl3VZfWjJ2UJnJ95XZB31ViR0VnJCM/vQjq+sE/dSX49Oz95KgNNL7GsxXpgdPksnTHl6LS56/L/Ydug0yqobsO3QaVz0+H8x5em1unqVQoQC1bCJyjZCsYaK3wyRvXv3wuFw4C9/+Qu+/vpr/OEPf8CLL76IRx55xF+b7JSo5m8EirnTs3H35EyvG4/dBtztURckzG7D735wkeHf+933L2q3QfXufZN8GiN6PSsuyUxEQqzxW3vv2Ag3j9O3J2j1SoTOyrLimEjag0/orhszkKSXdd/L6UcaI3R3TMoi6WXd/GsuJI0RuvnEMv2y7tczaNsQusL7p5D0sm7+NTm0eZ3TWfHOvXsvzdMmdL+eQTtWsk61DcK0bJohKevGEVcxCZ2VZci/uHIYaYyn7t5/GBc99Pz9+b9eDV+OiRYH3MrhC6Y8vRYHK/XDfwcr672MkUC0f1DdRijWUPGbIZKfn4+///3vuPLKK5GVlYWZM2fiF7/4BVauXOmvTXZaVPI3ZPzluhPMnZ6NHfOuxJhBCUiLj8aYQQnYMe9K3eJk+TlpePGW0Uju4f7gT+kZ4bNBlZX9ePe+SShacBWmXZCCoam9MO2CFBQtuEq3cRYFzy19U0YzRITOswGcL2TdIOIbtdCdrKV5EWVd7nm05c5CFxlux92Tjb1gd0/OdOssGxluN+0uLGsuze5LCvldmt3X9X/RtdYIuWttZkoP0jYyU9q8B42ttKRNobPinRs+KJ60DaFT3W8rY249F1o1Q9YdO0VLZBe6uChijoike1WqQmyErCupOEtaNVNS4cwlUi2HDzjDMb6MEMHBynpXmMZKKwDVsImVbYRiom5Ac0Sqq6uRmOg736GxsRE1NTVuP90F1eZy/nTdCQpe3arrgvTVZOzN7Udw4qx7rLSittmwC6yVzO2e0eFYdttYfPjzyVh221i3G77MlpIqUs8K2QVZeZb20Be63KwkktclN6vNEBnWl5jwd05npdhYvwRaAS1ZJ7xgemFCTy8Y4Dy+lJL/4viG2W14/sejDfXP/3i017W/7NaxPh+wet13DyyZ4dMYsducv5excmNW9c4BQOnSGTpq379X3W/VMVtKiGFISffwW7RVSUJ3zfMbSHpZ95d1tGXesu7KP3xKGiN0+cRy+LLujpe3kMYInZVWAKphEyvbCMVE3YCVeP/uu+/w7LPP4re//a1PzZIlS7Bw4cJATanTIlx3ntefcN15hnSE684T4boD4PWQoXQ8lW9qqnqj/SjzsR+qWHFBthKXGwpdmN2Gmy4eYNiu/QcXD3B7uFbV04wdqk4PEZYyMsQ8w1IAMGpQb6T0OuZWlTSlVxRGDfLOWSgnLq2VdcJz9ujKXThZ15b4mNwjHIuuH+HzfC+7dSzqm1qxeHUxSivrkJEUi0emZ7t5BGQOLJmBkoqzyH9mHRpbNUSF2VB4/xQ3T4hA3JjLqxt030RtcIZKPY/Vu/dNQm1DCx54YwcOnarHoN4x+MNNo3waxoDT2Nh9qBozn98A7dzffvfeiT49Jqr7rTJm2foDPv+Gp27KUGNPS0dylpisKuuIQ1y6s400L5isO2ZSFdhTZ6UVgOo9y8o2RD7NPcu3wwZ3r3CwchOVDZE5c+bgqaeeMtTs2bMHw4a1xe+OHj2K/Px8fP/730dBQYHPcXPnzsWDDz7o+n9NTQ0GDqTFx/1JU4sDr20qxcGqOqQnxmJWXoapS1rlZgM4XYVX/2kdzja2okdUGD742RT0T/R+q1Xt10F13cl9SlQ6nsZEhinrzfZD7Itn3xEB9cZs5U135IB4HDllfjMYOSDetR+Udu2/yr/AtR+q88pIoiUhUnUCz2PvyzCsONOoaxhWEYs9eeqo/YU8iYkMw6LrhpO2CTjDL/uenG6qa8+NWXjnVBg+KB4lJt4RGdX9po6prqetaKHqOopwG82wCG/HczIqwoZ6wkaiIto2khYfZdqiQOgAa0nNqqXnrWwDaMtN9OxxlmrS48xfKBsiDz30EG6//XZDTVZWW0LbsWPHcNlll2H8+PF46aWXDMdFRUUhKiq0avurNn4DgIw5q9z+r6HN9ajnnj3/16vd4pU1Da2Y8Ju1iAyz4RuPG6lqUzYV192d5xIRVbqqLrpuuLIeUN8PgafnZf23wGubD+m6qkcOTCDNS9bl9E/A+7vN6zHk9HeOUWnXPuHcqiFXmWkThG5WXgaeWL3HsMuvTVpODaiFpfIGJ5kauDZ4G4aJPSJJ+6GnE6HIUCHUbsztpdWhmRp62Wlx2H3UPPydndYWgrpiaCI+2me+muKKoU7vUWZCBEpOmxsymQlt4c2haXEoOmY+r6HSvHJSe6Ko3Lz+SE6qs6rsXXlZeIbQnfuuvLZn2T0TB6Pgn+ZdwO+ZOBiA8/v45Oo9hvdfu8f3VnWZ0Y/GpWPRqj2mcr22BFZfCPyBsiGSnJyM5GRaItzRo0dx2WWXYcyYMfj73/8Ou71zlS2xEtLwNEI8yZizys0Y8TRCZJpaNZz/69VuxoiqO9yK666EWERK6A4Qe4jIuvJqWuEpWaca/nl5I831/PLGA7jnUueyVLOHt0DoNn5HKzy18buTLkPkc6m8uBGff3MCl2X3RZjdhpiIMNQ1+a4TERsR5nYDUXXxqsSmhQGRGk/LQ6Hqgk0o3ZjbA7Wbt2pBOgDYdvA0aYzQHSQYIZ66nrT8Vjdd7nl9SIZI7nnO72BGKq0cvqz7qozYZqKsGtNGpLnKIBiFbeUyCIB66XmVdgN6hn+ovBD4zTI4evQoLr30UgwaNAi//e1vceLECZSXl6O8nFZhMNhYyUbefYh2oQqdlczt19bTvA9Ct/kbWmlpWbeP2BJe6A5W0JKKZd2ecloCptCphH8Eb26jNbCTdV8RE0OF7iixW6+s+91H35DGCN2WkipDIwQAzja1uiXdqrp4reTTKDca6wSoJo2HSq8OgcrSzyPEnAdZd6aJllshdNQ2l7Lu+FlaYTZZFx1OK2gndNaMaPWqKCplEAD1sG0oLsW1gt8MkTVr1uC7777Dxx9/jAEDBiAtLc310xmwko08k5ghLnRX/2kdSS/rth+jJTAK3Tc0m8JNd4J4LxW6I2do1RZl3f99dog0RuieXPU1SS/rqs7S3sZk3eFTNMNC6KysTlGNzVu62SjeM63k06g2GutqhFKvDkB96WdGEi2/QNbFRNAe+EIXQXzCyLp+xNLzsk61XolIUDbCc+WIlaX6gNMY2bvoasybcQFuzUvHvBkXYO+iq3VD+6orWkJxKa4V/GaI3H777dA0TfenM2AlpKFalPlMA83yp+o6E6pvSlY6niYRcxhkXTgxfCh0E4jVYmXdUKJbWOis3GxUXbxWlvR1lbcxK4Rarw5AfemnagE0AFh6g3HhQk/dBz+jFZiTdXcRi+vJutzB5svoE2IjkHvOSBAJykbXu2eCspWl+oLIcDvunJSFx6/NwZ2TsnwudlCtth2KS3Gt0LmSNgJIIMo4E1tvkHVdG3W36MUZtC+frMtKpp13obNyc/rjTca1NDx1VkIgqsaLlXYDof425q+wSSj26gDUDUMrRdPyh9OqsQrdkNSept9c2zmdYOL5yYgyuelFhdsx8fy2XMUwuw1LbzBeJbT0huFeJd5fuGU0UuPcw5ipcVG6pQMo21jisQ0rqFTbDtU2IarwI84Hqo3fAPUyzpefT0v6lXU3j0kgjaHq9KC2DxO6xcTmcrJu9ECaV0DoJhI9D7JuLNEQkXXn9zWumOmps3JzUq3MaSUEYsX1rNpuwMo2AoU/wyah2KsDsGYYLrt1rM8u1ZFhNq+VaGF2G168xdiQfvEW96J0ZkuVPX8fZrfhmZtHGo555uaRXg/X/Jw0xPiIBcVE2A1WPvl6hHsj6uCkxrkf67T4aNMK0iqoVNsO1TYhKrAh4gPVxm+AehnnwWm0h56sW/r9CaQxQjcnn2YkyLr/Z1Lq21P3o8lDSHpZl5vV10DZhtBNIhptsi6NmL8h68KJTdNknZWb07v3TUJ6kv780pNi3CpzWgmBhNltyOlvfH3l9I/TvZlTb4BhdhtmXmR8k5t5UVrA38b8HTYJ1ZDUJZmJiDVpPhkbGeZmGI59Yo3hqr2xT6zx+vxX/9lluA3P318w7wNDvd7vf/b6DsMxer8fseBD1DfrB33rmx0YseBDt8/EdeK5EvF4jfF1kp+Ths/nqLfkUEUlcdpqm5BQgQ0RA1QzngG1Ms7jiQlWnjqVbdwxkdjMTNJNPo9WRVHWqZavnnAeMbfinG5sRiLMupbbbO7eDSshDStNugD1m1NhURkO+ehbcaiy3u0maOVNt6nFgY/3GK8y+nhPhW6JduoNsNWh4d2vjB/q735VFtAQhVnYRBTKa8+cQjUk1erQUN9snE9W39zq2veq2iacMOljdKK2CVWS5kRNI2oajJPTaxpacKLGmXtUfrrBp3HQNicHyk+3GQNWVhOqzqu94TXV1VWBIBTnRIUNERNUMp4FpUtn4L17J7ocfDYA79070ethrJpg5bkNz/DLzWMSvLZhpZlZ7uAk0puV57xKl87wCtMsnj5U10hRza3YdvCUYUEvANA8whNWQhrtOScqD3CjqrKA+03QSkKalVVfqqgUpQsUgZhTqCYIvraplPQdEef85pc2kv6urLuOuDJQ6L737Gckvayzsprw2j/T5iV0oRpe664ErNdMZ0ZkPKtAKeMs8gtmL/ddrc8zwcrtd9+fgKXfN5+LMJo8K8TabfBZITYy3G5Yu8JXMtmPJg8hhWoo+y7nVlhxh1sNabTnnFBQLR5mpQS5lVVfqoRiiMJK/xtVQrFXB6B+zivO0EoByDrV1ViniUvVZV1tI22VoKw7UUs7n0IXitdud4Y9IkGmLb/AO3O7I5OfVDw7lPLgpzy61lpBJbfCijvcqgvd3+fEyk1QJKT19ZhTXx8Z/lZ7UADO4nHz3t6NWX/9AvPe3u1WJE4mFEMUVvvfqBKKCYIDe9NyooQupRdtebusi42kvbsKXTSx7oisM+vjpaeLIC67F7pQvHa7M+wRCQECVVqa6tkJ5NsCdd+tdEgVY4y8D75c6Pk5aZg6rK9ys0MKqlVP3aFl+FvqcwG1Xj7tOb7+oj39b1QJtZLwQ5JpK9GEbsVd4zFaJxnVkxV3jXf9e+nMHNy9wjiRVOgA4KmZOfjpv78y1T91Tg8Av7l2OH72H/Mxv7m2bbXa3ZOy8Ie135mOufvc/c9qx2XGP7BHJEQIpUSjQL8tUPbdynr59qzqKCwqw+TffIJFq/bg1U0HsWjVHkz+zSeGKy7IdSvUS6L4zPAv95HhHxluJ62akQ0rSi8fmfYcXys1PppaHPjr+gOY/04R/rr+gG6ibVfrf6PCO18dU9LFx0aQanzESzlTV4ygeXqELoFYJVXWJRHHyLp7pp5HGiN0XaX+RleBPSLdCEpHTqB9bwtNLQ5lLwJ1jHCHL3i32O2B7KtDKnVVx6/yL3A7DoVFZbo5IuU1DZi9fLtueKawqMx7XnHRWDDTe16qcXaz5FaxEkTujNvU4sCuI8Y9gHYdqUFTiwOR4XalXj6iwFWrQ8MbXxr383njyyO6x3f+27tRUdsW/kvpGYHHrxvuM6SxZHUxXvqsxO0YPLFqD+7yWL3WXi8N9TvSth9FqJBWlaT0jMTj1+UYhmasfEco1DXRWi0I3ZaSKtNq0No5XZ5UkfTFW0Yb5lDJdURUr3UAOHmWOEbSiaR8owZznkn5Xa3jcmeGDZEQQeUGaAXng/JrlNe0fXlT46KwYOaFuhUEH7sm2+fNRoP+28KS1cVeCbFPrt7jMyHWypgdh07huKdXoLoBOw6d8toPlRUU4kbb6tAwZ+VuwzFzV+52e+irGi6JMcTwwTmdlf14nthY7/mPvsHP84dh4XtFJP3C94qw9EZn+e7N+ytNc4lO1zVj8/5K1zJsX8eqorbZp5Hnqwu2Bu8u2KJ+itHx0qufIuZG6VprvB9NPvdD7Ivqd4TK2Iwk/NfEmBQ6wHoIVuRQPfKfnahqaPNKJcXY8eSNI4OW2yWOn9614qvcQqiF17orbIj4ibU7y3HHim2u///t5jGYOlK/PLKvm5pZYuT8lZvx6pa2bnW3XpKEx2/IJf/98ppGw5umCr4eFg7N+2FhdYzKAwmwdqPdfMD84XqqrhmbD1RiwpA+lgyXvcfPkOa19/gZTBqajPJqWiM+WffiBuPO0bLu5/nD8Om+kyS9rNt0gDZm04GTmHCe81jd+w/fb9IAcO8/tuPbJ6e7eXaM3nIB57l/6MphiAy3o6nFQfLsCE+QQIS+PD0EogianIDa6tDwsxU7Dbdx/4qdKH481e2BZuU7AjiThxevLkZpZR0ykmLxyPRst7LrgtvGZ2DxB3sMl/DabE4d0L4QbH5OGob3S8DVf1qHs42t6BEVhnf/dwr6J7qHvAKd2zV3ejYeunKYksdJhIaZ4ME5In4gY84qNyMEAO5YsQ0Zc1Z5aX0ZCQAw26C6X8acVW5GCAC8uqXSaxuUB+WclbvdYvQiFGCEXOeiqcWBZeuNHxbL1pe4xfSbWhx4yWTMS9IYVT0A9OlJTAqVdOu/OUEaI3QqhovgEHGZpdBZcW836ORP6CF0DgdtyaS7Ti3Z5dM9x0m1TT7dc9z1//9bv5+0BaF74ZNvSXpZp1oEbcM3J3TzU2QaWxzYIF1LVr4jgDNv54L5hXht8yGs//YkXtt8CBfML/TK1wGc4Ym7TKpB3yVVg25Pif4L5n2ACb9Zi5qGVrRqQE1DKyb8Zq1XlVThXTUKK3ZkbpcYn90vHmPSeyO7Xzx7NzoBbIh0MHrGhq/ftzo0w1gr4DRGPBP5VLah4j4XqBaFslI865WNtOJLr2wstaQHAIdJdUY93fpviYbIOd3n39K8Au46tT7NVWdptRhkHbFSvUvXvzdtua+sG0dcUSB0i1bvIell3etbDpHGCN1fPjtA0ss61ev9pfW0bcg6K98R1eRhAPj756XeYh+/D7PbkGyyhDe5V6TXg/yCeR8YllL3NEYoXjCZVodG8oLpJTj7s8cQ4z/YEOlA1u4sV9Ld85r50jlP3fyVm0ljhO7f28yXtHnqvjx03EDZhtDtPlppooSXbl2xcZKjp+7dHbQ3Y1n32iZjr46e7lAZLWwidKuJ85J1WjgtZCR0JSdpc5J1vSJplojQpXu41H0h62rP0gpiCd3ps7T9lnW+aph4InQNJuXEBbLuMNFDddjloaKFymRdaSVtG0KnkjwsUC2NXt/USkpolrehWrK9pOIsyQArqTjr+v9qkwRzXzp/9xhi/AcbIh2IZzjGTPffPbQ3XVnnGY7xhdC9vZOml3W/+5CWXyB0H+ymeRFk3cZS2sNV6HaX0R56su6/e2tJY2QdbVZtulLj+7gLWbd8g3lCoazbQPS6yLqaRprXReg+KKIZn7Lukfe+Jo0ROqJN4aZTLW5FM0PcdW9spXldhO5wFc2gctepecEWr6YZ0bJOtTS6lW2olmy/6o+fkvSy7pdv7iSNkXWB6DHE+A82RJh200L8css6Kw+M7opqvgcA0waBnjqzN2mBrDvbSFsuKnS9omlVNmVdRhItZCR0Fkq04AxxP4ROM4sRnkPWjRyQQBojdKoeFAA4SyyNLnRWtmHWWM5T10T8Asu6xhba8ZV1odj3iKHDhgjTbnpE0R4wsk41h6E70yvauAmfnk71nFDLWMg66tul0MUTly3LusEpvUhjhM6KsaNaDj+JmAQt6/oRc3CETtUAA9TPuZVtxEXTFloKHfUBI+uiw2lfelkXiB5DjP9gQ6QD+dvNY5R0d+Qmk/Sy7tZLaMvMhG7FHd7LefWQdYuvzTFQtiF0H/xsCkkv62ZPpjURFLpfXWXeSM9T99z1I0hjZN1L/zOKNEbo0onFZWXdbZP1l3F7InRLZ9LOh6xTPSezLzVebSGQdcRnvkt3x0TaOZd1jxBrawidlWvxDzfRzrnQvXXvRJJe1qmuUFHdb0B9361sY9H0C0ljhE71ew4Av/mfkaQxsi5QPYYY/8CGSAfiq06IL9386y4h6WWdXp0QPYQu93ya4SLrbho3iDRG6Ponxpi+UYfb4VZj4P5pQ0nbELq7p5xP0su6740bSBoj6668uB9pjNDNv5FmfMq6/KEZpDFCd1kO7bqSdakJNAtJ6P536jCSXtb1T+xBGiN06Uk0vayLiQzDtOwUQ/207BRXXY3+iTGINHGjRYbZ3K7FntHhGDHAuBz+iAFx6HnuLT85LsrUMxAXHY5kqUGhWMbqa2Y2uC9jVd1vQH3frWyjiWh8Ct3Pr6R9z2XdVcTrXdYFsscQ0/GwIdLBlC6dofR7Vb2VMS/eMtpQ7/l7UcbZbIy4abY6NCSbFEdK7hXt5soXJZmN8CzJnBBrHKLorfN7K8eXMi/BgVO0OLusG5PeG2alDew2pw4Ath08RdqGrKPGwoXOyvmQm6EZIXRW61Ysu3WszwemXjO+b56c7vOBHBlmwzdPTvf6/N37Jvk0RkYMiMO7901y+2zXgqt8GiNx0eHYteAqr89FSXHPY5Dmo2Ov6n4D6vuuug3VImiR4XaSsSNfV1au9+7cY6grwJVV/UDp0hlKlVVLl87Agre+wMtftK16uH1cHyy4fpyufqxJx8yxT6zB1kenAaDXKtm/eLpbvQDKGPEQt1KCHAA2HTBe0SP/fktJFalwmOc2AOfxff+Lw7jvrV2uz567foSux4RaeEpU8jxMNERk3baDp0hLGrcdPIW8wUmWKsRaGaNaIjuxZySSe0biRK3vFU3JPSOR2NP5Fiq8AnoVTAFvr4DMslvHkiuMAs4H8tGqerfKnx/8zLvyp8y7901CbUMLHnhjBw6dqseg3jH4w02jXJ4QT3YtuAonahpx/fMbUHW2GYk9IvDWvRPdPCGeqJYUV91vK/uusg3VSqmtDg1FR42XlhUdrUGrQ3MdAyvXbih2gmbosCHiJ6aOTEXpSOO3cUFhURlWf+3+ZV39dQ1yzyvzekuqqm0yvPEDwInaJlTVNiGxZyRWbT9KmsOq7Ucx8+IBAIDdh6pJY3YfqsbwQfE4SnwYO3VOI6G2oYVUw6C2oQU9o8PbnYw2/sK+OP/zHqg404SUXpEYf2FfXZ1K4ak7J2UpJzoC6jfaQPfrUCmRvfXRaRj7xBrdazK5Z6TLIBb4ajTmq6eLTExkGBZdN9zn7z3pnxiDXQvyyXrAGaZZdpu3p8EXyXFR2DDncqVtqJYUV91vQH3fqduQjUkb3Bcl63WttfKSYuXabY+RywQfDs34CWqbc1HivcLjRi6aZ3kW4bn5pY2k7QvdQyu/Iull3cznN5DGCN2HX9MKucm6B97YQRojdO1JRhv7xBqMfmINvqk4i9P1zfim4ixGP7FG17N0kFjcSuhm5WWQwiyz8jJc/1e90aqGcoD2le+ODLfjzklZePzaHNw5Kcu0lsfWR6dh+6PTcH5KDyTEROD8lB7Y/ug0LyNEkJ+Thg0PT8XrBbl45uaReL0gFxsensrdTjsJwphM9bi+UnVCTO3xbhjl0+hdu6qhLyZ0YI+IH6B28Wx1aLjvn8YP5Pv+uQP7nkiV3Ja0wl5CRyw06aZTK72k3n4cAA6dolWnFDqryWi+3tYBp+dIDmMB6ks5I8PtuPyCFMMqmJdf4B4Dd7rigVaDcxNmh+tGqxrKcY633oXWCok9I/HfBy8l67nRWOeGGmJqr3eD4nWxMi8mtGCPSAejUmb4s70VpsXAWhwaPtvb9pDrRSspQdZ1BE0NNKNC1vWOpl16QhdJtI5knUoYSzBjOG3VjNCpxMAFtQ0thkaI8+86dYC1GglNLQ58vMe4guvHeypMm7cxjC+EMXntyP7IG5yk+7Bvr3eD4nWxMi8mtGBDpAMxKzMMuJcZ/t1H35D+rqw7XEMrC0/VdQRbj9IMEVm3uZSWhyJ0D7+zy0QJL91NxDCWrJv1N1ovH6GzUtHxjpe3kLYhdFbCUlaarDFMRyO8G4B31VuKd4NDeN0DNkQ6ELOHkgb3h1J1Pc1YoOq6MrVNNJeIrDtmYiDo6VTHWImBq27DSlhKNdeFYfwFezcYMzhHpANRfSgNTe2Jw4RciaGpPds1r65AmA2gtEORSyj0jAwj9d/oKS1T7BkVThsT5fzqWImB9zNZZijrAGs1Eqys5mEYf8G5G4wR7BHpQFQfSn+8ybhomEDWPXXtBaQxQnf5+bR187IurRfNPhW6vj1ol5GsuyZHf/msJ0KXm9nbRAkv3Y8voVWIlXVPfI9WwlrorMTA/3Y7raKu0FlZAWNlNQ/D+BP2bjC+YEOkA1F9KKmWlgaA/xlH6wkidM/dQnvoybr7p9GMHaG7dkw6SS/rLr2AVsZZ6BKJjcZkXSOxo6ysm5qTatrB1XZOB1iLgcfHRiA9ydjLkZ4Ug/hzlWJVy4MDztU8BZOMr5WCSZmmS3MZhmH8Dd+FOhArDyXV0tKq5det9JNQ7Qky5Tzjvy+Qdf0SaOEGoWskru6QdTbiC5esC7Pb8ILJ8X1BOr5AWwy8r0dFzb5xUT5j4Ot+OdWnMZKeFIN1v5zq9pkrzu6xjVSDbcydno27J2d6eUbsNv1KqQwTalDrMTGdG84R6WB8VY5MNagcqVpaOj8nDS/eMhq/+Od21ErP55524Lc/0u9ZUfDqVt1aF3r9JFTLJecOTkJCbIRhCfaE2AjkSnUjVLcxNiMJ/zWo1SEYm9G2jbysPnjuk/2mY/Ky+rj9XxzfR1fuwsm6ttonyT3Csej6EQbJdb7MT33mXn0B5r/zNSrOtK12SekVhblXG3mkFLehWCkVcN78VWP5VsYw3QvVa4Raj4np/Ng0TQtZE7Ompgbx8fGorq5GXJxxCCPUCMSNuanFofSAUelZIeqh+CqX7PkWLirE+uJFnbd2lW00tTgwdN4HMLpabTZg36KrXceg1aFhzBNrTA2kbY9O0z031HNodd9Vxvg6VmI2RqsPVK7FwqIyLHj3a5TXtBlHqXFRWDDzQp9/38qYUKWrGFSq/WmsoHpd/frNr1BZ35YInhQThidvvEj3GmnP9a56X+wq5zzUUHl+syHSSSksKsP8t4vcSsOn9IzE49fl+PyCVtU24eaXNrr6ray4a7yrIZmvbXg/YKKxYKb+G8mS1cXkhmnyNua9tQsnzpp7Hnz9faPtWDESBJSGZhRjp3dsBL6UjB3VMa0ODROfWmvqPdrw8FSvG2hhURnm/Gs7Tkt13RIigaU/aL9xZHUMABw6WYf8Z9ahvtmBmAg7Cu+fgkF9jFfw7Dt2BtOf/QytmnN11Or/nYyh/Xr51O8sPY3rXvzc9f+3Z0/AyIwEn/rCojL86o3tkEvwxEUAv7nJ9zWycmMpHnz3a9f/fz/zQtwwPsNwP0oqziL/mXVobNUQFWZD4f1TkJniOxyqeqxUvJ9WUfFWqF4jZte7aKynd70vWV2MZetL3Gro2G3OfCi9exB7XfwHGyJdHCs3f5XGZAKVG5rVB9LM59brNr/Ty49RnZPAyr6PWPAhahq8S9d7tnj//LuT+PH/faH7N2T+8f/GYcKQPpbGbNpfiR8uMy+09npBrlvZdJVzYsV7ZNXjNOSRVdBL+Qm3A98t1m8UmTFnlc9tiC7Q7dFbuX5VtwEAWXNX6Raas9uAA0u8x6geK1/fD0FHGCMq3opWh4Yhj6w2bBthA/Cd1P3b6vWu+qLSHq8LY47K85uTVf2Ev5KsWh0afrZip6Hm/hU73bZH6bfiidENbU1xBQpe3eo2pzkrdxvOac7K3V7HwJcRAjg77858br3bZ4VFZfhIZ042AB8VV3g1CASAKU+vNdz3KU+v9frclxECADUNLRix4EPX/zftr9TVeSLrVMeodTd20urQDB+sADB7+XbXOdm8v9LQoACA03XN2CzN3coYXw9WAGhxOH/vidEDX+/3qnrVY2VlG4BvIwRwVrnNmus+RvVY1Te1GhohgPO7W99kXifHF6rVo9cWlZv2rtLO6QRWigQ2tTiwbL1vIwQAlq0vcbU0UN0Pxr+wIeIHCovKMGHpWvxw2Wbcv2InfrhsMyYsXav7oFRlwzcnTPuDNLY4sOGbEwCs9VtRvaFZeSDVNrT4NEIEu47UuPqtWLlxVNc142ClccG4g5X1qJbmfqKm0acRIqhpaMGJc+GquiZaE0JZ19hCaxIodO/sPELSy7rC7UdJY4RuVRFtG7Luze3GN35P3aGTdT4frIIWh1Mn2HfsDGkbQrez9DRJL+ve3HKQNEboVm4sJellXUnFWVLJ/ZKKswCsHasnVxWT5kXV6aFaPfrR97/2qZWRdX2IS/VlnWpLA9X98IRX83QsbIh0MMLF69morLymAbM9mt5Z4aX1B5R0NxP7rci6xatpNyqh23TgJEkv6x54w7jrsKfOyo1DtacLAFz75/UGyjaE7p0dx0h6WfdxcbmBsg2h+/w7/ZuhJ7LugZVfkcYI3RtbaIaLrFu5w3wVk6zLf2YdSS/rrv7TZ6QxQifnhBgh6371Nu1hKXRyTogRsk51360cq6+OnCaNoer0UPVWVNfTDHU3nWr7b6i3NLDidREUFpVh4lPuL5oTn+qYF83uChsiHQglRDFXJ0ShQk0Dre+M0FWcod0IZF1pJe1L3aajZpi36Q4RStvLukD0dAGAE8QGc0JX30w7l7Lu6GnaNoSO2h9X1jURBwkdsfYbWadHfTNtUrLOyr6HIqrF9awcq7hoWsttqk4P1erR8TG0bcm6k2dp3w9Zp9rSwEprBkCtuzpDx6+GyMyZMzFo0CBER0cjLS0Ns2bNwrFjtDfIzsjmA+YhilN1zdh8gJYjoMfQvr5XCejpkg1WxcjIuowk2pda6OSEMSNk3aDetIJmQme1pwsFWRdpp30lhK53D9qNVtbZiJXWhK5HJG1Oso76xRa6COLKTqpOj5gI2qyous6E6vmwcqzumphFGkPV6aFaPfrxq2ktE2Sdle+6aksDK60ZOK/Ef/j1G3/ZZZfhX//6F/bt24c333wT+/fvx//8z//4c5NBxUrioio7DtLGCt33RtJKqcu6R4gVN4UuN8tZ0MyI3rERyM1qM0T+cNMo0jaELhA9XQCgYAqthL7QzTcsPtaGrLuE2DdH6P4f8cEh6y5MoxmsQve76y8i6WVdak+aVSJ0hfdPIell3TUmVYE9dRMHx5P0sm5oH5qxLnR3T6Z9p2Td7EkZpDFCZ+VYTRyabFqyPzLcjolDk0l/Ww/V6tE9e9GOrayz8l1XbWlgpQp2e/NKGN/41RB54IEHkJubi/T0dIwfPx5z5szB5s2b0dzcVdvaWwhuKlJZR8t4F7rKWlpipKxTLQsfZrdh6Q3DDfVLbhju9qVW7bMTiJ4uAHDvpecb6j11DcTV77LuJ7k0Y0foMvrQSu7LuuEDE0hjhG7G6P4kvax78rqRpDFCN6hPLMxa24Tb4VYj43/G0foYCd3dU4aS9LLuX/deShojdL/KpzWrlHU/v4pmsAqdlWMVZrfhTzePNBzzp5tHtrtYl6vdgIfHMTU+2mvJ60liqFPWWfmuA+otDVT2A2hfXgljTMB8oFVVVfjHP/6B8ePHIyJC/+25sbERNTU1bj+dCc9S4e3V6ZFCfMMQOqvt4JfdOtanMaJXi0CURU+Nc/9Sp8VH+6whotpnR/XGAaj3dIkMt+PuycaGwt2T296srLiRa5ppxqHQpcbTwliybnByT9IYoVPtYQQAk4bRvBWy7rvFM3w+YPVqY5yup720CN34IX0Qa1JBtEdkGMYPafsOWmlCqHqsVK8rQP1YAW3fw5Se7vfYlJ4RhsX7VMnPScOGh6fi9YJcPHPzSLxekIsND0/1+vtWczGsfNcBpzGyd9HVmDfjAtyal455My7A3kVX+yyoSN2P9uwLY47fC5o9/PDDeO6551BXV4fc3Fy8//77SErSzylYsGABFi5c6PV5Zylo1t6S4hSqapswWqfuhyfbH52GxJ6RaGpxYNi8DwyXttltwF6pNLqMaqloK+WSVfrsWN1GdV0z7nh5C45VN6BffDT+dvslbp4QT6hVYkUVyPLqBp+l6j2rQKoWbLJSWdXqeS8sKsMjb+5EVX1bEmRijB2LbxzpdXO2WngKoFcLtbINq8X1pjy9Vne5t57BarQdowe+lerDVqrQhkrZcivfD8/xobAfYi7t2ZfuhkpBM+Wmd3PmzMFTTz1lqNmzZw+GDRsGAPjlL3+JO++8EwcPHsTChQtx66234v3339dN2Js7dy4efPBBtx0ZOHCg6hSDhghRGN0El3qEKFRJ7BmJ5J6RhrVBkntGukq3i9ipUcVBo3bwkeF2TB/ez3Uj8Efb+MhwO3KzkpB2rjeE2Tbqm1rxtw0HXIbL8P7xhoYL4Aw3TR+e5uo/YdZ3Y+70bPzv1PNNDSThRr5n+XbY4B508+VGVm34J2/D1w3QcxtWz3t+ThqmZaeSbv7tcVUP6hOL4kVXm44Vx8rs5i/nCwivwGPvfI3jUkNBs/436345VdlgTY2Ldluq7+kR9MRKE0LqsZIJs9vISeT+xMr3w3N8KOwH0P59YXyj7BE5ceIEKiuNEyazsrIQGekdQjhy5AgGDhyIjRs3Ii8vz3RbnbXEeyCagKmWLVftwQCo92Gw0rdBdV6qJeGtbMPKGNV9t9o3x9/HV4X2eERUEEsmAf2bvy9XvT/fprk8uBpdqadLV9oXfxKyvWYOHTqE9PR0fPLJJ7j00ktN9Z3VEAEC41JUbWKn0pVS9UZr5cas+jA2KgkP6BsjVh74VsYA9HPenhCeletKtRsplUC6qkPp5t+epmzdmVAKs7SXrrQv/iIkDJEvvvgCW7duxcSJE9G7d2/s378f8+bNw/Hjx/H1118jKsq8jG9nNkQ6M6o3Wis3ZtUchtqGFuRIPV58UbTgKlf4xEqeRFOLA0PnfQCjb4XNBuzzkVND4fNvT+LHfyU0vbtzHCacZz2xORBY9VZYIVRu/oHyBDFMZyYkmt7FxsZi5cqVuPzyyzF06FDceeedGDFiBNatW0cyQpjgobpe3sr6etXeED9/w7gpmUDWqW4DAF7ZWGpohACApjl1VrFSEj9Usbq6wQoiX+Dakf2RNzgpaG+gvIyTYToW5WRVKsOHD8fatd6dTZnQR/VGa+XGrNobYl95LUkv61S3AQBbS2kF47aWVqJgstUKleol8UMZlQTXrgAv42SYjqXr1VJm2o3qjdbKjVm1vomVnhVWaqjERtJsc6pODysl8UOdUPFWBAIrlT8ZhvENGyKMF6o3Wis3ZtXeEA9dQat4KutUtwEAN44eQNoOVaeHlZL4TOhgtfInwzD6sCHCeKF6o7VyY1btDTF5WArCTW7s4XYbJktVPFW3AVirzKmKlZL4TGgRyNwYhunqBHT5riq8aia4hFodEasVM63UBLGyHVUKi8qUi24xoUWorORh2uBzEhqExPLdjoANkeCj+qX2d52LwqIyzH+7CBVSMbe+vSKx8Nocw4e3ai2NQBgJzsJ3xV6VORfM7NjaGHxjZroLgfpOMeawIcJ0aQL1YA1GZU7AGc7qKPd+KBUCCzRdxQALxH74q+hdIAmUJ5OhwYYIw4QwVprYWaE7lyHvKgZYIPbDahsAVQNJtbmlCpRqxb1jI/BlOxqOMmr4tekdwzDtw6wAHNBWAM7qEt5Wh4aF7xXrelw0OI2Rhe8VY1p2ape7MfsywMqrG3DP8u2dxgALxH74amfg0OD63FcelWfosm+vKCy8Vj906dmeYV/5GeQs+NCwRxRAN3Y2H6g0NEIA4FRdMzYfqMQEj0TzruI568ywIcJ0KF3pS+2vfSmv9m413x6dHirVbjuiXkmonPf2GmBdZT8oNLU4sGy9755KALBsfQkeunKYW5jGVwjk+JlGzF6+3SsEYtQjateRGsx8br2uMVJYVIZ5b+3CibMtrs+Se4Rj0fUjvIydTftphQg37Xc3RLp7TkmoXO9siDAdRldxhwP+3Zeqs95dk9uj0yOQZchD6by3xwDrKvtBRaUFwp2TnFWEWx0aHvzXV4ZjHvrXVy4DqbahxbBRJeA0RmobWtzCNL6MnRNnW3SNHeiabHq06Xxto7ymwcc2uhahdL13rmwkJmQRbmTPm6dwIxcWlXXYtlodGjbtr8Q7O49i0/5KtJrdTRXx974k9qT1WqLq9GhPGXKV4xvI807BqgHWVfZDhdJKWgsEWbfxu5Ooa2o11J9tasXG75x9kn6+gtgjStK1OjRXI0Vf3LN8u9t1OXYQrYqt0LU6NMxZudtQO3fl7g6/t4QKoXa9s0eEaTeBzEfwtxUfiH1JjaMZCVSdHqLabXl1g8+VOak6ZchVjm8o5qFYMcC6yn6oo+5F+M+2I6QR/9l2BJPOT0bRkVMkvaxb+3W56cy0c7ppw53XZHFZNWk7xWXVmHJBSrtySjo7oXi9s0ckRLDyll/f1Ip5b+/GrL9+gXlv70a9yZuKlW00tTjw1/UHMP+dIvx1/QE0tTi8NFa671qhPVY89VgFYl+EkWCEr14l1HMoqt36OsMavKvdqh7fQJ13AeVatNJuIND7QSEQ/WxGDkhQ1u0pMw6zeOqO17aYKOGle/TdItIYWffWzmOkMUKnklPS1QjF6509IiGAlbf8gle3Yk1xhev/678FXtt8CNOyU7Ds1rEdsg29ZX1Prt7jtawvEG5kMyse8G3FqxyrQOyLMBKMah7o9SrxZ2KdlePbnmOlmiS3ZHUxXvqsxG1+T6zag7smu1+L4tjes3w7bHB/5/fVbiCQ+TRUrOyHKv1605pCyrpe0cbtD1R1elSZeCr0dM0Ob6NUjzadujeoqxCK1zt7RIKMlbd8zwerzJriChS8urXd2xDL+jxfuMWyviWri12fBcKNrLLkVUb1WAWqxfuOQ8Yua8/fi8Q62QgB2hLrPM+hagzcyvG1eqwKi8qQu3gNfrhsM+5fsRM/XLYZuYvX+PRoiWvR85GgwftaBJx9YO6arN9j6K7JmV5GW6DOuSpiP2wetobNpr8fqljxzF15IW2bQhcTQTOUZF1MBO2xJOvyiA0ihS4vixZuoerM8HdemwqheL2zIRJEqG+h8kVb39Tq88EqWFNc4Qo9WNkGdVmfcI1fkplo2k02ITaiXW7kstO0payyTvVYAcDIgQmk7VB1eqgeXyuJdSoxcABeBo4vZF12Gq3IoKwTBtWJWve5naht1jWomlocunUuZP7yWYlbmKawqMzQcPHcRiDCIFYoLCrDSz5eBl7S2Q9VhNfFaL89vS4/mWDcRNJT96urh5L0sq5gQhZpjKx7xKDwmozQ5Q4274CdEBuB3A5Y2l5YVIaJT611M7wnPrU24AmhglC83tkQCSJWYnWLPd7+fCF0VrahsqxPoBevl2k2+b0ZOw7Tkt5k3cL3viaNkXX//OIgaYyerrahBQWvbMVVf/wMBa9sRW2Dfnxc9fiqGhWAegy8qrbRRAkv3UP/2kEaI3RWVkP8bcMB0jaErtWh4Wcrdhpqf7Zip9s2rHSP9jdGLxACzxcIK4guwp6ekTQfXYQjw+2424e3SXD35LaO1kP7JpDmIevuvmwIaYys++rwadIYoaN0wF7aAR2wQ211ChCa1zsbIkHESqxOdcmdlW0crKJtQ+g2768kLenb3I7EL+oNV9YV7qYlsMk6K0saAWfRppwFH2LNngrsKz+DNXsqkLPgQ8x8br3XWNXjay2xTi0GnhAbSVLLup3Em7/QrSmirYZYU1Tu+v+KL4y9IZ66DftOmBrFTS0ObNh3wu0z8UBO9Xggp/p4IPubQCYU5uekYcPDU/F6QS6euXkkXi/IxYaHp3bIPo9J7w2z55nd5tQJIsPtGDHA2Ns2YkCcW5G1TQdOkuYj6/Jz0vDiLaORGue+TD41LqpDaohY8UYHilC73jlZNYhYidVlJMVi/bfmYzKSYi1vIz2RlsQmdCo3gQnnWYu5njhDe2OXdQ3NNC+MrKO2XpJ1qpUjVY+vlcS6vKw+eO6T/aYjRAz8dB2teJqsq66nJRUK3dyVxoWwBHNXfoX8Ec4b4aHTtHkJ3UtED8pLGw5gygUpbp/l56RhWnZqSFSaDHRCYZjdRiqMRg2ViWqs2w6eInn/th085dp+U4sDu48ar87ZfbQGTS0OlzHS2Gr8IiTw1PnznAe6urEqoXS9s0ckiFiJ1anGQq1sY1ZeBuktZlZehvRXKFi/wJPjaMW9ZF1ST9pbvqzrEUXL9hc6lcqRAtXjayWxLndwEmIjjfelR2SYKwae2IN2rNx0ivZRTSPtYSHrVK+smgaaceRLJx7I147sj7zBSUFrTxCKCYUA8Lf1xFDZOZ2VdgavbCyF2fuApjl1gi8P0DxDejp/nfNQXJ3iSahc72yIBBErsbqYyDBMy06BEdOyUxBz7iFkZRuR4XYUTDKOAxdMaosDU6359lj9g/v0VNb9ODeDNEbWVdTQPC9C98AbtDwJWRcZbsfAxBhD/cDEGNfxHUtMGvPUmbVxj5B+nxpvPB89Xb/etDFCF0VsKy/r+hKLugndRcTaGFRdsAjFhEIAWLnjqJLOSjuDLSW0UKSsO3yK9jCn6jqCUDUmQxE2RIKMlVjdslvH+jRG9GpjWNnGqEG9vT7z9fvcLPMM9N6xEcglLrHTQ91LA/y/SbTse1mn+nA9WHmWpJd19U2tOFhp/KZ4sLLetZrnC2KOiKzbUlJlmuB6uq7ZlWNgZSnn9y8eQJqX0N01hXY+ZN07P51IGiN0v55B8xhSdcEiFBMKAfV6HVbaGZjlm+npoiNonkyqriMIVWMyFGFDJASwkiy27Nax2PN4PmblDsKk8/pgVu4g7Hk8X7eYmeo2RJKVL0QJYJFkRclAX9LODHRVL40Yo5LhDwDjiWEQqk4P1ZVPb+6gldWWdaoucStLOfsn0HJdhO7eS88j6WVdclwU4qKNU9niosNdIbnIcLup5yUq3G7qLQoFQi2hEFCv12GlncGIAfGkMbLux2MHksZQdR1BqBqToUjofxu7CVZidTGRYVh03XC8duc4LLpuuCsc095tWMnYb8tA914G2FFdLOdOz8bdkzO9PCN2m9OgmKuTP6M6RrW+gJztb4SsU12ZY+UN0YpLXHUpp2o4x4phCAC7Flzl0xiJiw7HrgVXuf6/paQKjSarZhpbHAEtX90e/LmixQrzvnehks6Kp23iecmkbci6O6cMJo2h6sygFigLRWMyFOFVM4wXVpOsApGFPXd6Nh66chhe21SKg1V1SE+Mxay8DMM3XJUxwrtjVH5dri8wJKUXad6yTnXl09iMRPy3+LipfmxG283caodflXMoHjJGRqvnQ0YYfnorL3wZk4DTGDlR04jrn9+AqrPNSOwRgbfuneiVxNwZEgRVoa5oCQQiR82oUKBejpqoH0MpVZ+blYSocLuhQRkVbncL9UaG20nz6ghPmGq7jFBanRKqsCHCeNGeJKtA3DQjw+24k5j/YWWM8O4sePdrlEvJq6lxUVgw80K3m82svAw8uXqP4RJFz9yVR6Zn47XNh0znIVY+3TY+A4s/2GO4ksBmc+ra5mq9wy/1HMoPGV8dfvVcz1aMScAZptkw53JDDScI+p9lt4712TrBKEfN8+GdatDVmeLVanVormur1aGhyGTJb9HRGrcxVhAFyjyvd1GgzJeXI5SMyVCEDRHGC6st5LsS1LcYkbtiVFvBM3dF9a0yMtyOu0y2cZfHNqx4K6zg6yFj1lDRijFJga/dwLDs1rGob2rF4tXFKK2sQ0ZSLB6Znu0zPJyfk4apw/qSjE+VarqzL3VWV1XplWTVIDArUCZy5/QabzLGsCHCeBGIzp+dAepbjAgneHYqttvg1alYoPpWqboNKy5xq4SS65mv3cAhctQo6IUz/m9Dia6x+ub2w6S/+eb2wy5DJBAhuVAvUNaZsWnUUpJBoKamBvHx8aiurkZcHK3BFtNxqMZCuztNLQ7lcIPKW6WVbXTXc9hd9zsU8RXOEKagZzgjd/FHbiFRX6TGRWHzI1cAcLY3+OGyzaZjXi/ItWwkvLPzKO436WMEAM/cPBLXjuxvaRtdCZXnN3tEGJ+E0ptuZ8BKuEHlrdLKNrrrOeyu+x1qWAlnZCTFkgwRkcwNtPW0McvVoq5y04Pzj/wHGyKMIZxk1fnpruewu+53KGElnJHZpyc2l5h3286Uqihb6WmjCucf+Q+uI8IwDGMRaj2J7oqV3I3wMJrXStYFIkeEC5T5D/aIMAzDWIDzUMxJjCU2U5R0qcQGl7IuLoL2KKPqfCFWiS14txjlNeZLkRka7BFhGIZRRCRgeoYdRD2JwqKyIM0stNhbblzbQ0+36itaSwNZ94+tB0ljqDpz3D1fIbzmo1PAhgjDMIwCZgmYgHsvpu7M4VO0nkeyrvg4bYys23u8ljSGqvOFMEA9k2mP1zSyAdoO2BBhugUcy2c6Ciu9mLor6Ym0xohUnS/CiXkZVJ0ebID6D84RYbo8HMtnOpKu2M/GX1hpgRAdDjS0mP9tuQ/iFdnJ+L/15mGXK7JpDfX04IJm/oM9IkyXhmP5TEfD9SToiBYIRni2QHj6uhGkvy3rLjs/lTSGqtODDVD/wYYI02VhVyrjD0Q9CV9Ofhs6po9PV2Hu9GzcPTkTnlERu02/47KD2CFX1uUOTkJCbIShPiE2Arnt8FSwAeo/AmKINDY2YuTIkbDZbNi5c2cgNskwHMtn/ALXk1Bn7vRs7F10NebNuAC35qVj3owLsHfR1bp9mKw88MPsNiy9wbhC8dIbhrfrnLAB6j8CYoj86le/Qr9+/QKxKYZxwa5Uxl+IehKp8e4PzdT4aJ+t4Ls7oj3B49fm4M5JWT57JF2SmYhYg35LABAbGeb1wM/PScOLt4z2qkOSGheFFzvgnLAB6j/8nqz6wQcf4L///S/efPNNfPDBB/7eHMO4YFcq40+4n41/aHVoqG9uNdTUN7ei1aF5HWt/nxNhgHomv3NBs/bhV0Pk+PHjKCgowNtvv43YWPPlWY2NjWhsbFufXVNDK4bDMHpwbwjG33A/m47ntU2lMKsPpmlOnV4DSH+fEzZAOx6/hWY0TcPtt9+O2bNn4+KLLyaNWbJkCeLj410/AwcO9Nf0mG4Au1IZpvNxsKquQ3X+QBg7147sj7zBSXwPaSfKhsicOXNgs9kMf/bu3Ytnn30WZ86cwdy5c8l/e+7cuaiurnb9HD58WHV6DOMGx/IZpnMRqCJoTOhg0xSL5J84cQKVlZWGmqysLPzgBz/Ae++9B5utzVJsbW1FWFgYfvzjH+OVV14x3VZNTQ3i4+NRXV2NuLg4lWkyjButDo1dqd0MK+dcdUx9UysWry5GaWUdMpJi8cj0bMSYJFoeOlmH/GfWob7ZgZgIOwrvn4JBfXw/VE/UNOL65zeg6mwzEntE4K17JyLZpDFcZ77em1ocGDbvA9MiaHsXXe0z4ZUJPirPb2VDhMqhQ4fccjyOHTuGq666Cv/5z38wbtw4DBgwwPRvsCHCMIwVrFTTVR1T8OpWrCmu8Pp8WnYKlt06VncbQx5ZhRaH9+fhduC7xTO8Ph+x4EPU6JQZjYsOx64FV/ncjwXvfu3WDyU1LgoLZl7YaTyAS1YX4y+flfj8vV79ESa0CAlDxJPS0lJkZmZix44dGDlyJGkMGyIMw6giqul63tiEP0AvJKc6xpcRItAzRnwZIQJPY8SXESLQM0YKi8owe/l2n2M6YhlroFiyuhjL1pe4eUbsNmclVjZCQh+V5zf3mmEYpstgVk3XBmc13WnZqa5QheqY+qZWQyMEANYUV6C+qdUVpjl0ss7QCAGAFodTN6hPLE7UNBoaIQBQ09CCEzWNrjBNq0PDnJW7DcfMWbnbbd9DmbnTs/HQlcPw2qZSHKyqQ3piLGblZXA4pgsSsDOakZEBTdPI3hCGYRhVrFTTVR2zeHUxaS6yLv+ZdaQxQnf98xtIelm3eX8lTtc1G+pP1zVj837jHL9QgloEjenc8FllGKbLYKWaruqY0kraslFZV99s4g7x0FWdNTYoBLJu04GTpDFUHcMECjZEGIbpMlippqs6JiOJtmxU1sVE0G61QpfYw7iBm8BdRw23hH5YhulesCHCMEyXwUpjMtUxjxATJWVd4f1TSGOE7q17J5L0so5aTZQrwTKhBhsiDMN0GaxU01UdExMZhmnZKYbzmJad4lZPZFCfWJilN4Tb4aonkhwXhbho47UEcdHhbvVEcrOSkBBr7EnpHRuB3Cw2RAJNU4sDf11/APPfKcJf1x9Ak1nmcjcjYMt3rcDLdxmGsUJ3rSPSlZbvdhW66zLkkKwjYgU2RBiGsUp3razqLGhWjPIauhHG+IfuXJiNDRGGYZhuTGcu8d5V6O6l6rmgGcMwTDdGdIdlgsdrm0oNjRAAcGhO3Z2TsgIzqRCl65lhDMMwDBNkDlbR6s1QdV0ZNkQYhmEYpoNJT6TVm6HqujJsiDAMwzBMBzMrLwNmaTl2m1PX3WFDhGEYhmE6mMhwOwomZRpqCiZldslEVVU4WbUTE4jMeCvLExmGYRi4luZ2xzoiKvDy3U6KlYJNqlgp2MTLBhmGYdxpanHgtU2lOFhVh/TEWMzKy+jynhCuI9LFKSwqwz3Lt8PzxInH/QsdUD3RlxEi0DNGAmEcMQzDMKEP1xHphFA9Ca0ODQvfK/YyQgBAg9MYWfheMaZlp3qNp4ZZ6ptaDY0QAFhTXIH6plbXeF/GUXl1A+5Zvt3QOFIN/wSiYqaVMewNYhiGUYcNkRBAxZOwpaTKTeeJBqCsugFbSqrcChp5ejjWfwu8tvmQrmdj8epi0rwXry7GouuGt8s4UpkXEJgeIlbGsDeIYRjGGl07SNUJEJ4ET+NCeBIKi8rcPq8449sI8aUzCrOsKa5Awatb3T4rraQV2BE6FeNIRnVeqscqUGOsbINhGIZxwoZIEDHzJABOT0KrlG6dEGXc5ttTpxJmEaQnxpC2IXRWjCPVeVk5VoEYY2UbDMMwTBtsiAQRK56ENXuPk/620KmEWQTTLkgljRG6lF7RJL2sU52XlWMViDFWvUEMwzCMEzZEgogVT4Jq/wLVMAsAnG5oJo0RuksyE5EWHw1faZk2OPMlLslM1N0eZV5WjlUgxljZBsMwDNMGGyJBxIonISOJ1pdA6FT1VuYVZrfhsWuchXk8jRHx/8euyXZLVFWdl5VjFYgxVrbBMAzDtMGGSBCx4kl4hFiJT+hU9VbnlZ+ThhduGY3UePcHbmp8tO7SXdV5WZlTIMZY2QbDMAzTBhsiQcSKJyEmMgzTslMM/+607BRXHQ5VvdV5AU5jZMPDU/F6QS6euXkkXi/IxYaHp+ouX1Wdl5U5BWKM1WPFMAzDOOHKqiGAlRoUquXXrZRrD8Uy8lxHhGEYJvThEu+dECtVOVUrklppYBeKjfW4sirDMExow4YIwzAMwzBBQ+X5zTkiDMMwDMMEDTZEGIZhGIYJGmyIMAzDMAwTNNgQYRiGYRgmaLAhwjAMwzBM0GBDhGEYhmGYoMGGCMMwDMMwQYMNEYZhGIZhggYbIgzDMAzDBA02RBiGYRiGCRpsiDAMwzAMEzTCgz0BhlFtFtfU4sBrm0pxsKoO6YmxmJWXgchwtqkZhmE6I341RDIyMnDw4EG3z5YsWYI5c+b4c7NMJ6KwqAwL3ytGWXWD67O0+Gg8dk028nPSvPRLVhdj2foSOKRWjU+u3oOCSZmYOz07EFNmGIZhOhC/e0Qef/xxFBQUuP7fq1cvf2+S6SQUFpXhnuXb4dn+uby6Afcs344XbhntZowsWV2Mv3xW4vV3HBpcn7MxwjAM07nwuz+7V69eSE1Ndf306NHD35tkOgGtDg0L3yv2MkIAuD5b+F4xWs+5PppaHFi23tsIkVm2vgRNLY6OnSjDMAzjV/xuiCxduhRJSUkYNWoUnn76abS0tPh7k0wnYEtJlVs4xhMNQFl1A7aUVAEAXttU6haO0cOhOXUMwzBM58GvoZmf/exnGD16NBITE7Fx40bMnTsXZWVl+P3vf6+rb2xsRGNjo+v/NTU1/pweE0Qqzvg2QvR0B6vqSHqqjmEYhgkNlD0ic+bMgc1mM/zZu3cvAODBBx/EpZdeihEjRmD27Nn43e9+h2effdbN2JBZsmQJ4uPjXT8DBw5s394xIUtKr2glXXpiLElP1TEMwzChgU3TNBOHtzsnTpxAZWWloSYrKwuRkZFen3/99dfIycnB3r17MXToUK/f63lEBg4ciOrqasTFxalMkwlxWh0aJj61FuXVDbp5IjYAqfHR2PDwVITZbWhqcWDYvA8MwzN2G7B30dW8lJdhGCbI1NTUID4+nvT8Vg7NJCcnIzk52dLEdu7cCbvdjpSUFN3fR0VFISoqytLfZjoXYXYbHrsmG/cs3w4b4GaMiAoij12T7aonEhluR8GkTN1VM4KCSZlshDAMw3Qy/JYjsmnTJnzxxRe47LLL0KtXL2zatAkPPPAAbrnlFvTu3dtfm2U6Efk5aXjhltFedURSfdQREUtzPeuI2G3gOiIMwzCdFOXQDJXt27fj3nvvxd69e9HY2IjMzEzMmjULDz74INnroeLaYTovXFmVYRima6Hy/PabIdIRsCHCMAzDMJ0Plec3v0YyDMMwDBM02BBhGIZhGCZosCHCMAzDMEzQYEOEYRiGYZigwYYIwzAMwzBBgw0RhmEYhmGChl+b3jEM0z1QrQXDMAwjYEOEYRg3VI2KwqIyLHj3a5TXtPWJSo2LwoKZF3pVxxVwUTqGYQRc0IxhujgqhkVhUZlXyf00HyX3hX728u0+t/3iLaO9xi1ZXcxl+hmmi8OVVRmGAaBmWBQWleGe5du9uiELk+UFD6Oi1aFhzBNrcLqu2ef2E2IjsO3RaS7DZ8nqYsPGhXdPZmOEYboCXFmVYRiXYSEbIQBQXt2Ae5ZvR2FRmeuzVoeGhe8VexkhQFtn5IXvFaNVcmNs3l9paIQAwOm6ZmzeXwnAGY5Ztt63EQI4Gxo2tTgMNQzDdC3YEGGYLoiqYbGlpMrLYPEcU1bdgC0lVa7PNh04SZqL0L22qdQtHKOHQ3PqGIbpPrAhwjBdEFXDouKMb62Mu466KsapO1hVR1JTdQzDdA3YEGGYLoiqYZHSK5qkl3V5g5NIY4QuPTGWpKfqGIbpGrAhwjBdEFXD4pLMRKTFR/v0cdjgTHK9JDPR9VluVhISYiMM/37v2AjkZjkNkVl5GTArLWK3OXUMw3Qf2BBhmC6IqmERZrfhsWuyXb/z1ALAY9dkuy37DbPbsPSG4YbzWHLDcNeYyHA7CiZlGuoLJmVyPRGG6WbwN55huiBWDIv8nDS8cMtopMa7e1NS46O9lu7KY168ZTRS49zHpMVH69YQmTs9G3dPzvTyjNhtvHSXYborXEeEYbowqgXKAGvl2lXHcGVVhunacEEzhmFccB8YhmECjcrzm3vNMEwXJ8xuI69wYRiGCTTsC2UYhmEYJmiwIcIwDMMwTNBgQ4RhGIZhmKDBhgjDMAzDMEGDDRGGYRiGYYIGGyIMwzAMwwQNNkQYhmEYhgkabIgwDMMwDBM02BBhGIZhGCZosCHCMAzDMEzQYEOEYRiGYZigwYYIwzAMwzBBgw0RhmEYhmGCBhsiDMMwDMMEDTZEGIZhGIYJGmyIMAzDMAwTNNgQYRiGYRgmaLAhwjAMwzBM0GBDhGEYhmGYoMGGCMMwDMMwQcOvhsiqVaswbtw4xMTEoHfv3rjuuuv8uTmGYRiGYToZ4f76w2+++SYKCgqwePFiTJ06FS0tLSgqKvLX5hiGYRiG6YT4xRBpaWnB/fffj6effhp33nmn6/Ps7Gx/bI5hGIZhmE6KX0Iz27dvx9GjR2G32zFq1CikpaXh6quvNvWINDY2oqamxu2HYRiGYZiui18MkQMHDgAAFixYgEcffRTvv/8+evfujUsvvRRVVVU+xy1ZsgTx8fGun4EDB/pjegzDMAzDhAhKhsicOXNgs9kMf/bu3QuHwwEA+PWvf40bb7wRY8aMwd///nfYbDb8+9//9vn3586di+rqatfP4cOH27d3DMMwDMOENEo5Ig899BBuv/12Q01WVhbKysoAuOeEREVFISsrC4cOHfI5NioqClFRUSpTYhiGYRimE6NkiCQnJyM5OdlUN2bMGERFRWHfvn2YOHEiAKC5uRmlpaVIT0+3NlOGYRiGYbocflk1ExcXh9mzZ+Oxxx7DwIEDkZ6ejqeffhoA8P3vf98fm2QYhmEYphPitzoiTz/9NMLDwzFr1izU19dj3LhxWLt2LXr37u2vTTIMwzAM08mwaZqmBXsSvqipqUF8fDyqq6sRFxcX7OkwDMMwDENA5fnNvWYYhmEYhgkabIgwDMMwDBM02BBhGIZhGCZosCHCMAzDMEzQYEOEYRiGYZigwYYIwzAMwzBBgw0RhmEYhmGCBhsiDMMwDMMEDTZEGIZhGIYJGmyIMAzDMAwTNNgQYRiGYRgmaLAhwjAMwzBM0GBDhGEYhmGYoMGGCMMwDMMwQYMNEYZhGIZhggYbIgzDMAzDBA02RBiGYRiGCRrhwZ4AwzAMhVaHhi0lVag404CUXtG4JDMRYXZbsKfFMEw7YUOEYZiQp7CoDAvfK0ZZdYPrs7T4aDx2TTbyc9KCODOGYdoLh2YYhglpCovKcM/y7W5GCACUVzfgnuXbUVhUFqSZMQzTEbAhwjBMyNLq0LDwvWJoOr8Tny18rxitDj0FwzCdATZEGIYJWbaUVHl5QmQ0AGXVDdhSUhW4STEM06GwIcIwTMhScca3EWJFxzBM6MGGCMMwIUtKr+gO1TEME3qwIcIwTMhySWYi0uKj4WuRrg3O1TOXZCYGcloMw3QgbIgwDBOyhNlteOyabADwMkbE/x+7JpvriTBMJ4YNEYZhQpr8nDS8cMtopMa7h19S46Pxwi2juY4Iw3RyuKAZwzAhT35OGqZlp3JlVYbpgrAhwjBMpyDMbkPe4KRgT4NhmA6GQzMMwzAMwwQNNkQYhmEYhgkabIgwDMMwDBM02BBhGIZhGCZosCHCMAzDMEzQYEOEYRiGYZigwYYIwzAMwzBBgw0RhmEYhmGCBhsiDMMwDMMEjZCurKppGgCgpqYmyDNhGIZhGIaKeG6L57gRIW2InDlzBgAwcODAIM+EYRiGYRhVzpw5g/j4eEONTaOYK0HC4XDg2LFj6NWrF2y2jm1uVVNTg4EDB+Lw4cOIi4vr0L8dynTX/QZ437vjvnfX/QZ437vjvofSfmuahjNnzqBfv36w242zQELaI2K32zFgwAC/biMuLi7oJywYdNf9Bnjfu+O+d9f9Bnjfu+O+h8p+m3lCBJysyjAMwzBM0GBDhGEYhmGYoNFtDZGoqCg89thjiIqKCvZUAkp33W+A97077nt33W+A97077ntn3e+QTlZlGIZhGKZr0209IgzDMAzDBB82RBiGYRiGCRpsiDAMwzAMEzTYEGEYhmEYJmh0S0Pkz3/+MzIyMhAdHY1x48Zhy5YtwZ6S31mwYAFsNpvbz7Bhw4I9Lb/w2Wef4ZprrkG/fv1gs9nw9ttvu/1e0zTMnz8faWlpiImJwRVXXIFvv/02OJPtQMz2+/bbb/e6BvLz84Mz2Q5myZIlGDt2LHr16oWUlBRcd9112Ldvn5umoaEBP/3pT5GUlISePXvixhtvxPHjx4M0446Bst+XXnqp13mfPXt2kGbccbzwwgsYMWKEq3hXXl4ePvjgA9fvu+L5Bsz3uzOe725niLzxxht48MEH8dhjj2H79u246KKLcNVVV6GioiLYU/M7F154IcrKylw/GzZsCPaU/MLZs2dx0UUX4c9//rPu73/zm9/gT3/6E1588UV88cUX6NGjB6666io0NDQEeKYdi9l+A0B+fr7bNfD6668HcIb+Y926dfjpT3+KzZs3Y82aNWhubsaVV16Js2fPujQPPPAA3nvvPfz73//GunXrcOzYMdxwww1BnHX7oew3ABQUFLid99/85jdBmnHHMWDAACxduhTbtm3Dl19+ialTp+Laa6/F119/DaBrnm/AfL+BTni+tW7GJZdcov30pz91/b+1tVXr16+ftmTJkiDOyv889thj2kUXXRTsaQQcANpbb73l+r/D4dBSU1O1p59+2vXZ6dOntaioKO31118Pwgz9g+d+a5qm3Xbbbdq1114blPkEmoqKCg2Atm7dOk3TnOc4IiJC+/e//+3S7NmzRwOgbdq0KVjT7HA891vTNG3KlCna/fffH7xJBZDevXtr//d//9dtzrdA7Lemdc7z3a08Ik1NTdi2bRuuuOIK12d2ux1XXHEFNm3aFMSZBYZvv/0W/fr1Q1ZWFn784x/j0KFDwZ5SwCkpKUF5ebnbNRAfH49x48Z1i2vg008/RUpKCoYOHYp77rkHlZWVwZ6SX6iurgYAJCYmAgC2bduG5uZmt/M+bNgwDBo0qEudd8/9FvzjH/9Anz59kJOTg7lz56Kuri4Y0/Mbra2tWLFiBc6ePYu8vLxuc74991vQ2c53SDe962hOnjyJ1tZW9O3b1+3zvn37Yu/evUGaVWAYN24cXn75ZQwdOhRlZWVYuHAhJk2ahKKiIvTq1SvY0wsY5eXlAKB7DYjfdVXy8/Nxww03IDMzE/v378cjjzyCq6++Gps2bUJYWFiwp9dhOBwO/PznP8eECROQk5MDwHneIyMjkZCQ4KbtSuddb78B4Ec/+hHS09PRr18/7Nq1Cw8//DD27duHlStXBnG2HcPu3buRl5eHhoYG9OzZE2+99Rays7Oxc+fOLn2+fe030DnPd7cyRLozV199tevfI0aMwLhx45Ceno5//etfuPPOO4M4MyZQ3Hzzza5/Dx8+HCNGjMDgwYPx6aef4vLLLw/izDqWn/70pygqKuqyOVC+8LXfd911l+vfw4cPR1paGi6//HLs378fgwcPDvQ0O5ShQ4di586dqK6uxn/+8x/cdtttWLduXbCn5Xd87Xd2dnanPN/dKjTTp08fhIWFeWVOHz9+HKmpqUGaVXBISEjA+eefj++++y7YUwko4jzzNQBkZWWhT58+XeoauO+++/D+++/jk08+wYABA1yfp6amoqmpCadPn3bTd5Xz7mu/9Rg3bhwAdInzHhkZiSFDhmDMmDFYsmQJLrroIjzzzDNd/nz72m89OsP57laGSGRkJMaMGYOPP/7Y9ZnD4cDHH3/sFl/rDtTW1mL//v1IS0sL9lQCSmZmJlJTU92ugZqaGnzxxRfd7ho4cuQIKisru8Q1oGka7rvvPrz11ltYu3YtMjMz3X4/ZswYREREuJ33ffv24dChQ536vJvttx47d+4EgC5x3j1xOBxobGzssufbF2K/9egU5zvY2bKBZsWKFVpUVJT28ssva8XFxdpdd92lJSQkaOXl5cGeml956KGHtE8//VQrKSnRPv/8c+2KK67Q+vTpo1VUVAR7ah3OmTNntB07dmg7duzQAGi///3vtR07dmgHDx7UNE3Tli5dqiUkJGjvvPOOtmvXLu3aa6/VMjMztfr6+iDPvH0Y7feZM2e0X/ziF9qmTZu0kpIS7aOPPtJGjx6tnXfeeVpDQ0Owp95u7rnnHi0+Pl779NNPtbKyMtdPXV2dSzN79mxt0KBB2tq1a7Uvv/xSy8vL0/Ly8oI46/Zjtt/fffed9vjjj2tffvmlVlJSor3zzjtaVlaWNnny5CDPvP3MmTNHW7dunVZSUqLt2rVLmzNnjmaz2bT//ve/mqZ1zfOtacb73VnPd7czRDRN05599llt0KBBWmRkpHbJJZdomzdvDvaU/M5NN92kpaWlaZGRkVr//v21m266Sfvuu++CPS2/8Mknn2gAvH5uu+02TdOcS3jnzZun9e3bV4uKitIuv/xybd++fcGddAdgtN91dXXalVdeqSUnJ2sRERFaenq6VlBQ0GUMcL39BqD9/e9/d2nq6+u1e++9V+vdu7cWGxurXX/99VpZWVnwJt0BmO33oUOHtMmTJ2uJiYlaVFSUNmTIEO2Xv/ylVl1dHdyJdwB33HGHlp6erkVGRmrJycna5Zdf7jJCNK1rnm9NM97vznq+bZqmaYHzvzAMwzAMw7TRrXJEGIZhGIYJLdgQYRiGYRgmaLAhwjAMwzBM0GBDhGEYhmGYoMGGCMMwDMMwQYMNEYZhGIZhggYbIgzDMAzDBA02RBiGYRiGCRpsiDAMwzAMEzTYEGEYhmEYJmiwIcIwDMMwTNBgQ4RhGIZhmKDx/wHPPT7gJfgufwAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"integrity check: vtd-based pops.  These should all be within single digits\")\n",
    "HDvtdbasedPop = [0. for t in range(nHDs)]\n",
    "HDvPop = [0. for t in range(nHDs)]\n",
    "nSurrs = [0. for t in range(nHDs)]\n",
    "for t in range(nHDs):\n",
    "    for u in HDunitList[t]:\n",
    "        HDvPop[t] += unitPop[u]\n",
    "        if u in surroundedVTDs:\n",
    "            nSurrs[t] += 1\n",
    "    for v in HDfullVTDlist[t]:\n",
    "        HDvtdbasedPop[t] += origVTDpop[v] #tractPop[v]\n",
    "    for i,v in enumerate(HDpartialVTDlist[t]):\n",
    "        HDvtdbasedPop[t] += HDvtdFrac[t][i] * origVTDpop[v] #tractPop[v] also works\n",
    "        \n",
    "plt.scatter([nSurrs[t] for t in popHDlist], [HDvPop[t] - HDvtdbasedPop[t] for t in popHDlist] )\n",
    "print(\"x = n surrounded, y= unit - vtd-based\")\n",
    "plt.show()\n",
    "plotThis = False\n",
    "for t in popHDlist:  #seems like for TN, we lost a vtd in converting from unit-based to vtd-based\n",
    "    if abs(HDvPop[t] - HDvtdbasedPop[t]) > 10:\n",
    "        plotThis = True\n",
    "        print(\"t, HDunit-based pop - pop from vtd-based HDs\",t,r3(HDvPop[t] - HDvtdbasedPop[t]) )\n",
    "        plotPoly(tractCP[t].buffer(0.1))\n",
    "if plotThis:\n",
    "    plotPoly(MAP)\n",
    "    print(\"Here are the HD centers with significant pop difference between unit-based and vtd-based HD lists\")\n",
    "    plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ef27af54-daf5-4e8f-9230-bce5b0b1e705",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "3ad3342b-b8e3-46f5-a3e5-f49df386b88f",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\n",
      "Let's read in the 2020 and 2016 voting data for WA\n",
      "In year/election 2020 Dem and GOP total votes were 2367943 1583633 for a stateGOP of 0.40076\n",
      "There are a total of 7434  vote-mapped voting districts from election(s) in year  2020\n",
      "In year/election 2016 Dem and GOP total votes were 1742334 1221620 for a stateGOP of 0.41216\n",
      "There are a total of 7434  vote-mapped voting districts from election(s) in year  2016\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, read in the votes by vtd to compute ensemble vote margin vs. true state vote margin\")\n",
    "#note: we started w possibility of separate election --> 2020 vtd files by year.  Now we use ALARM combined 2016+2020 --> 2020 csv's for all exc CA\n",
    "# copied from \"HDpartisanAnalysis\"\n",
    "print(\"Let's read in the 2020 and 2016 voting data for\",STATE)\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G16PREDCLI\"], [\"G16PRERTRU\" ], list()\n",
    "#DemCandidates, RepCandidates, vestDFs = [\"G20PREDBID\", \"G16PREDCli\"], [\"G20PRERTRU\" ,\"G16PRERTru\" ], list()\n",
    "DemCandidates, RepCandidates, vestDFs = [\"pre_20_dem_bid\", \"pre_16_dem_cli\"], [\"pre_20_rep_tru\" ,\"pre_16_rep_tru\" ], list()\n",
    "nYears = 2\n",
    "unitIDs, vestReps,vestDems,yearLean = [list()]*nYears, [0]*nYears, [0]*nYears, [0.5]*nYears\n",
    "years = [str(2020),str(2016)]\n",
    "DemVotes, RepVotes = [list() for y in years], [list() for y in years]\n",
    "vestDir = \"./state_map_files/\" + STATE.lower()\n",
    "vestDF = pd.read_csv(vestDir + \"_2020_vtd.csv\")\n",
    "mergedDF = vestDF.copy() #pd.merge(mergedDF,vestDF, on = \"GEOID20\")\n",
    "for y,year in enumerate(years):\n",
    "    DemVotes[y], RepVotes[y], unitIDs[y] = mergedDF[DemCandidates[y]], mergedDF[RepCandidates[y]], vestDF[(\"GEOID20\")]\n",
    "    vestDems[y], vestReps[y] = np.sum(DemVotes[y]), np.sum(RepVotes[y])\n",
    "    yearLean[y] = vestReps[y]/float(vestDems[y]+vestReps[y])\n",
    "    print(\"In year/election\",year,\"Dem and GOP total votes were\",int(vestDems[y]),int(vestReps[y]),\"for a stateGOP of\",r5(yearLean[y]) )\n",
    "    nVTDs = len(DemVotes[y])\n",
    "    print(\"There are a total of\",nVTDs,\" vote-mapped voting districts from election(s) in year \",years[y])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f628069d-4177-401e-bf49-b7f194d0ef8b",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "5cf73783-4a48-4a3f-a2e3-c1b9ff32c859",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now let's read in our ensemble of HD districts for WA\n"
     ]
    },
    {
     "name": "stdin",
     "output_type": "stream",
     "text": [
      "enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv WA7434patched0p07352WithCutsVTDs.csv\n",
      "enter the number of Congr'l districts in the state; e.g. 8 10\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "This ensemble or enacted map describes 7434 drawn districts.  This state has 10 districts per map\n",
      "converting vtd list strings to vtd lists by drawn district ...\n",
      "the total weight across all rows should be 1.000, actually is 1.0\n",
      "I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\n",
      "translating from HD order of precinct rows to VEST order\n"
     ]
    }
   ],
   "source": [
    "print(\"Now let's read in our ensemble of HD districts for\",STATE)\n",
    "infilename = input(\"enter the filename with the vtd assignments to districts; e.g. NC2666patchedWithCutsVTDs.csv\")\n",
    "\n",
    "HDdf = pd.read_csv(\"2024state_HD_output/\"+infilename)\n",
    "nRows = len(HDdf)\n",
    "nStateDistricts = int(input(\"enter the number of Congr'l districts in the state; e.g. 8\"))\n",
    "print(\"This ensemble or enacted map describes\",nRows,\"drawn districts.  This state has\",nStateDistricts,\"districts per map\")\n",
    "\n",
    "HDvPop = HDdf[\"HDvPop\"].to_list()\n",
    "HDweight = HDdf['HDweight'].to_list()\n",
    "#tractPop = HDdf['tractPop'].to_list()\n",
    "#statePop = np.sum(tractPop)\n",
    "tractCPx = HDdf['centroid x'].to_list()\n",
    "tractCPy = HDdf['centroid y'].to_list()\n",
    "HDvtdListString = HDdf[\"HDvtdList\"]\n",
    "print(\"converting vtd list strings to vtd lists by drawn district ...\")\n",
    "HDvtdList = [list() for t in range(nRows) ]\n",
    "for t in range(nRows):\n",
    "    if HDvtdListString[t] != \"[]\":\n",
    "        HDvtdList[t] = ast.literal_eval(HDvtdListString[t])\n",
    "\n",
    "if \"partials\" in HDdf.columns.values: #\"splitTractNo\" #.to_list():\n",
    "    splitTractList, splitTractUseList = HDdf['partials'], HDdf['HDvtdFrac']\n",
    "    splitTractNo = [ast.literal_eval(splitTractList[t])    for t in range(nRows)]\n",
    "    splitTractUse = [ast.literal_eval(splitTractUseList[t]) for t in range(nRows)]\n",
    "else :  #incoming file didn't use any partial units, only whole ones\n",
    "    splitTractNo, splitTractUse = [[] for t in range(nRows)] , [ [] for t in range(nRows)]\n",
    "\n",
    "print(\"the total weight across all rows should be 1.000, actually is\",r5(np.sum(HDweight)) )\n",
    "print(\"I am assuming we already read in a 'tractPopFile' of Census vtd geoms & pops with a GEOID20 column\")\n",
    "censusGEOID20 = [ str( tractPopFile['GEOID20'][i]) for i in range(len(tractPopFile['GEOID20'])) ] #force strings to match\n",
    "miniHDdf = pd.DataFrame( {\"GEOID20\":censusGEOID20} )\n",
    "vestNo = [v for v in range(nVTDs)]\n",
    "print(\"translating from HD order of precinct rows to VEST order\")\n",
    "mergedGEO = [str(mergedDF['GEOID20'][i]) for i in range(len(mergedDF['GEOID20'])) ]  #force strings to match\n",
    "miniVestDF = pd.DataFrame( {\"GEOID20\":mergedGEO, \"vestNo\":vestNo} )\n",
    "mappingDF = pd.merge(miniHDdf,miniVestDF,on=\"GEOID20\")\n",
    "vestID = mappingDF['vestNo']  #this maps each named unit in a HDVL to the correct vestNo row with voting data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "540c6d1d-7728-48bf-90f0-f124b25ac7c2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sanity check - Dem-leaning vtds for year 2020\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(\"sanity check - Dem-leaning vtds for year\",years[0])  #for MA, do GOP-leaning.  Other states, use Dem-leaning\n",
    "for v in range(nVTDs):\n",
    "    plotPoly(vtdGeom[v],0.2)\n",
    "    if DemVotes[0][vestID[v]] > RepVotes[0][vestID[v]]:\n",
    "        plt.text(vtdGeom[v].centroid.x, vtdGeom[v].centroid.y, \"D\", color = \"blue\",fontsize=6)\n",
    "        #plotCenter(\"d\",vtdGeom[v],6)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "56ed7e9d-1400-4848-892e-737555552d58",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\n",
      "working on drawn district no 0\n",
      "working on drawn district no 1000\n",
      "working on drawn district no 2000\n",
      "working on drawn district no 3000\n",
      "working on drawn district no 4000\n",
      "working on drawn district no 5000\n",
      "working on drawn district no 6000\n",
      "working on drawn district no 7000\n",
      "here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\n",
      "true 2020: 2367943 1583633 -784310\n",
      "ensemble : 2357422 1591169 -766253\n",
      "the true and ensemble state GOP leans are 0.40076 0.4029713027373094\n"
     ]
    }
   ],
   "source": [
    "print(\"Now, let's compute the ensemble average vote margin (GOP -  Dem total votes) for 2020 vs. true statewide result\")\n",
    "nDrawnDistricts = len(HDweight)  #now including cut districts\n",
    "nMapDistricts = nCutDistricts + nDistricts\n",
    "nEnsembleDems, nEnsembleReps = [0.]*nYears, [0.]*nYears\n",
    "y=0\n",
    "for t in range(nDrawnDistricts):\n",
    "    if t%1000 == 0:\n",
    "        print(\"working on drawn district no\",t)\n",
    "    nEnsembleDems[y] += nMapDistricts* HDweight[t] * ( np.sum([DemVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([DemVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "    nEnsembleReps[y] += nMapDistricts* HDweight[t] * ( np.sum([RepVotes[y][vestID[v]] for v in HDvtdList[t] ])\n",
    "                                               + np.sum([RepVotes[y][vestID[v]] * splitTractUse[t][i] for i,v in enumerate(splitTractNo[t]) ])  )\n",
    "\n",
    "print(\"here is the table of Dem and Rep votes, vote margin for true 2020 vs. ensemble\")\n",
    "print(\"true 2020:\",int(vestDems[y]),int(vestReps[y]),              int(vestReps[y] - vestDems[y]) )\n",
    "print(\"ensemble :\",int(nEnsembleDems[y]),int(nEnsembleReps[y]),    int(nEnsembleReps[y] - nEnsembleDems[y]) )\n",
    "print(\"the true and ensemble state GOP leans are\",r5(vestReps[y]/(vestReps[y]+vestDems[y])),\n",
    "      nEnsembleReps[y]/(nEnsembleReps[y]+nEnsembleDems[y]) )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "id": "5c607c63-df0d-4334-8131-368c090c76d2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "total drawn districts, HD-drawn, map districts 2466 2465 11\n"
     ]
    }
   ],
   "source": [
    "print(\"total drawn districts, HD-drawn, map districts\",nDrawnDistricts,nHDs, nMapDistricts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "bb0d0d12-6bf4-4d5f-9236-fa8735393e98",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
